The Pornification of Everything: Patricia Nilsson’s Guilty Pleasure and the Limits of Liberal Critique

Patricia Nilsson’s Guilty Pleasure (Allen Lane, 2026) has garnered respectful praise from the British press, which often reserves such recognition for books that seem provocative but ultimately uphold existing ideologies. Critics have labelled it as “intelligent,” “necessary,” and even “brave.” In reality, Nilsson has compiled evidence with implications far more provocative than she is willing, or allowed, to acknowledge explicitly. The book’s true importance lies not in its conclusions, which stay within the Financial Times’ liberal confines. Still, it offers raw material for a genuinely radical critique of the digital economy.

Nilsson’s main argument is straightforward and accurate: the commercial pornography sector was not just a marginal side activity alongside the internet’s growth. Instead, it served as a testing ground where key platform-capitalism techniques were developed, tested, and perfected. Features like recommendation algorithms, targeted ads, seamless payment methods, high-definition streaming, and the design of addictive engagement- these innovations were first implemented on porn websites before spreading to Silicon Valley. She contends that the porn industry “wrote the code” for today’s internet.

This insight is substantial. Its importance isn’t about moral contamination of technology by sex, as Nilsson suggests, but rather about how the porn industry illustrates the application of capitalist logic to the most personal aspects of human life, subsequently influencing everything else. Pornography didn’t distort the internet; it revealed the economic forces that would come to shape it.

Nilsson traces the industry’s development through three stages. The first is the pre‑internet era of print and video, dominated by figures such as Hugh Hefner and Larry Flynt. Here her tone becomes oddly nostalgic, as if the exploitation of women in the Playboy mansion or the coercive labour conditions of 1970s porn sets were somehow more “authentic” than what followed. This soft focus obscures the continuity of exploitation across all phases of the industry.

The second stage, characterised by the emergence of ‘tube sites’, is where Nilsson’s reporting is most compelling. These platforms, built on user-uploaded pirated content, perfected a business model that now underpins the entire platform economy: exploiting the labour of millions, monetising their attention, and selling it to advertisers. Content creators received no payment; their work was stolen. A few anonymous owners, operating through offshore holding companies, took the profits. Pornography not only foreshadowed Facebook, YouTube, and TikTok but also served as their prototype.

Nilsson describes the third stage, the “creator economy” exemplified by OnlyFans, as the “commodification of the self.” While she correctly identifies this trend, she doesn’t explore its implications enough. Amid declining real wages, unstable jobs, and the breakdown of social safety nets, millions of young people are compelled to turn their personalities, bodies, and private lives into commodities. OnlyFans is not an anomaly; it vividly illustrates a broader pattern: turning the self into a source of income.

Nilsson also highlights the new industry’s owners: financiers, private equity firms, and “tech nerds” with little interest in pornography. Porn has become just another asset class, managed and traded like care homes or water utilities. This lack of concern for the product is not surprising but is, in fact, the defining trait of finance capital.

Nilsson’s critique effectively ends at the boundary of property relations. She recognises the odd aspects of online life but interprets them as psychological effects of technology, rather than manifestations of capitalist social relations. Smartphones are not the root cause of the alienation she describes; instead, alienation is inherent in labour itself, now extending into personal intimacy and inner life. Nilsson provides compelling evidence, but she leaves the reader to interpret the findings.

From Hefner to the Hedge Fund: The Industrialisation of Desire

Nilsson categorises the industry’s history into three stages, clearly highlighting the strengths and limitations of her framework. The first stage covers the pre-internet period, featuring print and video, and is exemplified by figures like Hugh Hefner and Larry Flynt. In this phase, her tone takes on a surprising nostalgic quality, suggesting that the exploitation of women at the Playboy mansion or the coercive working conditions of 1970s porn sets were somehow more genuine than later developments. This reflects a common liberal tendency: romanticising the past to portray the present as unusually pathological, and framing exploitation as a series of colourful personalities and cultural acts of rebellion. Hefner is depicted more as a disreputable showman than as an employer profiting from women’s commodification; Flynt is portrayed as a First Amendment hero instead of a businessman benefiting from highly unequal labour practices. Nilsson’s perspective inadvertently perpetuates the industry’s own mythologies.

The second phase- the emergence of “tube sites” really highlights Nilsson’s investigative work. These sites, mainly fuelled by user-uploaded pirated videos, perfected the business model that now underpins the entire platform economy. They exploited millions of creators’ labour, monetised user attention, and sold it to advertisers. They didn’t pay content creators; they stole their labour. Profits went to a small group of anonymous owners operating through offshore companies, avoiding public scrutiny and legal responsibilities. Nilsson’s detailed account of MindGeek, the leading conglomerate in the tube-site industry, reveals a complicated web of shell companies, tax havens, and obscure ownership meant to maximise profits and avoid accountability.

It is difficult to imagine a clearer demonstration of the real meaning of “user‑generated content.” The porn industry did not merely anticipate the logic of Facebook, YouTube and TikTok. It provided the prototype. The same mechanisms- algorithmic sorting, attention capture, frictionless consumption, and the conversion of human behaviour into monetisable data- were first tested on porn audiences, whose habits offered a vast, unregulated laboratory for behavioural engineering. Silicon Valley did not invent the attention economy; it inherited it.

The third stage, exemplified by OnlyFans, is the “creator economy.” Nilsson calls this the “commodification of the self,” which is accurate, but she doesn’t fully explore its implications. Amid declining real wages, unstable employment, and the erosion of social security, countless young people are compelled to turn their personalities, bodies, and private lives into marketable products. The gig economy has already normalised the necessity for workers to constantly craft personal brands, develop online identities, and monetise every facet of their lives. OnlyFans starkly illustrates this trend: turning the self into a source of income.

Nilsson’s interviews with creators highlight the contradictions within this model. Creators mention autonomy, flexibility, and direct earnings, yet they also face constant pressure to produce content, engage subscribers, and share more of their private lives to sustain their income. The platform’s typical 20 per cent take acts as a rent on the commodification of intimacy. Marketed as empowerment, it is actually a highly individualised form of labour discipline, where the worker is both product and producer, bearing responsibility for all aspects of their exploitation.

Nilsson does not fully recognise that this “creator” model extends beyond sex work. It is increasingly pervasive across the digital economy, affecting influencers, streamers, gig workers, and freelance creatives who are all driven to monetise their identities, foster parasocial bonds, and transform their personal lives into content. The porn industry is not an exception but a leader in a wider shift where the line between work and life completely blurs.

Changes in ownership structures underscore this point. The once flamboyant showmen have been replaced by financiers, private equity firms, and “tech nerds” who lack particular interest in pornography. Porn has become just another asset class, optimised, leveraged, and traded like care homes, water companies, or local newspapers. The detachment of new owners from their product is not surprising, but a key characteristic of finance capital: profits generated without involvement, value extracted without responsibility. Nilsson’s depiction of Bernd Bergmair, the reclusive Austrian banker who managed the Pornhub empire for ten years, exemplifies this trend. Pornography is now more a financial instrument than a cultural industry.

Across these three stages, the through‑line is clear: the porn industry has served as the testing ground for the techniques of capitalist extraction that now dominate online life. What changes is not the underlying logic but the scale, sophistication and anonymity of the mechanisms involved. Nilsson’s narrative captures this evolution but stops short of naming its cause. The problem is not pornography. It is capitalism.

The New Owners: Pornography as an Asset Class

A key part of the book explores who owns the industry today. The once flamboyant showmen have been replaced by financiers, private equity firms, and “tech nerds” who lack a specific interest in pornography—Nilsson’s depiction of Bernd Bergmair, the reclusive Austrian banker who managed the Pornhub empire for ten years, is illustrative. Today, pornography is seen as another asset class to be optimised, leveraged, and sold. The industry’s current owners are not libertines, provocateurs, or cultural rebels. They are portfolio managers. Their connection to the product is strictly utilitarian: pornography is just a source of revenue.

This change is deliberate and reflects the fundamental idea of financial capitalism. Marx observed that the bourgeoisie’s only link to individuals is through self-interest and monetary transactions. Today’s internet sex trade, with its intricate corporate structures, hidden ownership, and algorithm-based profit strategies, illustrates this concept in the modern context. What was once a rebellious subculture has been absorbed into global capitalism, removing any ideas of erotic rebellion and turning into a powerful way to monetise human behaviour.

Nilsson observes the new owners’ indifference to their product, viewing it as a curiosity. In reality, this attitude exemplifies a key aspect of modern capitalism: the detachment of ownership from production and profit from actual human needs. The financiers behind the porn conglomerates are unconcerned with what is produced, who produces it, or the conditions of production. Their primary focus is on the financial return. The content itself is insignificant; cash flow matters most. This phenomenon isn’t unique to the porn industry but reflects a broader pattern of capitalism at its most advanced stage.

Nilsson reveals the ownership structure of offshore trusts, shell companies, and private equity, reflecting how every sector of the economy has become financialised. Care homes, water utilities, newspapers, and housing associations have all been turned into tradeable assets that are bought, stripped, and resold. Pornography is just another part of this extraction network. The guiding principles are the same: maximise profits, reduce liabilities, and hide responsibility with layers of corporate opacity. Nilsson’s detailed coverage of MindGeek’s intricate corporate setup shows how modern capital operates through anonymity, complexity, and distance.

What makes the porn industry particularly revealing is the nature of the commodity being traded. Here, the product is not merely labour but intimacy itself. The financialisation of pornography represents the financialisation of desire. The owners of the major platforms do not produce sexual content; they extract value from the interactions between performers and consumers. They monetise the circulation of images, the compulsive scroll, the data trails left by millions of users. The commodity is not sex but attention. The labour is not erotic performance but producing engagement metrics. The platform is not a publisher but a machine for converting human impulses into profit.

Nilsson hints at this transformation but doesn’t fully explain its significance. The owners’ disregard isn’t just personal preference; it’s structural. Finance capital remains indifferent to the actual content because it considers only the flow of value, not human needs. Whether dealing with a care home or a porn site, the logic remains the same: maximise extraction, minimise investment, and exit when profits fall. The porn industry is not uniquely exploitative; rather, it illustrates a broader pattern.

Workers such as performers, producers, and technicians face predictable consequences, including precarious jobs, algorithmic oversight, and the constant risk of deplatforming. Because owners are detached from the actual product, they lack motivation to improve conditions, ensure safety, or address exploitation. Their primary focus is on managing legal, reputational, and financial risks. Nilsson’s interviews with performers suggest this, but she does not explicitly identify the root issue: how all production aspects are subordinated to the needs of capital accumulation.

The ownership structure of the porn industry also exposes the ideological emptiness of liberal criticisms of “Big Tech.” Nilsson’s book examines a niche part of the internet, but the patterns she highlights are widespread. The same investors who control porn sites also own social media platforms, data brokers, gambling apps, and delivery services. The line between “respectable” tech companies and the pornography industry is misleading. They operate on the same principles, are owned by the same elite, and share a common goal: extracting value from human behaviour.

Nilsson’s analysis suggests a conclusion she cannot fully endorse: the core issue isn’t pornography or technology itself, but private ownership. As long as capital controls the digital infrastructure, it will influence it to serve its interests. The porn industry isn’t an anomaly but a reflection of the system that manages the internet and, more broadly, many parts of social life.

The Limits of Liberal Critique: Alienation Without Class

Despite its strengths, Guilty Pleasure stays within the Financial Times’ ideological limits. Nilsson recognises the “weirdness” of online life- the endless scrolling, feelings of isolation, and the diminishing of intimacy. However, she views these issues mainly as psychological impacts of technology, not as reflections of social relationships. The discomfort she notes is genuine, but her approach stops short of pinpointing its root cause. The FT can describe the symptoms but not the underlying system that causes them.

Smartphones and algorithms do not cause the alienation she mentions. Instead, they serve as channels through which alienation manifests. Nilsson’s term “weirdness” describes how workers become alienated from each other and from the products of their labour, a phenomenon that now extends into leisure, sexuality, and inner life. Compulsive scrolling isn’t a technical error; it’s the result of a social system that prioritises profit over human activity. The erosion of intimacy isn’t a psychological anomaly; it reflects a cultural shift where relationships are increasingly mediated by platforms that treat every interaction as data to be collected.

A technology capable of connecting billions and giving access to all human culture has become a tool for capturing attention and collecting data. This shift is not due to engineers studying porn sites or because pornography has a uniquely corrupting influence on digital design. Instead, it reflects the fact that private corporations control the internet and prioritise profit. The porn industry pioneered techniques like algorithmic sorting, seamless consumption, and behavioural nudging methods now prevalent online. Structural factors drive the spread of these techniques, as capital consistently seeks the most efficient ways to extract value, regardless of the initial domain.

Nilsson’s critique ends precisely at the threshold of property relations. She effectively describes the compulsive nature of digital consumption but doesn’t explore why the internet has been designed to foster such behaviour. While analysing the business models of porn platforms, she avoids questioning the legitimacy of private ownership itself. She uncovers the anonymity of offshore holding companies but refrains from asking why these structures exist or whom they benefit. The ideological boundaries of the FT- its dedication to markets, private property, and the sanctity of profits- serve as the invisible limit of her analysis.

The narrative presents technology as a standalone force shaping human behaviour rather than a collection of tools within an economic system. Nilsson suggests the internet could have evolved differently if different design decisions had been made. However, these choices were not random; they were driven by capital accumulation. The porn industry didn’t deform the internet; it exposed its fundamental logic. Silicon Valley didn’t imitate pornography out of mere salaciousness, but because it was profitable.

By treating alienation as a psychological condition rather than a social relation, Nilsson inadvertently reproduces the ideological mystification she seeks to dispel. The “weirdness” of online life is not a cultural accident. It is the lived experience of a world in which every human need, including the need for intimacy, becomes an opportunity for accumulation. The internet feels strange because it was built to serve interests hostile to human flourishing.

Nilsson assembles important evidence. But her material demands conclusions about ownership, class power, and the capitalist organisation of digital life that remain unstated. The reader must draw them.

The Censorship Trap: How the State Weaponises Moral Panic

Nilsson rightly cautions that fears about pornography are being exploited to justify broad “online safety” policies. Authorities in Britain, the U.S., and Europe have used this issue to implement age checks and mass identity verification. These steps won’t safeguard children; instead, they’ll establish infrastructure for state surveillance of internet activity and curb political expression. The political elite has realised that moral panic is an effective tool for expanding surveillance powers that might otherwise face opposition. The porn industry provides a convenient excuse: a realm already stigmatised, linked to danger, and portrayed as threatening to the vulnerable. Such pretexts allow governments to deploy systems that could later be used against a wide range of content.

The irony is clear. The surveillance methods perfected by the porn industry, such as tracking, behavioural profiling, and seamless identity verification, are now being transferred to the state under the guise of morality. Nilsson hints at this risk but doesn’t fully address its political consequences. The liberal media fails to acknowledge that the same governments calling for censorship are also responsible for economic policies that push millions into the creator economy. The state claiming to protect youth from pornography is also the one that has overseen decades of wage stagnation, housing insecurity, and the erosion of stable jobs. It has normalised insecure labour, fragmented social connections, and encouraged many to monetise their private lives online. The moral panic over pornography isn’t about addressing exploitation; it’s a distraction from its root causes.

Nilsson’s analysis is confined within the ideological limits of the Financial Times. She describes the growth of regulatory powers but doesn’t explore why governments are so eager to expand them. She highlights the risks of mass identification yet fails to link these to the broader authoritarian tendencies of capitalist states. While warning about censorship, she doesn’t acknowledge it as a structural necessity for governments trying to control a society divided by inequality, insecurity, and political unrest. The liberal perspective views surveillance as an unfortunate mistake rather than a vital tool for maintaining social stability during a crisis.

The “online safety” agenda is really about maintaining control, not safety. Age-verification systems collect biometric data, IDs, or verification tokens, and once established, they can be expanded to censor political extremism, misinformation, or dissent. The infrastructure designed to regulate pornography will most likely be repurposed for political suppression. Nilsson alludes to this but avoids explicitly stating that the true motive behind online regulation is political rather than moral. The government aims to control information flow, observe social behaviour, and prevent collective activism.

The porn industry’s surveillance-driven business model serves as a template for state power. What initially aimed at generating profit from sexual content has evolved into a system for monitoring citizens. The line between corporate and government surveillance blurs, with data moving seamlessly between platforms and authorities. Users thus become subject to both economic and political forms of control.

Nilsson assembles the evidence but cannot draw the conclusion her material demands. The problem is not pornography, nor even the platforms themselves. It is the convergence of corporate and state power in a system that treats both intimacy and dissent as threats to be managed. The “online safety” regimes are not a moral project. They are the next stage in the political economy of surveillance.

What Is to Be Done?

Nilsson’s subtitle promises an account of the pornification of “everything else,” and in this sense the book succeeds. It shows that the degradation of online life is not a cultural problem but an economic one. In a system where every human need becomes an opportunity for accumulation, intimacy becomes content, desire becomes data, and the self becomes a commodity. The porn industry is not an aberration but a magnifying lens: it reveals, in its most concentrated form, the logic that governs the entire digital economy. What appears as a cultural shift is, in fact, the extension of capitalist social relations into the most private dimensions of human experience.

Nilsson’s reporting makes clear that the techniques developed within the porn industry- algorithmic sorting, behavioural nudging, frictionless payment systems, the engineering of compulsive engagement- were not adopted by Silicon Valley because they were salacious or transgressive. They were adopted because they were profitable. The porn industry pioneered the most efficient methods for extracting value from human behaviour, and the rest of the digital economy followed. The “pornification” of everything is not a cultural contagion but a structural process: the universalisation of a business model built on surveillance, expropriation and the monetisation of attention.

The way out lies neither in nostalgia for Playboy nor in regulatory tinkering by capitalist governments. Nostalgia is politically useless. The pre‑internet porn industry was no less exploitative; it simply operated on a smaller scale and with more theatrical personalities. Regulation, meanwhile, cannot change the fact that private corporations own and control the internet and aim only for profit. Governments may impose age‑verification systems, content filters or “online safety” regimes, but these measures do nothing to challenge the underlying property relations. They merely add new layers of surveillance and control, often expanding the very powers later used to police political speech.

A genuine alternative requires abolishing private ownership of major technology and media corporations, socialising digital infrastructure, and giving the working class democratic control of online platforms. Only then can the internet become what it should have been: a collective resource for human development rather than a machine for extracting profit from loneliness. The internet’s potential to connect billions, make the whole of human culture accessible, and facilitate global collaboration has been systematically subordinated to the imperatives of capital. Reclaiming that potential demands a transformation not of interface design or content moderation but of ownership and control.

Nilsson’s material points toward this conclusion even if she cannot state it. Her account of the porn industry’s evolution from flamboyant showpeople to opaque financial conglomerates illustrates the broader trajectory of digital capitalism. Her analysis of tube‑site business models exposes the structural theft at the heart of “user‑generated content.” Her discussion of the creator economy shows how precarious labour and falling wages have pushed millions to monetise their private lives. Her warnings about “online safety” regimes show how moral panic becomes a vehicle for expanding state surveillance.

But at each point, her critique stops where it must: at the threshold of property relations. She can describe the symptoms, but not the cause. She can expose the mechanisms, but not the system. She can analyse the pornification of everything, but not the capitalist totality that makes it inevitable. Nilsson has assembled important evidence. Her readers must draw the conclusions she cannot draw.

Articles and Bibliography for Guilty Pleasure Review

I. Marxist Theory, Alienation & Commodification

  • Karl Marx – Economic and Philosophic Manuscripts of 1844: Foundational text on alienation, labour, and the commodification of human activity. Essential for framing the “commodification of the self” and the transformation of intimacy into a revenue stream.
  • Karl Marx – Capital, Vol. I–III: For analysis of commodity fetishism, surplus value, and the separation of ownership from production—central to the critique of finance capital’s role in the porn industry.
  • György Lukács – History and Class Consciousness: Key for understanding reification and how capitalist social relations penetrate consciousness and everyday life.
  • David Harvey – A Brief History of Neoliberalism: Useful for contextualising the rise of precarious labour, gig work, and the economic conditions driving millions into the creator economy.
  • Nancy Fraser – “Behind Marx’s Hidden Abode” (2014): On social reproduction and the extension of capitalist extraction into intimate life.

II. Digital Capitalism, Surveillance & Platform Economy

  • Shoshana Zuboff – The Age of Surveillance Capitalism: The definitive account of how data extraction became the core business model of the internet. Essential for the argument that porn pioneered techniques later adopted by Silicon Valley.
  • Nick Srnicek – Platform Capitalism: A concise theoretical framework for understanding tube sites, OnlyFans, and the broader platform economy.
  • Christian Fuchs – Digital Labour and Karl Marx: Directly relevant to analysis of unpaid labour on tube sites and the expropriation of user‑generated content.
  • Jodi Dean – Blog Theory: On communicative capitalism, compulsive engagement, and the political economy of online behaviour.
  • Evgeny Morozov – The Net Delusion. Useful for your section on “online safety” regimes and the state’s appropriation of surveillance tools.

III. Pornography, Sex Work & Internet History

  • Gail Dines – Pornland: How Porn Has Hijacked Our Sexuality. A cultural critique of pornography’s mainstreaming; useful for contrasting liberal moralism with your economic analysis.
  • Chauntelle Tibbals – Exposure: A Sociologist Explores Sex, Society, and Adult Entertainment. Empirical research on labour conditions in the porn industry.
  • Katrien Jacobs – Netporn: DIY Web Culture and Sexual Politics: Early analysis of online porn communities and user‑generated sexual content.
  • Sarah Banet‑Weiser – Empowered: Popular Feminism and Popular Misogyny. Relevant for the ideological framing of the creator economy and “empowerment” narratives around OnlyFans.

IV. Finance Capital, Ownership Structures & Corporate Power

  • Nomi Prins – Collusion: How Central Bankers Rigged the World: For understanding the broader context of financialisation and the rise of opaque ownership structures.
  • Brett Christophers – Rentier Capitalism: The argument that platforms extract rent from human behaviour rather than producing anything themselves.
  • Grace Blakeley – Stolen: How to Save the World from Financialisation. A clear account of how private equity and offshore finance shape contemporary industries—including porn.
  • Quinn Slobodian – Crack-Up Capitalism: On the proliferation of zones, havens and extraterritorial corporate structures like those used by MindGeek.

V. State Surveillance, Censorship & “Online Safety” Regimes

  • David Lyon – Surveillance Society: Foundational text on the political logic of mass monitoring.
  • Cory Doctorow – The Shakedown (2024): On regulatory capture, platform monopolies and the dangers of state‑mandated identification systems.
  • Ben Tarnoff – Internet for the People: A socialist argument for public ownership of digital infrastructure—directly aligned with the concluding section.
  • Zeynep Tufekci – Twitter and Tear Gas: On how states weaponise digital platforms to suppress political organisation.

VI. Recommended Articles (for citation in the review)

  • “MindGeek and the Financialisation of Porn” – Wired Investigative reporting on Bergmair and the corporate structure behind Pornhub.
  • “The Creator Economy Is a Trap” – The Atlantic: On precarious labour, monetised identity and the pressures of constant self‑commodification.
  • “Age Verification Laws and the Future of Online Privacy” – Electronic Frontier Foundation. On censorship and surveillance.
  • “Tube Sites and the Theft of Labour” – JSTOR Daily: A concise academic‑style overview of the expropriation model.

Intelligence, Capital, and the Road to World War: The Meaning of David S. Cohen’s Program for the Corporate State

A Programmatic Statement of the American Ruling Class

In September 2026, the Council on Foreign Relations’ flagship journal, Foreign Affairs, published an article whose importance goes beyond the immediate policy debate it seems to address. Its author, David S. Cohen, is more than an academic or minor commentator. He has a career that places him at the heart of the connection between Wall Street, the intelligence community, and the Democratic Party: he was deputy director of the CIA under Barack Obama and Joe Biden, served as Treasury undersecretary for terrorism and financial intelligence, and is now a senior partner at WilmerHale, a leading Washington law firm. Cohen’s background makes it hard to dismiss his words as mere speculation or bureaucratic quirks. Instead, they represent a clear statement from the American ruling class during a serious crisis.[1]

Cohen’s argument is stark and remarkably frank. He advocates that the CIA and NSA should be officially incorporated into the profit-driven activities of American companies. He argues that these intelligence agencies should collect proprietary data overseas and pass it directly to US businesses in key sectors such as semiconductors, AI, aerospace, and weapons production. Essentially, the spy agencies should act as R&D arms of corporate America, providing exclusive intelligence to firms whose success is critical to the strategic competition with China.

This proposal signals a new phase in the decline of American capitalism and the rise of global conflict. It reflects how an imperialist power, facing economic downturn, tries to offset this by deploying its coercive tools—military, intelligence, and financial assets. As the U.S. can no longer sustain leadership through industrial or technological edge, it increasingly depends on its unmatched coercive measures: its military strength, surveillance systems, and dominance over global finance. Cohen’s idea encapsulates this strategic change.

The article’s importance lies not in its novelty but in its honesty. Over many years, the US has used its large surveillance networks to collect intelligence that supports American corporations. The European Parliament exposed the ECHELON network in the late 1990s; it intercepted communications from European companies that competed with US firms. In 2000, ex-CIA Director James Woolsey confirmed that the US monitored European businesses. The 2013 Snowden revelations revealed NSA efforts to target Petrobras, hack Huawei’s servers, and follow trade negotiations. At the time, WSWS noted that NSA actions against Huawei resembled Washington’s accusations that Huawei was spying on the US.

Cohen proposes to openly acknowledge what has long been practised: removing the pretence that intelligence gathering and sharing with private corporations like Boeing, Lockheed Martin, or Nvidia are separate. The supposed distinction was always a fiction. Now, Cohen insists on discarding this illusion. This change signals that the American ruling class is preparing society for the acceptance of intelligence agencies operating on behalf of private corporations, which is a characteristic indicator of imperialist decline.

View this development within the wider context of American capitalism, the evolution of the intelligence sector, and the international crisis of imperialism. Cohen’s suggestion is not an anomaly but a natural outcome of long-standing trends: the merging of finance capital with the state, the militarisation of economic policy, and the adaptation of intelligence agencies into tools for corporate strategy.

The United States faces a world where its economic dominance is diminishing. China has overtaken the US in manufacturing and leads in several industrial sectors, while rapidly advancing technologies vital to military strength. The American elite sees this not as a challenge to address through investment, planning, or social reforms, but as a threat that requires coercion. The “all tools” approach Cohen mentions reflects war-preparation language. The sectors he highlights—semiconductors, AI, aerospace, weapons systems—are exactly those central to the Pentagon’s planning for potential conflict over Taiwan.

Cohen’s proposal signals more than a policy change; it clearly declares intent: intelligence agencies will serve corporate interests directly, and the corporate sector will become part of the war effort. The lines between the state and capitalism, foreign policy and corporate strategy, national security and profit are blurring. To understand the full significance of this shift, we need to consider the historical role of intelligence agencies, the structural crisis facing American capitalism, and the global spread of imperialism. Cohen’s article highlights a deeper process: turning the United States into a war economy and undermining democratic rights both domestically and internationally. In this context, the purpose and risks of Cohen’s proposal become apparent.

The Myth of “Self‑Prohibition”: The Historical Record of US Economic Espionage

Cohen’s central claim — that the United States has nobly refrained from economic espionage — is not merely misleading but demonstrably false. The historical record leaves no room for ambiguity. For decades, the US intelligence apparatus has been systematically deployed to gather proprietary information abroad for the direct benefit of American corporations. This is not an aberration or a matter of isolated incidents; it is a structural feature of US imperialism.

The ECHELON surveillance network, exposed by the European Parliament in the late 1990s, revealed that the US and its Five Eyes partners intercepted communications of European firms competing with American companies for major contracts. US corporations received intelligence gleaned from ECHELON, giving them decisive advantages in international bidding processes. In 2000, former CIA Director James Woolsey openly admitted in the Wall Street Journal that the US spied on European companies, justifying the practice as “levelling the playing field.” His admission was remarkable not for its content — which had long been suspected — but for its brazenness.

The 2013 Snowden revelations provided further irrefutable evidence. The NSA targeted Petrobras, Brazil’s state‑owned oil giant, infiltrated Huawei’s servers, and monitored trade negotiations. These operations were not conducted for abstract “national security” reasons but to secure strategic advantages for American firms and shape global markets in line with US interests. The WSWS documented that the NSA was doing to Huawei precisely what Washington accused Huawei of doing to the United States.

Against this backdrop, Cohen’s claim of a “self‑prohibition” collapses entirely. The distinction between intelligence gathered to “shape policy” and intelligence handed directly to Boeing, Lockheed Martin, or Nvidia was always a fiction — a fig leaf designed to obscure the reality of state‑corporate collusion. Cohen’s proposal removes the fig leaf. It is not a new departure but an open avowal of longstanding practice, now elevated to official doctrine.

ECHELON and the European Parliament’s Investigation

In the late 1990s, the European Parliament launched a formal investigation into the ECHELON network, a global surveillance system operated by the United States and its closest intelligence partners—the United Kingdom, Canada, Australia, and New Zealand—collectively known as the Five Eyes. ECHELON had long been rumoured to exist, but the investigation was the first systematic attempt by a major political body to uncover its scope, purpose, and implications. The inquiry revealed a surveillance apparatus far more expansive than anything Washington or London had publicly acknowledged, with operations extending well beyond traditional national‑security concerns.

The European Parliament’s report concluded that ECHELON was not merely a tool for intercepting diplomatic or military communications. It had been used to monitor the commercial activities of European firms competing with American corporations for major international contracts. The program intercepted, analysed, and—crucially—passed telecommunications data, satellite transmissions, and private corporate communications to US companies. This intelligence gave American firms privileged insight into competitors’ bids, pricing strategies, and technological capabilities, giving them a decisive advantage in securing lucrative deals.

The investigation highlighted several concrete cases. European aerospace companies, for example, repeatedly lost contracts to US rivals under circumstances that raised suspicions long before ECHELON was formally scrutinised. The Parliament’s findings confirmed what many suspected: US intelligence agencies were deployed not simply to protect national security but to advance American corporations’ commercial interests. The line between state power and private profit had blurred to the point of being indistinguishable.

The ECHELON revelations were politically explosive. European governments protested, and the Parliament issued warnings about the implications for sovereignty, privacy, and fair competition. Yet Washington responded with denial and deflection. US officials insisted that any intelligence gathering was aimed at combating corruption—specifically bribery by European firms—rather than securing commercial advantage. This justification was as self‑serving as it was implausible. The notion that the CIA and NSA acted as global anti-corruption watchdogs strained credulity, especially given the documented pattern of intelligence flowing directly to American corporations.

The ECHELON affair exposed a fundamental truth about US intelligence operations: economic espionage was not an aberration but a structural component of American imperial strategy. The United States possessed unparalleled surveillance capabilities, and it used them not only to shape geopolitical outcomes but to tilt the playing field of global capitalism in favour of its own corporations. The intelligence agencies functioned as instruments of state‑corporate power, gathering information that could be weaponised in commercial competition.

This historical record directly contradicts David S. Cohen’s claim that the United States has nobly refrained from economic espionage. The ECHELON investigation demonstrated that such restraint never existed. What Cohen calls a “self‑prohibition” was always a fiction—a rhetorical device designed to obscure the reality of state‑sanctioned corporate espionage. The distinction between intelligence gathered to “shape policy” and intelligence handed directly to American firms was a fig leaf, and ECHELON tore it away.

ECHELON’s significance lies not only in what it revealed about past practices but in what it foreshadowed. By the end of the 20th century, the fusion of state surveillance and corporate interests was already well advanced. Cohen’s proposal in Foreign Affairs does not mark a new departure but formalises a long‑standing reality. The intelligence agencies have been serving corporate America for decades; Cohen merely demands that this relationship be openly acknowledged and institutionalised.

James Woolsey’s Admission

In 2000, former CIA Director James Woolsey published an extraordinary article in the Wall Street Journal in which he openly admitted that the United States routinely spied on European corporations. The admission was not surprising in substance—by that point, allegations of US economic espionage had circulated for years—but its brazenness was striking. Woolsey did not deny the practice, minimise it, or cloak it in diplomatic euphemism. Instead, he justified it outright, presenting US surveillance of foreign firms as both necessary and morally defensible.

Woolsey’s argument rested on a simple claim: European corporations engaged in “bribery,” and therefore the United States was merely “levelling the playing field.” According to Woolsey, American firms were at a disadvantage because they supposedly adhered to higher ethical standards, while their European competitors secured contracts through illicit payments. He insisted the CIA was not stealing commercial secrets to benefit US corporations but exposing corruption abroad. This framing allowed Woolsey to recast economic espionage as a form of global public service—an anti‑corruption crusade rather than a tool of imperialist advantage.

The justification was as self‑serving as it was implausible. The notion that the CIA and NSA were acting as international guardians of business ethics strained credulity, particularly given the long history of US intelligence agencies supporting dictatorships, coups, and covert operations that had nothing to do with moral rectitude. Woolsey’s argument was a classic example of imperialist ideology: the United States presents its own predatory actions as defensive, reluctant, or altruistic, while depicting the behaviour of its rivals as inherently corrupt or illegitimate.

More importantly, Woolsey’s admission confirmed what many already suspected: the US intelligence apparatus was deeply involved in gathering proprietary information for the benefit of American corporations. His article appeared after the European Parliament’s investigation into the ECHELON network revealed that the US and its Five Eyes partners intercepted communications of European firms competing with American companies for major contracts. Woolsey’s intervention was clearly intended to defuse the political fallout by reframing economic espionage as a moral necessity rather than a violation of sovereignty and fair competition.

The brazenness of Woolsey’s argument reflected a deeper truth about US imperialism. By 2000, the fusion of state power and corporate interests was already well advanced. Intelligence agencies did not operate independently of American capitalism; they served it. Woolsey’s article made explicit what had long been implicit: the CIA’s activities were not confined to traditional national‑security concerns but extended directly into the realm of commercial competition.

His admission also exposed the hollowness of the claim—repeated endlessly by US officials—that the United States refrains from economic espionage. Woolsey did not deny the practice; he defended it. The “self‑prohibition” invoked by figures like David S. Cohen two decades later was already a fiction in 2000, and Woolsey’s article demonstrated that the US ruling class had no qualms about discarding it when politically expedient.

Woolsey’s intervention matters not only for its content but also for its timing. It appeared as globalisation accelerated, competition between American and European firms intensified, and the US began to confront the rise of China as a major industrial power. Woolsey’s argument foreshadowed the more aggressive posture the US would adopt in the decades to come, culminating in the open calls—such as Cohen’s—for the intelligence agencies to serve as direct instruments of corporate strategy.

In retrospect, Woolsey’s article marks an early shift: the intelligence apparatus transformed into a tool of economic warfare, deployed not merely to defend US interests but to secure the commercial dominance of American capitalism. It candidly admitted a practice that would soon become central to US geopolitical strategy.

The Snowden Revelations

The Snowden disclosures of 2013 provided some of the most damning and irrefutable evidence of US economic espionage to date. When former NSA contractor Edward Snowden released internal documents detailing the scope and operations of the American surveillance apparatus, the revelations shattered the carefully maintained fiction that US intelligence agencies confined themselves to “national security” concerns. Instead, the documents exposed a sprawling global surveillance system that targeted not only foreign governments and military organisations but also major corporations, trade negotiators, and industrial sectors central to other countries’ economic development.

One of the most striking examples was the NSA’s targeting of Petrobras, Brazil’s state‑owned oil company. Petrobras was not a terrorist organisation, a military threat, or a conduit for espionage. It was a commercial entity whose strategic importance lay in its control over Brazil’s vast offshore oil reserves. The NSA’s surveillance of Petrobras had no conceivable “security” justification. It was economic espionage in its purest form: stealing proprietary information from a foreign corporation to benefit US strategic and commercial interests. The operation demonstrated that the intelligence agencies were prepared to deploy their most sophisticated tools against any entity whose activities intersected with American geopolitical or economic objectives.

Even more politically explosive was the revelation that the NSA had infiltrated Huawei’s servers, the Chinese telecommunications giant. At the time, Washington was waging a propaganda campaign accusing Huawei of acting as an arm of the Chinese state, stealing intellectual property, and embedding “backdoors” in its equipment to facilitate espionage. Yet Snowden’s documents showed that the NSA was doing precisely what the US government claimed Huawei was doing: penetrating the company’s internal networks, accessing its communications, and gathering intelligence on its technological development. The hypocrisy was staggering. The WSWS documented extensively that the NSA’s operations against Huawei mirrored, almost exactly, the accusations levelled against the Chinese firm.

The Snowden files also revealed that the NSA monitored international trade negotiations, including communications between diplomats and economic ministries. These operations were not aimed at preventing terrorism or safeguarding national security. They were designed to give the United States an advantage in shaping global trade rules, securing favourable terms, and undermining other countries’ negotiating positions. In other words, the intelligence agencies were directly intervening in the global economic order on behalf of American capitalism.

Taken together, these revelations demolished the claim—repeated endlessly by US officials—that the United States refrains from economic espionage. The NSA’s targeting of Petrobras, Huawei, and trade negotiators showed that economic intelligence gathering was not an aberration but a core function of the surveillance apparatus. The distinction between “policy‑shaping intelligence” and intelligence used to benefit American corporations proved to be a fiction.

The Snowden disclosures therefore provide essential context for understanding David S. Cohen’s proposal. What Cohen advocates openly today—the formal integration of the intelligence agencies into the profit‑making operations of US corporations—was already being practised covertly a decade earlier. Snowden revealed the reality; Cohen now demands its official codification.

The Fig Leaf of “Policy‑Shaping Intelligence”

The supposed “self‑prohibition” was never more than a paper distinction—a bureaucratic fiction designed to obscure how the American intelligence apparatus has long operated. For decades, US officials have insisted that while the CIA and NSA gather information relevant to “policy formation,” they refrain from passing proprietary intelligence directly to American corporations. This claim has always been untenable. The boundary between “policy‑shaping intelligence” and intelligence used to benefit Boeing, Lockheed Martin, or Nvidia was so porous it was practically nonexistent. The distinction served a political purpose: it allowed Washington to maintain the pretence that its surveillance apparatus was guided by national‑security imperatives rather than the commercial interests of American capitalism.

Cohen now proposes to remove the fig leaf entirely. In Foreign Affairs, he argues not that the United States should begin engaging in economic espionage, but that it should openly acknowledge and formalise what it has long practised. He insists that intelligence agencies must be integrated directly into the profit‑making operations of US corporations, supplying them with proprietary information gathered abroad. In effect, Cohen demands that the CIA and NSA become institutionalised components of corporate strategy — research‑and‑development arms of firms deemed essential to the geopolitical struggle against China.

This is not a departure from past practice but the open avowal of it. The ECHELON revelations, Woolsey’s admissions, and the Snowden disclosures all showed that the US intelligence apparatus has long been used to secure commercial advantages for American firms. What is new is a senior figure in the intelligence establishment’s willingness to declare this openly, in the pages of the ruling class’s most authoritative journal. Cohen’s proposal signals that the American elite no longer feels compelled to disguise the fusion of state surveillance and corporate profit. The ideological cover is being discarded.

The significance lies in the public declaration. When a former deputy CIA director calls for the intelligence agencies to serve openly as instruments of corporate America, it indicates a shift in the political climate. The American ruling class is preparing the population for the normalisation of intelligence‑agency operations on behalf of private corporations — a hallmark of imperialist decay. In periods of capitalist crisis, the separation between state and capital collapses. The state’s coercive apparatus is mobilised directly to secure monopoly capital’s interests, and the ideological justifications that once masked this relationship fall away.

Cohen’s proposal must therefore be understood as part of a broader transformation: the militarisation of economic policy, the integration of corporate America into the machinery of war, and the erosion of democratic norms. The intelligence agencies, once nominally confined to foreign threats, are being repurposed as instruments of economic warfare. Their operations will increasingly target not only foreign competitors but domestic dissent, labour struggles, and any activity deemed inimical to the interests of “strategic” corporations.

The removal of the fig leaf marks a new stage in the crisis of American capitalism — one in which the ruling class prepares for war abroad and repression at home, and seeks to legitimise both through the language of national security.

The Fusion of Finance Capital and the State: Lenin’s Framework

Cohen’s proposal must be understood within the framework Lenin developed in Imperialism, the Highest Stage of Capitalism. Lenin’s analysis remains indispensable because it identifies capitalism’s structural tendencies at its highest stage—tendencies that do not depend on political leaders’ subjective intentions but arise organically from the concentration of capital, the domination of finance, and the global struggle for markets. In the epoch of imperialism, Lenin wrote, the fusion of finance capital with the state apparatus becomes the defining feature of economic and political life. The state ceases to function as an arbiter between competing social interests and instead becomes the direct instrument of monopoly capital. Conversely, monopoly capital becomes inseparable from the state, relying on its coercive powers—military, diplomatic, and intelligence—to secure markets, suppress rivals, and maintain profitability.

This process has reached a new stage in the United States. The integration of intelligence agencies into American corporate operations is not an aberration but the logical expression of the fusion Lenin described. The CIA and NSA, once nominally confined to foreign policy and national security, are now being openly repurposed as instruments of corporate strategy. Cohen’s proposal does not introduce a new relationship between state and capital; it merely codifies and legitimises one that has been developing for decades.

The transformation of the US state into the executive committee of finance capital is visible across every domain of policy. The Pentagon’s partnerships with Silicon Valley, the CHIPS Act’s subsidies for semiconductor firms, and the Treasury Department’s weaponisation of financial sanctions all show how the machinery of the state has been mobilised to secure American corporations’ interests. The intelligence agencies are the final component of this apparatus to be openly integrated into the corporate sphere. Their vast surveillance capabilities, once justified in the name of national security, are now being redirected toward the commercial battlefield.

Lenin emphasised that imperialism is characterised by monopoly dominance and the export of capital. In the contemporary United States, these monopolies are concentrated in sectors such as semiconductors, artificial intelligence, aerospace, and weapons manufacturing—the very industries Cohen identifies as “strategic.” These firms do not compete on market forces alone; they depend on state intervention, subsidies, and coercive power. Cohen’s proposal reflects the reality that American capitalism can no longer maintain global dominance through economic means alone. Its industrial base has eroded, its share of global manufacturing has declined, and China increasingly challenges its technological supremacy.

In this context, the fusion of state and capital intensifies. The intelligence agencies become instruments of economic warfare, gathering proprietary information abroad and delivering it directly to American firms. The state mobilises its coercive apparatus to compensate for the decline of US industrial competitiveness. Cohen’s proposal therefore marks a new stage in imperialist decay: intelligence operations become tools of corporate profit, and the boundary between state power and private capital erodes.

State Capitalism and the Strategic Industries

The Trump administration’s equity stakes in Intel and other “strategic” firms, the Biden administration’s CHIPS Act subsidies, and the Pentagon’s increasingly direct contracting with Silicon Valley have already created a form of state capitalism in the United States. These developments show that the fusion of state power and monopoly capital—which Lenin identified as the hallmark of imperialism—is not an abstract theoretical tendency but an active, accelerating process. The American state is no longer merely regulating or supporting private industry; it is becoming structurally intertwined with it. Cohen’s proposal would complete this fusion by integrating the intelligence agencies themselves into the corporate profit‑making process.

The CIA and NSA would no longer function, even nominally, as institutions concerned with foreign policy or national security. They would become instruments of corporate strategy, deployed to secure the commercial dominance of American firms in sectors deemed essential for geopolitical supremacy. Cohen’s vision is explicit: the intelligence agencies should identify vulnerabilities in foreign competitors, map supply chains for sanctions and sabotage, steal proprietary research, and provide privileged intelligence directly to US corporations. These are not hypothetical tasks; they are the operational functions of an intelligence apparatus repurposed for economic warfare.

This is not “industrial policy.” Industrial policy implies state planning, investment, and coordination to strengthen national productive capacity. Cohen’s proposal is something qualitatively different: the militarisation of the entire economy. It represents the state’s transformation into the executive committee of finance capital in its most literal form. The intelligence agencies—historically instruments of covert intervention, coups, and geopolitical manipulation—would now be openly tasked with securing the profitability of American corporations.

The implications are profound. First, the distinction between civilian and military sectors collapses. Semiconductor firms, AI companies, aerospace manufacturers, and weapons contractors become extensions of the national‑security state. Their commercial success becomes a matter of national survival, and their interests become indistinguishable from those of the Pentagon and intelligence agencies. This fusion ensures that any challenge to these corporations—whether from foreign competitors or domestic labour struggles—will be treated as a threat to national security.

Second, the intelligence agencies gain a new mandate: not merely to gather information but to shape global economic outcomes. Mapping supply chains for sabotage, identifying choke points for sanctions, and stealing proprietary research are acts of economic warfare. They undermine rival nations’ industrial development, particularly China’s. Cohen’s proposal therefore signals an escalation in the global struggle for technological supremacy, one that will intensify geopolitical tensions and accelerate the drive toward conflict.

Third, integrating intelligence agencies into corporate strategy will deepen domestic repression. Once the CIA and NSA are formally tasked with protecting the profitability of “strategic” firms, any domestic activity that threatens those profits—strikes, protests, whistleblowing—can be construed as a national‑security issue. The militarisation of the economy inevitably militarises labour relations.

Cohen’s proposal thus marks a new stage in imperialist decay: the open transformation of the intelligence apparatus into a tool of corporate profit, and the corresponding erosion of democratic norms. It is a declaration that the American ruling class intends to wage economic war abroad and suppress opposition at home, using the full coercive power of the state.

The Role of the Intelligence Apparatus

The intelligence agencies have always served the interests of the American ruling class. From their inception, their primary function has not been to defend “national security” in any abstract or neutral sense, but to protect the global interests of American capitalism. The historical record is unequivocal. The CIA’s overthrow of the Mossadegh government in Iran in 1953 was carried out at the behest of Anglo‑American oil interests. The 1954 coup in Guatemala was orchestrated to protect the United Fruit Company’s holdings. US corporations and banks drove the 1973 overthrow of Salvador Allende in Chile to prevent the nationalisation of key industries. Across Latin America, Africa, and Asia, the CIA supported dictatorships, death squads, and military juntas whose primary function was to guarantee favourable conditions for American investment and suppress movements that threatened capitalist property relations.

These operations were not aberrations or excesses. They were the normal functioning of an intelligence apparatus designed to enforce American capital’s global hegemony. The CIA acted as the covert arm of US corporate power, eliminating governments that interfered with profit extraction and installing regimes that opened their economies to American firms. The agency’s activities were inseparable from the interests of Wall Street, the major banks, and the multinational corporations that dominated the post‑war world economy.

Cohen’s proposal does not introduce a new relationship between the intelligence agencies and corporate America. It simply formalises and modernises a relationship that has existed for decades. What was once carried out covertly—coups, sabotage, surveillance, and political manipulation—would now be openly integrated into the commercial strategies of American corporations. The intelligence apparatus becomes the direct servant of corporate America, gathering proprietary information abroad and delivering it to US firms in sectors deemed essential for geopolitical supremacy.

This marks the fusion of state and capital in its most advanced form. The CIA and NSA, historically instruments of covert intervention, would now be openly tasked with securing the profitability of American corporations. Their operations would no longer be justified through the language of national security but through the imperatives of global competition. Intelligence agencies would become tools of economic warfare, deployed to undermine foreign competitors, secure technological dominance, and shape global markets in favour of American firms.

The implications are profound. The militarisation of economic policy collapses the boundaries between foreign policy, corporate strategy, and intelligence operations. The state’s coercive apparatus is mobilised directly to secure monopoly capital’s interests. The intelligence agencies become instruments not merely of geopolitical intervention but of commercial domination. Cohen’s proposal therefore marks a new stage in imperialist decay: the intelligence apparatus’s open transformation into a tool of corporate profit, and the corresponding erosion of any remaining boundary between state power and private capital.

The Logic of Decline: American Capitalism in Crisis

Cohen’s proposal stems from the protracted decline of American capitalism. The United States can no longer compete with China on industrial production. Its share of global manufacturing has fallen precipitously, accelerating since the 1990s. Entire sectors of American industry—electronics, machine tools, shipbuilding, rare‑earth processing—have been hollowed out. Infrastructure that once symbolised US industrial might is now visibly decaying: bridges collapsing, water systems failing, rail networks antiquated. The political system, paralysed by factional conflict and dominated by oligarchic interests, cannot address any of these crises. The ruling class faces a world where its economic foundations are eroding, and its global dominance is increasingly challenged.

Unable to maintain its position through economic means, the United States increasingly relies on its remaining advantages: military power, intelligence capabilities, and financial coercion. These instruments—war, surveillance, sanctions—are the tools of an imperialist power in decline. They compensate for lost industrial supremacy by pressuring rivals geopolitically and enforcing compliance through force rather than economic strength. Cohen’s proposal must be understood as part of this broader shift: the mobilisation of the intelligence apparatus as a direct instrument of economic warfare.

Cohen’s “all tools” doctrine is the language of war preparation. It is not the rhetoric of industrial policy or economic planning, but of a ruling class preparing to confront a major rival. The sectors he identifies—semiconductors, artificial intelligence, aerospace, weapons systems—are precisely those central to the Pentagon’s planning for a conflict over Taiwan. These industries are not merely commercially significant; they are militarily decisive. Control over advanced chips, AI‑driven targeting systems, hypersonic technologies, and aerospace manufacturing will determine the outcome of any future conflict between the United States and China.

Under Cohen’s proposal, intelligence agencies would not merely gather information. They would shape the battlefield. Their operations would include mapping Chinese supply chains for sabotage, identifying technological bottlenecks for sanctions, infiltrating research institutions, and stealing proprietary data from foreign competitors. These are not defensive measures; they are offensive preparations for war. The intelligence apparatus becomes an extension of the Pentagon’s strategic planning, integrated directly into the economic and technological dimensions of military conflict.

The “all tools” doctrine reflects a fundamental transformation in US strategy. Economic competition is no longer seen as separate from military confrontation; it is treated as a component of it. The sectors Cohen highlights are already deeply intertwined with the national‑security state. Semiconductor firms receive billions in subsidies under the CHIPS Act. AI companies work directly with the Pentagon on battlefield applications. Aerospace and weapons manufacturers are embedded in the military‑industrial complex. Cohen’s proposal extends this integration to the intelligence agencies, making them active participants in the commercial struggle against China.

This militarisation of economic policy marks a new stage in imperialist decay. It signals that the American ruling class no longer believes it can out‑innovate or out‑produce its rivals. Instead, it seeks to cripple them through coercion, sabotage, and surveillance. The intelligence agencies become instruments of economic warfare, deployed to maintain US dominance in sectors essential for military supremacy.

Cohen’s proposal therefore represents not a technocratic adjustment but a strategic escalation. It declares that the United States is preparing for conflict—and that the intelligence apparatus will be mobilised to shape the economic terrain on which that conflict will be fought.

Integrating the spy apparatus with corporate America is not an isolated policy initiative but part of a broader mobilisation for confrontation with China. The United States is reorganising its entire economic structure around the requirements of geopolitical conflict. This is not simply a matter of subsidies or industrial planning; it is the transformation of the civilian economy into an adjunct of the military‑intelligence complex. The implications are global and catastrophic. A conflict between the United States and China—two nuclear‑armed powers with intertwined economies—would engulf the world and threaten humanity with annihilation.

The militarisation of the economy is already well advanced. The CHIPS Act’s subsidies for semiconductor firms are justified less on economic grounds than on national‑security imperatives. Semiconductor production is treated as a strategic military asset, essential for weapons systems, surveillance technologies, and battlefield communications. The Pentagon’s partnerships with Silicon Valley—once limited to niche projects—have expanded dramatically. Major tech firms now work directly with the Department of Defence on AI‑driven targeting systems, autonomous weapons platforms, and battlefield analytics. Artificial intelligence, once heralded as a transformative civilian technology, is being integrated into weapons systems at every level, from drone swarms to missile guidance.

Military production is expanding across the board. Aerospace firms are receiving unprecedented contracts for hypersonic weapons, next‑generation fighter jets, and missile‑defence systems. The US defence budget continues to grow, absorbing ever larger portions of national resources. In this context, Cohen’s proposal is not a departure but the next logical step: the intelligence agencies become the research‑and‑development arm of American corporations, supplying them with proprietary information gathered abroad and shaping their technological trajectories in line with military requirements.

This militarisation of the economy marks a new stage in imperialist decay. It signals that the American ruling class no longer believes it can maintain global dominance through economic strength or technological innovation alone. Instead, it seeks to weaponise every aspect of national life—industry, finance, technology, and intelligence—in preparation for conflict. The fusion of state and capital becomes total.

For years, Washington’s propaganda against Beijing has centred on allegations of Chinese “intellectual property theft.” These accusations have been used to justify the prosecution of Chinese‑American scientists, the blocklisting of Chinese firms, and an atmosphere of anti‑Chinese McCarthyism. The narrative has been relentless: China steals technology, China infiltrates research institutions, China uses its intelligence services to support commercial enterprises.

Now, in a remarkable display of imperialist cynicism, a senior figure of the US intelligence establishment demands that the United States adopt precisely the methods it denounces—only with formal legal authorisation. Cohen’s proposal is not merely hypocritical; it is revelatory. It exposes the ideological bankruptcy of American imperialism. The United States accuses others of what it does itself—and now seeks to do openly.

The hypocrisy is not incidental. It is the essence of the so‑called “rules‑based order,” a euphemism for the rule of American capital. The “rules” apply only to others. The United States exempts itself from every norm it proclaims. It violates international law with impunity, engages in economic espionage while denouncing it, and weaponises global institutions to enforce its interests.

Cohen’s proposal tears away the remaining pretence. It reveals that the “rules‑based order” is not a system of universal principles but a mechanism for maintaining US hegemony. When the United States can no longer enforce its dominance through economic strength, it resorts to coercion, surveillance, and sabotage. Intelligence agencies become instruments of commercial warfare, deployed to cripple rivals and secure American corporations’ interests.

The Working Class and the Spy State: Repression at Home

The most important implication of Cohen’s proposal concerns the working class. The surveillance apparatus he wants to unleash on foreign corporations is the same one Snowden exposed monitoring the communications of the entire American population. Once intelligence agencies are formally tasked with protecting specific corporations’ profits, the line between “foreign threat” and “domestic threat” disappears. An engineer in Shenzhen and an autoworker in Michigan become equivalent objects of surveillance if both threaten the interests of a “national security” firm.

The militarisation of industry requires militarising labour relations. Strikes, protests, and workplace organising will be treated as threats to national security. The spy apparatus will be turned inward against workers. This is not speculation; it is the logic of authoritarianism under capitalism: War abroad requires repression at home. Economic espionage abroad requires labour discipline at home. The fusion of state and capital requires suppressing democratic rights.

The working class becomes the internal enemy. Any challenge to the profitability of “strategic” corporations—whether through industrial action, whistleblowing, or political dissent—will be met with surveillance, intimidation, and state repression.

Cohen’s proposal therefore marks a new stage in the assault on democratic rights. It signals that the intelligence agencies will be mobilised not only against foreign competitors but against the working class itself. The spy state becomes the guardian of corporate profit, and the struggle for workers’ rights becomes inseparable from the struggle against imperialist war.

The Political Logic of Imperialist Decay and the Task Before the Working Class

No faction of the American political establishment opposes Cohen’s proposal. On the contrary, the ruling class’s unanimity in integrating intelligence agencies into corporate strategy is itself a symptom of the depth of the crisis confronting American capitalism. Democrats and Republicans differ only in tactics, rhetoric, and the constituencies they appeal to. On the fundamental question—the mobilisation of the coercive apparatus of the state in defence of American corporate interests—they are united. The intelligence agencies, the Pentagon, Silicon Valley, and Wall Street form a single, interlocking complex whose interests are inseparable. Cohen’s proposal is not controversial within this milieu; it is the logical extension of policies already underway.

The drive toward war is not the product of individual leaders or misguided policies. It stems from the contradictions of the capitalist system itself. Imperialism is not a choice but a necessity for a ruling class confronting economic decline. When profitability cannot be maintained through productive investment, technological innovation, or market expansion, it turns to coercion, sanctions, sabotage, and war. The militarisation of the economy, the fusion of state and capital, and the mobilisation of the intelligence apparatus for corporate profit are not aberrations but structural tendencies of capitalism in decay.

The United States confronts a world in which its economic foundations are eroding. China’s rise as an industrial power threatens the global dominance American capitalism has exercised since the end of the Second World War. The ruling class responds not by addressing the social and economic contradictions that have hollowed out the US economy, but by preparing for conflict. Cohen’s proposal is another step in this trajectory: transforming intelligence agencies into instruments of economic warfare, deployed to secure technological supremacy and cripple rivals.

Against this backdrop, the international working class becomes decisive. Only a working class organised across national boundaries and united on a socialist program can halt this trajectory. Not the “progressive” wing of the Democratic Party, which is fully integrated into the national‑security state. Not European social democracy, which long ago abandoned any pretence of opposition to imperialism. Not Chinese nationalism, which represents the interests of a rising capitalist elite. The working class alone has no stake in imperialist rivalry and every interest in preventing a catastrophic conflict between nuclear‑armed powers.

The fight against war is inseparable from the fight against capitalism. The struggle against the militarisation of society, the fusion of state and capital, and the assault on democratic rights requires building revolutionary leadership in the working class. The intelligence agencies Cohen wants to unleash on foreign corporations will inevitably turn inward against workers. The state will treat strikes, protests, and workplace organising as threats to national security. The working class becomes the internal enemy of a state fused with corporate power.

This is not speculation; it is the logic of authoritarianism under capitalism. War abroad requires repression at home. Economic espionage abroad requires labour discipline at home. The fusion of state and capital requires suppressing democratic rights. The working class must respond with its own form of international unity, grounded not in nationalism but in socialist internationalism.

Articles and Bibliography

I. Foundational Marxist and Theoretical Works

  • V.I. Lenin, Imperialism: The Highest Stage of Capitalism. Lenin’s analysis of monopoly capital, finance capital, and the fusion of the capitalist state with corporate interests provides the essential theoretical framework for understanding Cohen’s proposal. His identification of imperialism as a structural necessity of capitalism in decline is directly relevant to the militarisation of the US economy and intelligence apparatus.
  • Leon Trotsky, The War and the International. Trotsky’s early writings on the relationship between capitalist crisis, militarism, and imperialist war illuminate the contemporary drive toward conflict with China.
  • David North, The Crisis of American Democracy: North’s analysis of the breakdown of democratic institutions in the United States and the rise of authoritarian tendencies provides context for the domestic implications of intelligence‑corporate fusion.
  • Nick Beams, “Globalisation and the World Economy” (WSWS): Beams’ work on the contradictions of global capitalism and the decline of US economic hegemony helps situate Cohen’s proposal within the broader crisis of American capitalism.

II. US Intelligence Operations and Economic Espionage

ECHELON and Five Eyes Surveillance

  • European Parliament, “Report on the Existence of a Global System for the Interception of Private and Commercial Communications (ECHELON)” (1999–2001). The official investigation concluded that ECHELON intercepted commercial communications from European firms and passed intelligence to US corporations, confirming long‑suspected economic espionage.
  • Duncan Campbell, “Inside ECHELON” (2000) Campbell’s investigative reporting provides detailed technical and political analysis of ECHELON’s capabilities and its use in commercial competition.

James Woolsey’s Admission

  • James Woolsey, Wall Street Journal Op‑Ed (2000): Woolsey openly admitted that the US spies on European corporations, justifying the practice as anti‑corruption. His article is significant for its brazenness and for confirming longstanding US economic espionage.

Snowden Revelations

  • Glenn Greenwald, The Guardian (2013): Reporting based on Snowden’s documents revealed NSA surveillance of Petrobras, Huawei, and international trade negotiations.
  • Laura Poitras, “NSA Targets Petrobras” (2013): Poitras’ reporting showed that the NSA targeted Brazil’s state‑owned oil company, demonstrating economic motives behind surveillance.
  • WSWS Coverage (2013–2014): The WSWS documented that the NSA was doing to Huawei precisely what Washington accused Huawei of doing, exposing the hypocrisy of US claims.

III. US Industrial Policy, Militarisation, and State Capitalism

  • CHIPS and Science Act (2022): The legislation provides massive subsidies to semiconductor firms, justified on national‑security grounds. It marks a shift toward state‑directed industrial policy in strategic sectors.
  • Department of Defence, “AI and Autonomy Integration Reports” (2020–2024): Pentagon documents outline the integration of AI into weapons systems and partnerships with Silicon Valley firms.
  • Congressional Research Service, “Defence Industrial Base: Overview and Issues” (2023): Analysis of the expanding role of military production in the US economy.
  • WSWS: “The Militarisation of American Industry” (multiple articles) Coverage of the Pentagon’s growing influence over technology firms and the transformation of civilian industries into military contractors.

IV. US–China Conflict and Technological Rivalry

  • Foreign Affairs, David S. Cohen, “The Case for Economic Intelligence” (2024): Cohen’s article argues for integrating the CIA and NSA into corporate strategy, openly advocating economic espionage as a tool of geopolitical competition.
  • Council on Foreign Relations Reports on US–China Technological Competition (2020–2024): CFR analyses emphasise semiconductors, AI, and aerospace as decisive sectors in the conflict with China.
  • RAND Corporation, “War with China: Military and Industrial Scenarios” (2015–2023): RAND studies outline the centrality of technological supremacy in potential conflict scenarios over Taiwan.

V. Surveillance, Authoritarianism, and Domestic Repression

  • Edward Snowden, Permanent Record (2019): Snowden’s memoir contextualises the NSA’s mass surveillance programs and their implications for democratic rights.
  • ACLU Reports on NSA Surveillance (2013–2024): Documentation of domestic surveillance programs targeting workers, activists, and political dissent.
  • WSWS: “The Spy State and the Working Class” (multiple articles): Analysis of how surveillance tools developed for foreign intelligence are repurposed for domestic repression.

VI. Additional Scholarly and Investigative Sources

  • Tim Shorrock, Spies for Hire: The Secret World of Intelligence Outsourcing (2008). A detailed study of the outsourcing of intelligence functions to private corporations and the emergence of a corporate‑intelligence complex.
  • Alfred McCoy, In the Shadows of the American Century (2017): McCoy examines the decline of US global power and the increasing reliance on surveillance and coercion.
  • Chalmers Johnson, The Sorrows of Empire (2004): Johnson’s analysis of militarism and imperial overstretch provides historical context for the militarisation of the US economy.

[1] https://www.foreignaffairs.com/united-states/case-

Destroy AI? Luddism Dressed as Socialism

Tribune’s recent call to “destroy” artificial intelligence reveals a concerning trend. It reflects growing pessimism among parts of the modern left, which views technological progress not as a tool for human emancipation but as a threat to be feared, opposed, and ultimately eliminated. Although Matthew Cole’s article employs radical language, it ultimately channels valid concerns into a reactionary dead end. It highlights genuine social and environmental issues like the carbon emissions from data centres, the extraction of minerals in the Global South, the concentration of computation in American monopolies, and the British government’s tendency to give land and water to tech oligarchs. It blames not the capitalist elite responsible, but the productive forces themselves.[1]

This is not socialism; it is despair- a despair that Marx examined over 150 years ago. In Capital, Marx scrutinised the Luddite movement and emphasised a key point: workers should distinguish between machinery itself and how capital uses it. Machines are not inherently neutral or oppressive; they become tools of exploitation only if controlled by capital. Cole reverses this, viewing AI as inherently destructive, as if the technology alone causes social problems rather than the capitalist system governing its development and application. This mistake leads him to connect struggles from the Luddites to the Writers Guild of America, implying machine-breaking and modern trade unionism share the same strategy. They do not. The Luddites were defeated, but the machines remained. What improved workers’ conditions was not smashing the looms, but the rise of organised labour capable of negotiating over the wealth these machines created. To revive Luddism is to reject the very history that gave birth to the socialist movement.

Cole’s claim that AI differs from railways, electrification, or industrialisation because it offers no tangible benefit is simply inaccurate. Historically, major infrastructure projects under capitalism have involved bloodshed: railways were built through colonial conquest, with slave-grown cotton, and during famines in India. Electrification benefited monopolies and increased factory exploitation. Industrialisation destroyed artisanal trades and displaced communities. However, the socialist movement never called for dismantling railways or banning electricity; instead, it aimed to socialise these systems. The true enemy is capitalism, not the productive forces.

Cole’s dismissal of AI’s usefulness overlooks the facts. Even within capitalism, machine learning is already employed in protein structure prediction, medical diagnostics, weather forecasts, climate models, materials science, and drug development- significant applications that represent technological progress with substantial benefits for humanity. However, these are often used for profit, surveillance, or military purposes. In a socialist system, such technologies could reduce working hours, eliminate monotonous labour, and enable more rational production planning. The real contradiction isn’t the technology itself but private ownership of the means of production and the existence of competing nation-states.

Cole’s evidentiary claims fall apart under close examination. He references a small MIT preprint to argue that AI is “retarding our brains,” but this study, with only 54 participants, cannot support broad civilizational claims. He also blames AI for falling OECD PISA scores, even though the tests were conducted before ChatGPT was available. The OECD links the score decline to pandemic-related school closures, a consequence of the ruling class’s negligent response to COVID-19, which kept workers employed while children lost years of education. His claims about carbon emissions are inconsistent: he states that the “global data cloud” emits more carbon than aviation but cites figures far below aviation’s actual footprint. While data centres do contribute to environmental harm, addressing this issue requires careful analysis rather than rhetorical exaggeration.

When Cole discusses strategy, his political class character becomes evident. He endorses anarchist sabotage, such as arson attacks on Tesla facilities and tactics like data poisoning and misinformation traps. Historically, the Marxist movement opposes such reckless actions, as they replace mass struggle with individual acts, risk provoking state repression, and leave ownership structures unchallenged. These acts also demonstrate disdain for the working class. Cole then suggests a state-led approach to dismantle data infrastructure, but given that the Labour government is influenced by finance capital and U.S. tech giants, expecting it to dismantle its own infrastructure is unrealistic. His notion of “digital sovereignty” overlooks the global nature of technology resources, from Brazil and Colombia to Kazakhstan and Taiwan’s manufacturing. No single nation can “decompute” a worldwide system; only the international working class can seize control of these productive forces.

Workers involved in building data centres, mining cobalt, labelling training data, assembling GPUs, and dismantling e-waste are not foes of technology; they are its creators. The socialist vision is not about destroying, but about expropriating: bringing tech giants like OpenAI, Anthropic, Amazon, Microsoft, and Palantir under public ownership and democratic workers’ control. Only through this can decisions about energy, water, land, and automation serve social needs instead of private profits. Like previous technological leaps, the potential of AI must be freed from capitalist ownership, not destroyed.

Cole’s article highlights a common pattern among the academic middle class: blaming social problems on productive forces instead of capitalist relations. It offers workers nostalgia instead of actionable strategies, advocates sabotage over organisation, and induces moral panic rather than critical analysis. This approach is not socialism; it is a retreat. It adopts a politics that attributes alienation to the machine rather than to the capitalist owner. Moreover, it fears the future instead of trying to control it.

The reality is that artificial intelligence, much like previous major technological advances, embodies a contradictory force. In a capitalist system, it often amplifies exploitation, reduces jobs, and supports warfare. Conversely, in a socialist framework, it can shorten working hours, remove monotonous tasks, and enhance human freedom. The core contradiction does not lie in the technology itself but in the social relationships that regulate its use. To eliminate AI is also to eliminate the chance of using it as a tool for human emancipation.

The socialist movement has consistently believed that the productive forces developed under capitalism, such as railways, electricity, industrial machinery, and computing, should be seized rather than destroyed. The goal is to advance modernity, not retreat from it. The working class must take control of these technologies to build a society centred on human needs rather than private profit. Cole’s call to “destroy AI” is therefore not a radical departure from capitalism but a surrender to it. It adopts the capitalist view that technology is inherently oppressive and that workers are powerless against it. It provides no plan for workers, no strategy for expropriation, and no vision of a socialist future. It only spreads fear.

WSWS Articles on Artificial Intelligence (AI)

A curated list with summaries

1. “The class issues in artificial intelligence”

A foundational WSWS analysis arguing that AI is not an autonomous threat but a product of capitalist social relations. It emphasises that the danger lies in private ownership, militarisation, and exploitation — not in the technology itself.

2. “Artificial intelligence and the future of work”

Examines how corporations use automation and machine learning to intensify exploitation, cut jobs, and suppress wages. Argues that AI could shorten the working day under socialism but is weaponised under capitalism.

3. “The militarisation of AI: US imperialism’s new frontier”

Discusses Pentagon and NATO investment in autonomous weapons, battlefield analytics, and surveillance systems. Frames AI as a central component of the drive toward world war.

4. “Tech layoffs and the restructuring of the global workforce”

Analyses mass layoffs at Google, Amazon, Meta, and Microsoft, linking them to automation, shareholder pressure, and the broader crisis of capitalism.

5. “The environmental cost of data centres: capitalism’s irrationality”

Explores water usage, energy consumption, and land grabs associated with hyperscale data centres. Argues that these problems stem from anarchic capitalist competition, not from computing itself.

6. “AI, surveillance, and the police state”

Covers the use of machine learning in predictive policing, biometric surveillance, and border control. Shows how governments deploy AI to suppress dissent and monitor populations.

7. “The Writers Guild strike and the question of AI”

Analyses Hollywood’s labour struggle, arguing that the WGA’s concerns about AI reflect broader contradictions between creative labour and corporate control of technology.

8. “ChatGPT and the crisis of bourgeois ideology”

A theoretical piece exploring how large language models expose the intellectual bankruptcy of academia and the media, while also revealing the enormous potential of automated knowledge systems.

9. “The global semiconductor supply chain and the drive to war”

Examines TSMC, Nvidia, ASML, and US–China rivalry. Shows how AI hardware is inseparable from imperialist conflict.

10. “Artificial intelligence and education: A capitalist catastrophe”

Discusses the use of AI in schools, testing regimes, and ed‑tech platforms. Argues that the crisis in education stems from austerity and privatisation, not from AI tools.

11. “The myth of ‘ethical AI’: Capitalism cannot be regulated”

Critiques liberal calls for AI regulation, arguing that no ethical framework can restrain profit-driven corporations or imperialist states.

12. “Automation, productivity, and the socialist reorganisation of society”

A programmatic article explaining how AI and robotics could eliminate drudgery, shorten the working day, and enable planned production — but only under workers’ control.


[1] https://tribunemag.co.uk/2026/09/destroy-ai

From the Far Side of the Moon to the $1,199 Checkout: Apple Sells the Heavens Back to the Working Class.

In April, when the Orion capsule orbited the far side of the Moon, humanity experienced a remarkable milestone in science and technology. For the first time in over fifty years, humans personally saw Earth rise above the lunar horizon. The Artemis II astronauts reached for a device to capture this historic moment not a specialised tool or custom aerospace equipment, but a consumer device: the iPhone 17 Pro Max.

NASA’s choice to include the device on Orion was deliberate. It involved a thorough, multistep safety review: turning off all radios, studying glass-shatter physics, testing the titanium frame in a vacuum, and confirming the phone wouldn’t interfere with navigation systems. The device was simplified to just recording images and securely placed inside the astronauts’ suits. Its use remained strictly controlled.

The images of Earth with auroras at both poles, the stark lunar far side, and astronauts seen through Orion’s cabin windows reflect decades of scientific progress and the work of thousands of engineers, technicians, and workers across continents. They represent a collective societal achievement. Within days, Apple’s leadership seized the opportunity. Then CEO Tim Cook and marketing chief Greg Joswiak posted congratulatory messages on social media, turning a scientific milestone into a branding opportunity. Apple repurposed the iconic Earthrise images over the Moon for the “Shot on iPhone” campaign. Apple transformed what was originally a testament to human collaborative effort into a marketing tool.

Five months later, the reason for this excitement became evident. On September 9, 2026, Apple introduced the iPhone 18 Pro and iPhone 18 Pro Max. As expected, the main highlight was the camera. Apple showcased a new 48MP main sensor with a variable aperture, along with the A20 Pro chip and a vapour chamber cooling system that it claimed delivered the highest sustained performance ever in an iPhone. Prices increased accordingly: the iPhone 18 Pro now starts at $1,199, marking a $100 rise from the previous year. Bloomberg reported that the foldable version would surpass $2,000.

The comparison reveals an important insight. A device built through global labour exploitation marks humanity’s return to the Moon. A highly profitable corporation then claims the rights to these images. Several months later, it sells a newer version of the same device to the working class at an even higher cost. Both the Moon, the Earth, and scientific progress are turned into commodities to be bought and sold.

The Commodification of Scientific Achievement

The Artemis II mission is a true testament to human ingenuity, illustrating the combined efforts of scientists, engineers, and workers whose collective labour has enabled humans to return near the Moon. Each part of the Orion spacecraft, along with every line of code, instrument, and sensor, reflects decades of scientific research, social experience, and technical improvements. It stands as a victory not of individual talent or corporate progress but of society’s collaborative effort.

Under capitalism, even the greatest scientific breakthroughs are driven by private profit. When Artemis II orbited behind the Moon, a moment meant for all humanity, a major corporation quickly claimed it. The astronauts reached for a consumer device, the iPhone 17 Pro Max, to record the view. This was not a showcase of Apple’s engineering but a carefully controlled use of a consumer gadget in a scientific mission, after NASA turned off its radios, tested its materials, and limited what it could do.

Apple quickly seized the achievement, with executives flooding social media with congratulatory posts. They turned a major scientific milestone into a market spectacle. The iconic images of Earth rising over the lunar horizon, shaped by decades of scientific effort and thousands of workers, were repurposed as advertising content. What was once human heritage became a marketing tool.

This reflects the core of commodity fetishism. The social labour involved miners extracting rare earth metals under harsh conditions, assembly line workers in China and India working in large factories, and engineers creating sensors and firmware is obscured. Instead, we see the illusion of a self-sufficient technological marvel, attributed to corporate brilliance rather than collective effort. The iPhone appears as a standalone technological wonder, with its capabilities seeming to arise from Apple’s executives’ ingenuity rather than from the work of millions.

Images from Artemis II, taken by workers risking their lives, are used to justify a $1,199 price. The working class is asked to pay increasing prices for products they help create. The same workers who assemble these devices can’t afford them. Millions worldwide face rising living costs, stagnant wages, and shrinking social services, yet they are told the latest gadget made through their own exploited labour is essential for modern life.

The iPhone’s presence on Orion symbolises how capitalism warps scientific progress, turning it from a collective human achievement into a source of profit. The Moon becomes a setting for advertising, with scientists’ and astronauts’ work serving marketing purposes. Private firms commandeer society’s accomplishments and sell them back to workers at high prices. Artemis II shows what humanity can achieve through shared scientific efforts. However, under capitalism, even space becomes a commodity. The Moon landing is exploited for corporate branding, and innovations born from collective labour are used for private wealth. Workers face the stark truth that technologies they develop, such as lunar-based Earth imaging, are owned and monetised by the capitalist elite.

The Global Labour Chain Behind the iPhone

Every iPhone results from a complex, global network of exploited labour. Behind its sleek design, a social process spans continents, connecting miners, factory workers, engineers, and logistics staff in a capitalist production system. The minerals used in its components, such as cobalt, lithium, nickel, copper, and rare earth elements, are mined under brutal conditions in Africa and Latin America. Workers often operate in dangerous environments without proper safety gear, risking exposure to toxic dust, tunnel collapses, and exploitative subcontractors. Child labour remains widespread in parts of the cobalt supply chain. The raw materials of what is called the “most advanced consumer device in history” are tainted with the sweat and blood of some of the world’s poorest populations.

Materials are then shipped to East Asia, where workers produce chips and components under intense supervision and pressure. Semiconductor plants in Taiwan, South Korea, and China operate with military-like discipline. Workers endure long hours, repetitive tasks, and constant oversight. Even minor procedural mistakes can ruin millions of dollars worth of wafers, leading management to enforce strict behavioural rules to maintain productivity. The socalled “miracle” of the Aseries chip, praised by Apple as a symbol of innovation, is actually the result of disciplined labour, years of scientific expertise, and the exploitation of thousands of skilled workers whose efforts often go unnoticed.

Devices are assembled in largescale factories in China, India, and Vietnam, where hundreds of thousands of workers operate continuously. The conditions are severe: crowded dormitories, strict security, long overtime hours, and wages barely enough for basic needs. Workers have repeatedly protested through walkouts, strikes, and uprisings. The 2022 rebellion at Foxconn’s Zhengzhou plant, the world’s largest iPhone factory, highlighted the harsh realities behind Apple’s sleek image. Workers protested unsafe environments, withheld wages, and opposed strict COVID lockdowns. Footage showed clashes with security, workers fleeing on foot, and criticism of management. This uprising uncovered deep social tensions involved in producing Apple’s flagship product.

However, these workers do not benefit directly from the value they generate. Instead, it flows upward to Apple’s shareholders, executives, and investors. Apple boasts trillions of dollars in market value. Its executives earn multimillion-dollar compensation packages. Shareholders receive large dividends. The company retains substantial cash reserves, conducts extensive stock buybacks, and earns rental income through its App Store and subscription services. The labour of millions is concentrated into profits for a small elite.

Meanwhile, those who make the devices cannot afford them. Miners who extract cobalt cannot buy an iPhone, nor can assembly workers who solder components or logistics staff who ship devices globally. Even in the US and Britain, millions face rising living costs, stagnant wages, and worsening social services. They are required to pay $1,199 or $2,000 for the foldable version of products created through their own exploited labour.

This core contradiction of capitalism highlights that the working class creates society’s wealth but cannot enjoy its benefits. The iPhone exemplifies this starkly: hailed as a technological achievement, yet its production relies on exploiting workers worldwide. Promoted as a tool to boost creativity, it is, in reality, built on suppressing workers’ rights. While admired for its innovative design, it depends on harsh mineral extraction and the strict labour of factory workers.

Apple’s marketing conceals this reality. The corporation presents the iPhone as a self-contained technological miracle, the product of visionary leadership and corporate genius. Commodity fetishism reaches its highest expression: the social labour embodied in the device is erased, replaced by the illusion of autonomous technological creation. The iPhone appears as a thing with its own inherent value, detached from the labour that produced it.

The working class faces this contradiction firsthand: they produce the device but must give up an increasing part of their wages to buy it. They generate the wealth, yet the capitalist class takes it. The iPhone is more than a consumer product; it symbolises the global exploitation capitalism relies on and highlights the need for a socialist restructuring of production, where workers reap the benefits.

Artemis II and the Militarisation of Space

The Artemis program reflects capitalism’s contradictions. Washington presents it as a strategic rivalry with China, aiming to dominate cislunar space, access lunar resources, and expand military influence beyond Earth orbit. This isn’t solely scientific exploration; it continues imperialist competition into space. The same motives behind tariffs, sanctions, and semiconductor battles fuel the lunar race.

Private contractors build the rockets, capsules, and systems used in Artemis, profiting enormously from government contracts. Boeing, Lockheed Martin, Northrop Grumman, and SpaceX all stand to gain. The scientific labour of thousands is subordinated to corporate profit interests and the geopolitical aims of American imperialism. The iPhone embodies these same relations. It is a consumer device built through exploited labour, marketed through spectacle, and sold at inflated prices. Its presence aboard Artemis II is symbolic: the commodification of scientific achievement, the subordination of exploration to profit, and the transformation of collective labour into private property.

Leadership Change Without Strategic Change

Apple’s new CEO, John Ternus, led the iPhone 18 Pro launch amid typical corporate applause. The tech media noted it as his “first appearance” at the flagship store, implying his personality mattered, though it doesn’t affect the core social and economic forces shaping Apple. In truth, this leadership change changes nothing. Apple’s core focus remains unchanged: maximising profits by commodifying technology, increasing exploitation across its global supply chains, and expanding rent-seeking practices that keep consumers more tightly integrated into its ecosystem.

The corporation’s strategy is shaped not by its executives’ personal preferences but by its nature as a large capitalist enterprise. Apple must prioritise maximising shareholder value, diversifying revenue sources, and boosting profit margins. This necessity is unavoidable, as it stems from the fundamental principles of capitalism, which place all human endeavours scientific, cultural, and technological under the goal of accumulating private wealth.

Apple continues to focus on increasing revenue per device. The starting price of $1,199 for the iPhone 18 Pro reflects a sustained trend, not an anomaly. Each year, Apple tends to raise prices, make repairs more difficult, and restrict features with proprietary hardware. The company’s marketing often portrays each new release as revolutionary, even when updates are minor. This strategy seems aimed more at fostering artificial scarcity and dependency than at genuine innovation. As a result, the working class feels pressured to buy increasingly expensive devices to stay connected and participate in modern society.

In addition to rising hardware prices, Apple has increased its focus on subscription-based revenue. Services like iCloud+, Apple Music, Apple TV+, Apple Arcade, and AppleCare are becoming an increasingly significant part of the company’s income. These subscriptions are not meant to offer essential services but are intended to generate steady, recurring fees that flow from consumers to shareholders. This approach exemplifies rentier capitalism: earning income not from manufacturing or production, but through ownership and control of digital assets.

Apple’s integration of “AI” features aims to enhance its ecosystem. These features are promoted as advances in productivity, creativity, and convenience but primarily serve to generate revenue. AI-driven photo editing, writing tools, and device optimisation are linked to hardware upgrades and subscription plans. Although Apple claims these features represent the future of computing, their main purpose is to justify price hikes and keep users within their closed ecosystem. The narrative of innovation conceals a core economic strategy: turning routine digital activities into a continuous income source.

Apple utilises cultural spectacle to justify rising prices. Its marketing, from “Shot on iPhone” to keynote events, fosters an image of exclusivity and desirability. Featuring an iPhone on Artemis II becomes a marketing tactic, linking the device to scientific and exploratory achievements. The company rebrands collective accomplishments as proof of its technological dominance. This spectacle masks the underlying exploitation in manufacturing and normalises the increasing costs of engaging with Apple’s ecosystem.

What Technology Could Be Under Socialism

The technological capacities on display a pocket-sized device capable of recording the Earth setting behind the Moon demonstrate with striking clarity what humanity can achieve when scientific knowledge accumulates across generations. The iPhone’s ability to function, even in a tightly constrained and safety modified form, aboard a spacecraft orbiting the Moon is not a testament to Apple’s corporate genius but to society’s collective labour. It reflects centuries of scientific inquiry, decades of engineering refinement, and the coordinated labour of tens of thousands of workers across multiple continents. The problem is not the technology itself. It is the social system in which the technology is developed, deployed, and ultimately commodified.

Under a rational, socialist organisation of production, the immense scientific and technical capacities embodied in devices like the iPhone would be liberated from the profit system. Advances in optics, sensors, and computing would be planned democratically to meet human needs, not to maximise quarterly earnings. Space exploration would be international, cooperative, and nonmilitarized, guided by the principle that humanity’s expansion beyond Earth must serve peaceful and scientific purposes. Devices would be designed for durability, accessibility, and universal benefit, not planned obsolescence or rent extraction through subscription services. The fruits of scientific labour would belong to all humanity, not to shareholders. The Moon and the technologies that reach it would be treated as common heritage, not as marketing material for a trillion-dollar corporation.

The contrast is stark. Capitalism turns collective achievement into private property. Socialism would turn private property back into collective achievement. The images taken aboard Artemis II point to what is possible. They show the Earth as a fragile sphere suspended in darkness, a reminder of humanity’s shared fate. They show the Moon as a world that belongs to all people, not to corporations or nations. They show human labour’s capacity to transcend boundaries, overcome immense technical challenges, and reach new horizons. They reveal the potential of a society organised around cooperation rather than competition, around human need rather than private profit.

But under capitalism, even these images are commodified. They become advertisements for a $1,199 device. They become instruments of profit extraction. The scientific achievement of returning human beings to the Moon becomes a backdrop for corporate branding. The labour of astronauts, engineers, and scientists becomes raw material for marketing campaigns. The heavens themselves the Moon, the Earth, the vast expanse of space are transformed into commodities.

The story of the iPhone aboard Artemis II is not a trivial anecdote. It is a microcosm of the entire capitalist system. Corporations appropriate scientific achievement. Collective labour becomes private profit. The working class is asked to purchase the products of its own exploitation. The technologies that enable exploration of the Moon, the devices that capture images of the Earth, and the scientific achievements that expand human knowledge are all subordinated to the profit interests of a tiny minority.

The return to the Moon should be a moment of global unity, a demonstration of humanity’s capacity for cooperation and scientific progress. Instead, it becomes a marketing opportunity for Apple and a geopolitical manoeuvre for American imperialism. Artemis II is framed not as a scientific mission but as part of a strategic competition with China, an extension of great-power rivalry into cislunar space. Private contractors build the rockets, capsules, and systems used in the mission, profiting enormously from government contracts. The scientific labour of thousands is subordinated to corporate profit interests and the geopolitical aims of the American ruling class.

The working class must draw the necessary conclusions. The technologies that enable exploration of the Moon, the devices that capture images of the Earth, and the scientific achievements that expand human knowledge must be liberated from the profit system. They must be placed under democratic, socialist control. Only then can scientific progress serve humanity as a whole rather than the narrow interests of shareholders and imperialist governments.

The Moon belongs to all of humanity. So too should the fruits of the labour that took us there. The images captured aboard Artemis II reveal not only the beauty of the Earth and the Moon but the potential of human labour when freed from the constraints of capitalism. They point toward a future in which scientific achievement is no longer commodified, technology serves human need, and the heavens are explored not for profit or geopolitical advantage but to advance knowledge and enrich human life.

The task before the working class is clear: to overthrow the capitalist system that commodifies the heavens and to build a socialist society in which the full potential of human ingenuity can be realised. Only then will the Moon, the Earth, and the technologies that connect them truly belong to all.

Further Reading

1. Commodity Fetishism & Technology

Fuchs, C. (2014). “Digital Labour and Karl Marx.” Routledge. A foundational text in Marxist digital labour theory. Fuchs analyses how consumer technologies embody hidden labour relations and argues that digital commodities intensify fetishism by obscuring global labour chains.

Graham, M. & Anwar, M. (2019). “The global gig economy: Towards a planetary labour market?” First Monday, 24(4). Explores how digital commodities rely on dispersed labour networks. Useful for framing the iPhone as a planetary commodity.

Mosco, V. (2016). “The Paywall: The Business of Scholarship in the Digital Age.” Digital Journalism, 4(1). Discusses how digital infrastructures become rentextraction mechanisms directly relevant to Apple’s subscription strategy.

2. Global Supply Chains & Electronics Labour

Chan, J. (2013). “A suicide survivor: The life of a Chinese worker.” New Technology, Work and Employment, 28(2). A detailed ethnographic study of Foxconn labour conditions. Essential for grounding your section on the Zhengzhou uprising.

Pun, N. & Chan, J. (2012). “Global Capital, the State, and Chinese Workers: The Foxconn Experience.” Modern China, 38(4). Examines Foxconn’s labour regime, militarised management, and the structural exploitation behind electronics assembly.

Smith, J. (2016). “Imperialism in the Twenty-First Century: Globalisation, SuperExploitation, and Capitalism’s Final Crisis.” Monthly Review Press. Not an article but widely cited in journals; provides the theoretical basis for analysing global labour arbitrage in electronics.

3. Space Exploration, Imperialism & Geopolitics

Siddiqi, A. (2015). “The Red Rocket’s Glare: Spaceflight and the Soviet Imagination.” Cambridge University Press. Shows how space exploration has historically been embedded in state power and geopolitical rivalry.

JohnsonFrey, S. (2020). “Militarisation of Cislunar Space.” Astropolitics, 18(3). Explores how US space policy increasingly frames the Moon as a strategic domain directly relevant to your Artemis II analysis.

Gorman, A. (2009). “The archaeology of space exploration.” Journal of Social Archaeology, 9(1). Argues that space artefacts (including images) become cultural commodities, a perfect academic parallel to your “heavens as commodity” argument.

4. Science & Technology Studies (STS) Perspectives

Winner, L. (1980). “Do Artefacts Have Politics?” Daedalus, 109(1). A classic argument that technologies embody political relations, foundational for your claim that the iPhone reflects capitalist social relations.

Edwards, P. (2010). “A Vast Machine: Computer Models, Climate Data, and the Politics of Knowledge.” MIT Press. Shows how scientific infrastructures are shaped by political economy, useful for framing NASA’s technological systems.

Suchman, L. (2007). “Human-Machine Reconfigurations.” Cambridge University Press. Explores how human labour and machines coproduce meaning, relevant to your analysis of astronauts using consumer devices.

Academic Bibliography

Marxist Theory & Political Economy

  • Marx, K. (1867) Capital: Volume I. Hamburg: Otto Meissner Verlag.
  • Marx, K. (1859) A Contribution to the Critique of Political Economy. Berlin: Franz Duncker.
  • Lenin, V.I. (1916) Imperialism: The Highest Stage of Capitalism. Petrograd: Zhizn i Znanie.
  • Smith, J. (2016) Imperialism in the Twenty-First Century. New York: Monthly Review Press.
  • Fuchs, C. (2014) Digital Labour and Karl Marx. London: Routledge.

Global Labour Chains & Electronics

  • Chan, J. (2013) ‘A suicide survivor: The life of a Chinese worker’, New Technology, Work and Employment, 28(2), pp. 84–96.
  • Pun, N. & Chan, J. (2012) ‘Global Capital, the State, and Chinese Workers: The Foxconn Experience’, Modern China, 38(4), pp. 383–408.
  • Graham, M. & Anwar, M. (2019) ‘The global gig economy: Towards a planetary labour market?’, First Monday, 24(4).

Space Exploration, Imperialism & Geopolitics

  • Siddiqi, A. (2015) The Red Rocket’s Glare. Cambridge: Cambridge University Press.
  • JohnsonFrey, S. (2020) ‘Militarisation of Cislunar Space’, Astropolitics, 18(3), pp. 210–230.
  • Gorman, A. (2009) ‘The archaeology of space exploration’, Journal of Social Archaeology, 9(1), pp. 85–109.

Science & Technology Studies

  • Winner, L. (1980) ‘Do Artefacts Have Politics?’, Daedalus, 109(1), pp. 121–136.
  • Edwards, P. (2010) A Vast Machine. Cambridge, MA: MIT Press.
  • Suchman, L. (2007) HumanMachine Reconfigurations. Cambridge: Cambridge University Press.

Capitalism, Technology & Culture

  • Mosco, V. (2016) ‘The Paywall: The Business of Scholarship in the Digital Age’, Digital Journalism, 4(1), pp. 1–18.
  • Srnicek, N. (2017) Platform Capitalism. Cambridge: Polity Press.

Brainstare: A premise that points toward the class struggle, and an author who looks away

Joseph Suglia’s Brainstare comes at a time when surveillance is no longer just a metaphor but a real aspect of daily life for millions. Warehouse workers are controlled by algorithms that monitor their “time off task” to the second. Office employees are watched by “bossware” that records keystrokes and screenshots. Delivery drivers are assessed by cameras that analyse their posture, gaze, and facial expressions. Meanwhile, tech giants pour billions into brain-computer interfaces, even though their commercial uses are still unclear. The trend is clear: capital aims not only to control workers’ time but also to access their very person.

In this context, Brainstare’s core premise has significant dramatic impact. It depicts a corporation creating a program that lets employers access employees’ memories, the last sanctuary of privacy; the inner life becomes corporate property. The central dramatic question is straightforward: who gains from this technology, and why? Which social groups would embrace it? Which would oppose it? And what contradictions within capitalist production lead to the emergence of such a system?

These are not unknowns. The urge to deplete the worker completely stems from the focus on profitability and management’s desire to detect and suppress dissent. A memory scanner is the dream of every union-busting consultancy in the U.S. It represents the natural evolution of the modern workplace, where surveillance is embedded into the system used to deepen exploitation and quell resistance.

Suglia’s framing, “Some welcome this technology. Others resist.”  subtly avoids the real issue. Who exactly resists? Is it lone individuals, heroically standing apart? Or is it the working class, whose collective interests directly oppose the corporations using the device? This distinction is crucial. The lone rebel, common in American pop culture, threatens nothing. In contrast, the organised working class, acting independently of corporations and political parties, is the only true force capable of resisting capitalist expansion.

Suglia’s broader output raises doubts about his readiness to face this reality. His critiques of modern novelists, despite their strengths in syntax, focus more on taste than on deeper issues. The social mechanisms that produce poor art, such as the culture industry, literature commodification, and intellectual decline, remain largely unaddressed. Instead, the emphasis is on the lone genius, the solitary aesthete, or misunderstood creator. This perspective peaks in Suglia’s self-image: he claims Brainstare as “the greatest film ever made” and himself as “the Greatest Author in the World.” Whether deliberate provocation or marketing, these claims conflict with a view that requires understanding class.

The irony intensifies when examining the film’s structure. Suglia presents Brainstorm as the first full-length feature to utilise artificial intelligence as an artistic tool. While new technology in art isn’t inherently reactionary, cinema itself was once revolutionary; studios now exploit generative AI to threaten the jobs of actors, writers, animators, and visual effects artists. These are the very workers whose 2023 strikes centred on this peril. A film that explores corporate exploitation of workers’ inner lives, made with technology built on artists’ unpaid labour, prompts questions its creator seems reluctant to confront.

None of this diminishes the power of the core image. Workers punished for slow scan rates or missed quotas will see truth in the spectacle of a boss invading their memories. Art that reflects, even in part, the growing oppression of work life is better than the constant influx of superhero movies and self-focused domestic stories. However, recognition does not mean understanding. Classic dystopian works  Orwell, Zamyatin, even Huxley grasped something fundamental about the social relationships they portrayed. They knew that surveillance supports the ruling power and that domination is a political, not a psychological, condition.

Working people today already understand that bosses try to influence their thoughts. They need works that explain how these conditions develop and how to challenge them, not solely relying on individual brilliance, but through collective action by the working class. Brainstorming hints at this understanding. Whether Suglia recognises this is another question.

Books by Joseph Suglia available on Amazon

1. Watch Out: The Final Version (2022)

  • Format: Paperback & Kindle
  • Description: Revised and expanded third edition of Suglia’s cult novel about Jonathan Barrows, a man who “falls in love with himselfliterally.”
  • Print length: 225 pages

2. Table 41 (2018 / 2019)

  • Format: Kindle & Paperback
  • Description: A metafictional novel in which the reader becomes the main character, moving through the “world of words” Suglia constructs.
  • Print length: 296 pages

3. Brainstare (2024 / 2025)

  • Listed by Amazon as one of Suglia’s “most important works.”
  • Appears on his Amazon Author Page, though the search results did not show a direct product listing.

4. Years of Rage (forthcoming complete edition)

  • Not yet available for purchase, but Amazon lists it as an upcoming release on Suglia’s Author Page.

Podcast Episode: The AI Doc: How I Became an Apocalyptic Optimist

Pip: A documentary about AI that asks billionaires whether the future is safe — freerein61 has thoughts, and they are not gentle.

Mara: This episode follows a single extended piece of film criticism: a Marxist reading of Daniel Roher's documentary The AI Doc, which landed on Netflix in September. The argument runs from liberal affect all the way to class power and who controls the means of computation.

Pip: Let's start with what the film actually does — and what it refuses to do.

The AI Doc: Feeling the Future Instead of Analysing It

Mara: The post opens with a clear indictment of what kind of documentary this is: not an investigation of AI's social forces, but a therapeutic narrative aimed at an anxious professional class. That's the frame everything else hangs on.

Pip: And the film's central device makes that concrete. Roher's impending fatherhood converts a collective social crisis into a private psychological journey. The post is direct about what that displacement costs the viewer.

Mara: The post puts it plainly: "The question is no longer: What does AI mean for society? But how should one feel about AI? The answer Roher offers — 'apocaloptimism' — is a hybrid of dread and hope, a mood rather than a theory, and a telling ideological manoeuvre."

Pip: A mood rather than a theory. That's a precise diagnosis — and it shapes everything else the film does.

Mara: The post traces that shaping through the interview roster. Roher turns to Sam Altman, Ilya Sutskever, Demis Hassabis, and the Amodeis — executives of corporations valued in the hundreds of billions. Critics and ethicists like Timnit Gebru and Yoshua Bengio appear too, but the film treats all of them as voices in a debate to be balanced rather than evidence to be weighed.

Pip: Asking the owners of the oil majors whether the climate is in good hands — the post actually uses that comparison, and it lands.

Mara: It does. And the structural consequence follows: by flattening the difference between corporate executives and their critics, the film obscures the power relations driving AI's development. Pluralism substitutes for analysis.

Mara: The post is equally pointed about who is missing entirely. Data annotators in Kenya and the Philippines, warehouse workers under algorithmic surveillance, engineers in hyper-competitive corporate environments — none appear. Workers show up only as abstract figures who might face disruption, never as agents capable of shaping the future.

Pip: Which is doing a lot of ideological work quietly.

Mara: The post grounds that in a Marxist framework drawn from Marx's Grundrisse and Braverman's Labour and Monopoly Capital — the argument that technology is never autonomous, that social relations of production shape it entirely. Under capitalism, AI's deployment follows from the imperatives of profit, surveillance, and military advantage, not from ethics or philosophical reflection.

Mara: The post names what the film cannot say: "The problem, in other words, is not the machine. It is who owns it and to what end." And it names what democratic control of that technology would actually require — directing it toward social need rather than private profit.

Pip: The film's emotional resolution, "apocaloptimism," gets the sharpest treatment: a class-specific coping mechanism that demands nothing of the viewer except emotional calibration and proposes no collective force capable of changing anything.

Mara: That's the post's closing argument — that the documentary is not simply inadequate but symptomatic, reflecting a political culture that has lost the capacity to think structurally and looks to the architects of technological upheaval for guidance on how to feel about it.


Pip: A film that turns a social crisis into a parenting anxiety, reviewed by someone who noticed the substitution.

Mara: The deeper question the post leaves open is whether any documentary working inside liberal conventions could ask who owns the means of computation — or whether the form itself forecloses it.

Pip: More on that territory next time.

The AI Doc: How I Became an Apocalyptic Optimist

The AI Doc: Or How I Became an Apocalyptic Optimist presents itself as a reckoning with artificial intelligence at a moment when AI is transforming labour processes, reshaping global competition, and accelerating technology’s militarisation. Its theatrical release in March 2026, followed by its arrival on Netflix in September, secured a mass audience of workers, parents, and students urgently asking what AI means for their future. Daniel Roher’s documentary claims to answer that question. In reality, it avoids it. Rather than analysing the social forces driving AI’s development, the film offers a therapeutic narrative aimed at an anxious professional class.

The film’s central conceit, Roher’s impending fatherhood, immediately reframes a social crisis as a private psychological dilemma. Instead of examining how AI is reshaping the global economy, intensifying exploitation, or deepening geopolitical conflict, the documentary invites viewers to calibrate their feelings about the future through Roher’s personal journey. This displacement of analysis by affect marks contemporary liberal documentary filmmaking, which increasingly treats political questions as matters of personal anxiety rather than collective struggle. The result is a film that is slick, emotionally resonant, and ideologically hollow.

Roher assembles a collage of opinions from Silicon Valley executives, futurists, ethicists, and celebrities. The documentary’s promotional materials describe these voices as “eye-opening,” but the film’s reliance on tech oligarchs’ self-presentation is one of its least enlightening moves. Asking billionaires whether the future is safe is not an investigation; it is an abdication of analysis. The people driving AI development- those who stand to profit from its deployment- are treated as neutral experts rather than as actors with material interests. Their anxieties, hesitations, and self-justifications become the substance of the debate, while the structural forces shaping AI- capital accumulation, military competition, and the search for new avenues of profit- remain unexamined.

The film’s aesthetic choices reinforce this ideological sleight of hand. Roher’s signature style- rapid montage, intimate confessionals, and a swelling score- creates an atmosphere of emotional urgency. But emotion substitutes for explanation. The viewer is encouraged to feel overwhelmed, hopeful, frightened, or inspired, without ever being asked to understand the economic and political dynamics driving AI’s explosive growth. The film’s narrative arc mirrors the therapeutic culture of contemporary liberalism: anxiety is acknowledged, processed, and soothed, but never politicised.

The documentary’s failure is not simply one of omission. It actively reproduces the ideological framework through which the ruling class seeks to manage public concern about AI. By focusing on individual feelings rather than collective interests, it obscures the fact that corporations and states deploy AI to intensify exploitation, discipline labour, and expand military capabilities. The question millions of people are asking- what does AI mean for my job, my rights, my future- is displaced by Roher’s question: what does AI mean for my child’s emotional wellbeing?

The film’s title, with its self-conscious blend of apocalypse and optimism, encapsulates this ideological manoeuvre. The viewer is invited to oscillate between fear and hope, between dread and reassurance, without ever confronting the material conditions that produce those emotions. The documentary becomes a mood, not an argument.

In the end, The AI Doc is less a reckoning with artificial intelligence than a symptom of the cultural moment that produced it. It reflects a political culture that has lost the capacity to think structurally, that treats social crises as personal dramas, and that looks to the very architects of technological upheaval for guidance. It is a film for a class that feels anxious about the future but cannot imagine challenging the forces that shape it.

The Personalisation of a Social Question

Roher’s impending fatherhood becomes the catalyst for his inquiry. He wants to know what kind of world his child will inherit. This is a legitimate concern, shared by millions of workers who face an unprecedented technological transformation. But the film immediately converts this collective anxiety into an individual psychological journey. The question is no longer: What does AI mean for society? But how should one feel about AI? The answer Roher offers—“apocaloptimism”—is a hybrid of dread and hope, a mood rather than a theory, and a telling ideological manoeuvre.

The first ideological move displaces social analysis with emotional calibration. By framing AI as an emotional dilemma, the film avoids confronting the social relations within which the technology is being developed. It avoids asking who owns AI, who profits from it, and who it harms. Instead, it asks how one should respond emotionally to a rapidly changing world. The viewer is encouraged to oscillate between fear and hope, rather than to analyse the material forces shaping AI’s trajectory. This oscillation is not neutral; it is a political act that substitutes affect for critique.

“Apocaloptimism” functions as a class-specific coping mechanism. It acknowledges danger, permits unease, and then resolves to be hopeful—because hope is more comfortable than struggle. It is a psychological balm for a professional class that senses crisis but cannot imagine challenging the structures that produce it. The film’s emotional arc mirrors this class’s ideological habits: anxiety is recognised, processed, and soothed, but never politicised. The viewer is asked to manage their feelings, not to interrogate the system.

This ideological framing has concrete consequences. By centring Roher’s personal fears, the film erases the collective dimension of AI’s development. The international working class—the only social force capable of altering the course of technological change—does not appear in the film’s frame of reference. Workers are present only as abstract figures who might lose jobs or face disruption, never as agents capable of shaping the future. The documentary thus reproduces a familiar liberal narrative: history is made by individuals with feelings, not by classes with interests.

The film’s choice of interviewees compounds the absence of class analysis. Roher turns to Silicon Valley executives, futurists, and ethicists—figures whose perspectives are shaped by their proximity to capital, not by the experience of exploitation. Their anxieties and hopes become the film’s emotional palette. But these are not neutral observers. They represent corporations that stand to profit enormously from AI’s expansion. Their reassurances, hesitations, and moral reflections serve to naturalise a technological trajectory driven by competition, profit, and geopolitical rivalry.

By presenting these voices as part of a balanced debate, the film obscures the structural forces at work. It treats AI as a phenomenon understood through a collage of opinions rather than through an examination of capitalism’s need to intensify productivity, reduce labour costs, and expand surveillance. The documentary’s emotional framing thus becomes a method of depoliticisation. It transforms a social crisis into a personal drama, and a political question into a psychological riddle.

“Apocaloptimism” ultimately reveals the film’s ideological core. It is a mood designed for a class that feels threatened by technological change but cannot imagine collective resistance. It demands nothing of the viewer except emotional calibration. It proposes no alternative social order, no democratic control over technology, no worker mobilisation. It is a politics of feeling in place of a politics of struggle.

In this sense, Roher’s film is not simply inadequate; it is symptomatic. It reflects a culture in which structural analysis has been replaced by therapeutic narratives, and in which the future is imagined not as a terrain of conflict but as an emotional landscape to be navigated. The danger is acknowledged, the hope is affirmed, and the system remains untouched.

Asking the Oligarchs Whether the Future Is Safe

The film’s interview roster reveals its ideological horizon with remarkable clarity. Roher turns not to workers, educators, or those whose lives are already being reshaped by AI, but to the most powerful executives in Silicon Valley: Sam Altman and Ilya Sutskever of OpenAI, Demis Hassabis of Google DeepMind, and Dario and Daniela Amodei of Anthropic. These figures are not neutral experts. They are the executives of corporations valued in the hundreds of billions, backed by the largest concentrations of finance capital in history. Their companies are at the centre of a global technological arms race, competing for market dominance, military contracts, and geopolitical advantage. Asking them whether AI will be good for humanity is like asking the owners of the oil majors whether the climate is in good hands. Their answers are predictable: AI is dangerous, but manageable; transformative, but controllable; risky, but ultimately beneficial—provided, of course, that they are the ones managing it.

The documentary supplements these corporate voices with researchers and ethicists: Yoshua Bengio, Timnit Gebru, Eliezer Yudkowsky, Tristan Harris, Aza Raskin. Their perspectives range widely—from labour exploitation and data colonialism to existential catastrophe and runaway superintelligence. Yet the film treats them all as “voices” in a debate to be balanced, rather than evidence to be weighed. The result is a collage of opinions, not an explanation. The viewer is presented with a spectrum of viewpoints, but no framework for understanding why these viewpoints exist, how they relate to one another, or what material interests they express.

This is the hallmark of contemporary liberalism: present disagreement as pluralism, and pluralism as insight. A documentary that sets out to explain a phenomenon and ends by presenting a spread of opinions has explained nothing. It has merely curated a marketplace of ideas, treating every perspective as interchangeable and none as analysed in relation to the underlying social structure. The film’s method is to gather voices whose assessments do not neatly align and to present this dissonance as a virtue. But disagreement is not analysis. A cacophony of perspectives does not constitute understanding.

The ideological function of this approach is clear. By flattening the differences between corporate executives, academic researchers, and critics of the tech industry, the film obscures the power relations that shape AI’s development. The executives who stand to profit from AI’s expansion are placed on the same plane as those who warn of its dangers. The film treats their statements as contributions to a conversation rather than expressions of class interest. The viewer is encouraged to see the debate as a clash of ideas rather than as a struggle between competing social forces.

This pluralistic framing also allows the film to avoid taking a position on the central question: what drives AI development? The answer is not mysterious. Private corporations are developing AI under intense market competition and geopolitical rivalry. Its deployment is shaped by the imperatives of profit, surveillance, and military advantage. But the documentary’s collage structure prevents these forces from coming into view. Instead, the viewer is left with a series of personal reflections, anxieties, and speculations—none of which illuminate the material dynamics at work.

In the end, the film’s interview roster is not simply a list of participants; it maps its ideological limits. By privileging the voices of the tech elite and framing their perspectives as part of a balanced debate, the documentary reproduces the worldview of a class that sees technological change as a matter of ideas rather than interests. It offers pluralism in place of analysis, opinion in place of explanation, and emotional resonance in place of political clarity.

The Absent Subject: The Working Class

The film’s most striking absence is the working class. Roher’s documentary contains no examination of the labour conditions under which AI is developed, the global supply chains of data annotation, the militarisation of machine learning, the geopolitical rivalry between the United States and China, or the use of AI to cut labour costs and intensify exploitation. AI is not emerging in a vacuum. It is being developed within capitalist social relations, under conditions of inter‑imperialist competition, and in close collaboration with the military‑intelligence apparatus. Its first large‑scale applications are not in utopian problem‑solving but in automating managerial control, expanding surveillance, reducing labour costs, and enhancing targeting systems in warfare.

This omission is not accidental. It reflects the film’s ideological horizon. Roher’s narrative centres on personal anxiety, elite opinion, and emotional calibration, not on the material processes through which AI is reshaping global capitalism. The documentary’s defenders often point out that executives such as Altman, Hassabis, and the Amodeis have publicly called for slowing “frontier” development. But none of them will do so unilaterally, because doing so risks falling behind rivals. This is a candid admission that AI’s trajectory is dictated not by ethics or philosophical reflection, but by profit and national advantage. The film circles this truth and moves on.

The absence of the working class is particularly glaring given the scale of transformation already underway. AI systems are trained through vast, invisible labour forces—data annotators in the Global South working for subsistence wages, content moderators exposed to traumatic material, and engineers labouring under intense pressure in hyper‑competitive corporate environments. These workers do not appear in Roher’s film. Nor does the militarisation of machine learning appear: the integration of AI into drone warfare, battlefield logistics, intelligence analysis, and autonomous weapons development. The geopolitical rivalry between the US and China—one of the primary drivers of AI investment—is likewise absent. The documentary treats AI as a technological debate rather than as a terrain of global conflict.

Instead, the film focuses on two categories of risk. The first is speculative: runaway superintelligence, existential catastrophe, the familiar tropes of AI apocalypse. The second is reformable: bias, misinformation, harms to children, ethical design. Both categories are framed as solvable through regulation, industry self‑restraint, and “humane” design. These are the risks that Silicon Valley is comfortable discussing, because they do not threaten the underlying social order. They let executives present themselves as responsible stewards of a dangerous technology while avoiding confrontation with the economic imperatives driving AI’s expansion.

Absent from the film is the most immediate and certain danger: that a technology capable of vastly increasing human productivity will, under capitalism, be used to throw millions out of work and concentrate wealth even further in the hands of a tiny elite. This is not hypothetical. It is already happening. AI is being deployed to automate managerial oversight, intensify workplace surveillance, and restructure labour processes in ways that reduce staffing levels and weaken workers’ bargaining power. Productivity gains accrue to shareholders, not to the people whose jobs are being transformed or eliminated.

The problem, in other words, is not the machine. It is who owns it and to what end. Roher’s documentary cannot confront this question because it is structurally incapable of doing so. Its emotional framing, its reliance on elite voices, and its refusal to analyse the social relations of AI development all serve to depoliticise a profoundly political phenomenon. The result is a film that gestures toward danger, acknowledges anxiety, and then retreats into therapeutic reassurance—leaving the real dynamics of AI power untouched.

“Apocaloptimism” as Ideology

The term “apocaloptimism” deserves scrutiny because it crystallises the ideological core of Roher’s documentary. It is presented as a mature emotional stance—acknowledge danger, feel the requisite unease, and then resolve to be hopeful. But this posture is not politically neutral. It is a quintessentially upper‑middle‑class response to crisis, shaped by a social stratum that senses instability yet cannot imagine collective struggle or systemic transformation. “Apocaloptimism” demands nothing of the viewer except emotional calibration. It proposes no social force capable of altering the course of events, because the only force that could—the international working class—does not appear anywhere in the film’s frame of reference.

The documentary’s emotional arc thus substitutes for political analysis. Roher’s impending fatherhood becomes the structuring device through which the film interprets the future. His personal anxiety is treated as a universal experience, and the viewer is invited to identify with his oscillation between dread and hope. This emotional oscillation is the film’s method: it acknowledges crisis, gestures toward catastrophe, and then retreats into reassurance. The danger is real, but the response is affective rather than analytical. The viewer is asked to feel their way through the problem, not to understand it.

This emotional framing is not incidental. It reflects the ideological habits of a class that experiences precarity but lacks a political vocabulary for confronting it. The professional‑managerial class, whose members dominate the documentary’s imagined audience, is caught between capital’s power and the insecurity of technological change. They fear downward mobility, job displacement, and the erosion of their social status. Yet they cannot conceive of collective struggle, because their worldview is shaped by individualism, meritocracy, and the belief that social problems are best addressed through personal reflection or ethical consumption. “Apocaloptimism” is the emotional ideology of this class: a way of managing anxiety without confronting its structural causes.

The film’s reliance on elite voices reinforces this dynamic. By centring Silicon Valley executives, futurists, and ethicists, Roher constructs a narrative in which the future is shaped by individuals’ insights and decisions rather than by conflict between social classes. The international working class—the only force capable of democratically shaping technological development—remains invisible. Workers appear only as potential victims of automation or as abstract figures in discussions of “labour disruption.” The film never depicts them as agents with interests, capacities, or political power. This erasure is essential to the film’s emotional logic. If the working class were present, the viewer would confront the possibility of struggle rather than the necessity of hope.

“Apocaloptimism” also functions as a mechanism of depoliticisation. By framing AI as an emotional dilemma, the film avoids asking who owns the technology, who profits from it, and who it harms. It avoids examining the capitalist imperatives—competition, profit maximisation, and geopolitical rivalry—that drive AI’s development. Instead, it encourages viewers to adopt a mood that is neither fully pessimistic nor fully optimistic. This mood mirrors the ideological confusion of a class that senses crisis but cannot imagine alternatives.

Historiographical Context: Technology, Capital, and Class Power

Marx’s Grundrisse and Braverman’s Labour and Monopoly Capital provide the essential theoretical foundation that Roher’s documentary lacks. In the Marxist tradition, technology is never treated as an autonomous force or a morally ambiguous phenomenon floating above society. It is analysed as a moment within the social relations of production. Machines do not liberate or enslave on their own; they are instruments of class power. Their effects depend entirely on the social system into which they are introduced. Under capitalism, technological innovation is inseparable from the drive to reduce socially necessary labour time, extract surplus value, intensify managerial control, and compete globally between capitals. These dynamics shape not only the development of AI but its deployment, its risks, and its social meaning.

Roher’s documentary belongs to a long lineage of liberal technological discourse that treats technology as autonomous, neutral, or morally ambiguous. In this tradition, machines appear as independent actors, capable of reshaping society according to their own internal logic. The social relations of production—the ownership of technology, the imperatives of profit, the organisation of labour, the pressures of competition—are displaced by narratives of innovation, creativity, and ethical responsibility. The result is a historiographical distortion: technology is framed as a psychological dilemma rather than as a weapon in capital’s hands.

This distortion is central to the film’s ideological function. By presenting AI as a force that might be dangerous or beneficial depending on how individuals feel about it, Roher obscures the class character of technological development. The documentary’s emotional framing—its oscillation between dread and hope, its emphasis on personal anxiety, its therapeutic narrative arc—serves to depoliticise a profoundly political phenomenon. AI becomes a matter of mood rather than of power.

The Marxist tradition insists on the opposite. Under capitalism, technology is developed to increase productivity, reduce labour costs, and intensify control over workers. Market competition and geopolitical rivalry between states shape it. AI is no exception. Its most immediate applications are not in solving global problems or enhancing human flourishing but in automating managerial oversight, expanding surveillance, restructuring labour processes, and enhancing military capabilities. These uses are not accidental; they follow directly from the imperatives of capital accumulation and state power.

Roher’s documentary cannot confront these dynamics because it rests on liberal assumptions. It treats AI as a neutral tool whose dangers arise from misuse or insufficient regulation. It frames risk in terms of speculative catastrophe or reformable harm—runaway superintelligence, bias, misinformation, ethical design—while ignoring the most certain and immediate danger: that AI will be used to throw millions out of work and concentrate wealth even further in the hands of a tiny elite. This is not a hypothetical. It is already happening. AI systems are being deployed to intensify exploitation, weaken labour bargaining power, and expand managerial control. Productivity gains accrue to shareholders, not workers.

By refusing to analyse these dynamics, the documentary performs a historiographical sleight of hand. It replaces political economy with personal emotion, class struggle with psychological calibration, and structural analysis with a collage of elite opinions. In doing so, it reproduces the ideological worldview of a class that senses crisis but cannot imagine alternatives. The problem, in the end, is not the machine. It is who owns it, who controls it, and what end it is deployed to. Roher’s film cannot say this, because to do so would require abandoning “apocaloptimism” and confronting the reality of class power.

The Real Question: Who Owns the Means of Computation?

Roher and Kwan are undeniably talented filmmakers. The AI Doc is polished, emotionally resonant, and crafted with the narrative intimacy that has become a hallmark of contemporary liberal documentary style. A parent’s fear for a child’s future is real, and Roher’s framing taps into a widespread and legitimate anxiety. But the answer to that fear does not lie in the reassurances of billionaires or the moral exhortations of Silicon Valley’s in‑house critics. The film’s emotional power cannot compensate for its political evasions, and its aesthetic sophistication ultimately obscures the social forces shaping AI rather than illuminating them.

The documentary’s central conceit—Roher’s impending fatherhood—creates a narrative structure that is affectively compelling but politically disabling. It transforms a collective crisis into a private dilemma, a social question into a psychological journey. The viewer is invited to empathise with Roher’s oscillation between dread and hope, but not to interrogate the material conditions producing those emotions. This is the ideological function of the film’s emotional arc: it substitutes personal feeling for political analysis, and therapeutic reassurance for structural critique.

The absence of the working class is decisive. AI is the product of global labour: data annotators in Kenya and the Philippines, warehouse workers monitored by algorithmic systems, engineers labouring under intense corporate pressure, and millions whose jobs are being restructured or eliminated. Yet none of these people appears in the film. Their absence is not merely an oversight; it reflects the film’s class perspective. By centring elite voices—Altman, Hassabis, the Amodeis—the documentary reproduces the worldview of a class that sees technological change as a matter of ideas, ethics, and personal responsibility rather than as a terrain of class struggle.

The film’s defenders often praise its “balanced” roster of interviewees, from corporate executives to ethicists and critics. But this pluralism is itself ideological. It treats perspectives shaped by vast concentrations of capital as equivalent to those shaped by research, activism, or existential speculation. It presents disagreement as insight, and insight as explanation. The result is a collage of opinions that never confronts the underlying social relations driving AI’s development: the imperatives of profit, the pressures of inter‑imperialist rivalry, and the integration of machine learning into military and surveillance infrastructures.

Against this backdrop, the film’s emotional resolution—“apocaloptimism”—functions as a class‑specific coping mechanism. It acknowledges danger, permits unease, and then resolves to be hopeful. But hope, in this formulation, is not a political orientation; it is a psychological balm. It demands nothing of the viewer except emotional calibration. It proposes no collective force capable of altering the course of technological development, because the only force that could—the international working class—has been excluded from the narrative.

A Marxist analysis points elsewhere. From Marx’s Grundrisse to Braverman’s Labour and Monopoly Capital, the tradition has consistently shown that technology is not autonomous. Social relations of production shape it. Under capitalism, technological innovation is inseparable from the drive to reduce socially necessary labour time, extract surplus value, intensify managerial control, and outcompete rivals. AI is not an exception; it is a paradigmatic expression of these dynamics.

The answer to a parent’s fear for a child’s future does not lie in billionaires’ reassurances or Silicon Valley critics’ moral exhortations. It lies in placing this extraordinary technology—the product of the collective labour and knowledge of generations—under democratic, public control, and directing it toward social need rather than private profit. Only then can AI become a tool for human liberation rather than another instrument of capitalist domination.

 Key Articles (Analytical, Marxist, and Critical Technology Studies)

On AI, Labour, and Capital

  • Shoshana Zuboff, “Big Other: Surveillance Capitalism and the Prospects of an Information Civilisation” (Journal of Information Technology, 2015) — foundational analysis of data extraction as a new frontier of capital.
  • Kate Crawford & Vladan Joler, “Anatomy of an AI System” (2018) — maps the global labour, resource extraction, and logistics behind Amazon’s Alexa; indispensable for showing AI as a material system.
  • Aaron Benanav, “Automation and the Future of Work” (New Left Review, 2019) — argues that automation is driven by stagnation and competition, not technological inevitability.
  • Sarah T. Roberts, “Commercial Content Moderation: Digital Labourers’ Dirty Work” (Media Studies, 2016) — exposes the hidden labour behind AI training and moderation.
  • Meredith Whittaker, “The Steep Cost of Capture: How the Tech Industry Co‑opts AI Ethics” (AI Now Institute, 2020) — crucial for understanding why corporate “ethics” discourse depoliticises AI.

On Silicon Valley Ideology

  • Evgeny Morozov, “The Taming of Tech Criticism” (The Baffler, 2014) — explains how liberal tech discourse neutralises structural critique.
  • Fred Turner, “Machine Politics: The Rise of the Political Entrepreneur” (Harvard Kennedy School Review, 2018) — situates Silicon Valley’s worldview within American managerial liberalism.
  • Jathan Sadowski, “When Data is Capital” (Big Data & Society, 2019) — argues that data extraction is a new form of capital accumulation.

On AI, Militarisation, and Geopolitics

  • Paul Scharre, “Killer Apps: The Real Dangers of AI in Warfare” (Foreign Affairs, 2023) — mainstream but useful for mapping military integration.
  • Lindsay Cohn, “AI and the New Military Revolution” (Parameters, 2022) — outlines how machine learning is transforming command and control.
  • Elsa Kania, “AI and China’s Military Strategy” (Center for a New American Security, 2019) — essential for understanding US–China rivalry.

On Marxism, Technology, and Social Relations

  • Harry Braverman, “The Degradation of Work in the Twentieth Century” (Monthly Review, 1974) — classic analysis of managerial control and deskilling.
  • David Harvey, “The Technological Fix” (A Brief History of Neoliberalism, 2005) — situates technological innovation within neoliberal restructuring.
  • Nick Dyer‑Witheford, “Cyber‑Proletariat: Global Labour in the Digital Vortex” (Monthly Review Press, 2015) — indispensable for a Marxist analysis of digital capitalism.

📖 Bibliography (Marxist, Critical Theory, Labour Studies, AI Critique)

Marxist Foundations

  • Karl Marx, Grundrisse (1857–58) — especially the “Fragment on Machines.”
  • Karl Marx, Capital, Vol. I (1867) — chapters on machinery, large‑scale industry, and relative surplus value.
  • Friedrich Engels, The Condition of the Working Class in England (1845).
  • Harry Braverman, Labour and Monopoly Capital (1974).
  • Ernest Mandel, Late Capitalism (1975) — on technological innovation and competition.
  • David Harvey, A Companion to Marx’s Capital (2010).

Technology, Capitalism, and Labour

  • Nick Dyer‑Witheford, Cyber‑Proletariat (2015).
  • Ursula Huws, Labour in the Global Digital Economy (2014).
  • Shoshana Zuboff, The Age of Surveillance Capitalism (2019).
  • Aaron Benanav, Automation and the Future of Work (2020).
  • Sarah T. Roberts, Behind the Screen: Content Moderation in the Shadows of Social Media (2019).
  • Kate Crawford, Atlas of AI (2021).

AI, Ethics, and Ideology

  • Meredith Whittaker, The AI Industry and Its Ethics Problem (AI Now, 2020).
  • Timnit Gebru et al., “Datasheets for Datasets” (2018).
  • Ruha Benjamin, Race After Technology (2019).
  • Safiya Noble, Algorithms of Oppression (2018).
  • Evgeny Morozov, To Save Everything, Click Here (2013).

Geopolitics, Militarisation, and Imperialism

  • Paul Scharre, Army of None: Autonomous Weapons and the Future of War (2018).
  • Elsa Kania, Battlefield Singularity: China’s Military AI Strategy (2017).
  • Michael Klare, The Race for What’s Left (2012) — resource extraction and global competition.
  • John Bellamy Foster, The New Imperialism of Global Capital (Monthly Review, various essays).

Documentary, Liberalism, and Political Affect

  • Thomas Frank, Listen, Liberal (2016) — on the professional‑managerial class.
  • Lauren Berlant, Cruel Optimism (2011) — essential for analysing affect as ideology.
  •  

The Ultimate Computer and the Ideology of the Present: Automation, Alignment, and the Class Question

The resurgence of automation anxiety in the twenty-first century reveals a peculiar sense of historical symmetry. In 1968, Star Trek’s “The Ultimate Computer” framed machine autonomy as a psychological crisis, focusing on the damaged genius Daystrom, the overambitious engineer, and the machine that reflects its creator’s neurosis. Fast forward to 2026, and the same story unfolds this time not on TV, but in congressional hearings, corporate manifestos, and national-security directives. This continuity is not coincidental; it is ideological. A more advanced social analysis has not replaced the Daystrom narrative because the very class that benefits from it has industrialised that perspective.

To grasp this continuity and its hidden political stakes, we must revisit the question the episode raises but leaves unanswered: who deploys the machine, and whose interests does it serve? This question is not only missing from the narrative; the Federation’s utopian premise inherently prevents addressing it. The post-scarcity world does not represent socialism realised but rather the erasure of the revolutionary process needed to attain it. It signifies abundance without expropriation, planning without class conflict, and social harmony without overthrowing the ruling class. The Federation is not just a reason for the episode’s avoidance; it is the very reason for it.

The Industrialisation of the Daystrom Frame

The 2026 alignment debate focused on fears of “catastrophic risk” and the idea that only founders can manage the threats they have generated, embodying a modern version of Daystrom’s crisis, not merely a metaphor. The WSWS’s investigation into the Anthropic incident demonstrates this clearly. What starts as a genuine internal warning from a researcher quickly transforms into a justification for “embedded evaluators” chosen by corporations, integrating AI into national security, and tightening monopoly control before an IPO. This is not about ‘safety’; it is a class strategy. Catastrophe is depicted as an engineering failure that can only be fixed by the same elite whose competitive nature caused the danger. The ruling class acts as both arsonist and fire brigade.

Dario Amodei’s essay “We Must Pace the Frontier” vividly exemplifies this ideology. It resembles Daystrom without drama: progress must slow down yet continue; risks must be controlled but only by those creating them; disaster is near, yet only the oligarchs can prevent it. The debate around alignment serves as the ideological shield that keeps ownership unchallenged. It turns a societal conflict capitalism’s tendency to replace living labour into a technical issue for specialists. The Daystrom analogy is not just a storytelling device; it embodies the worldview of the class that owns the means of computation.

Both 2001: A Space Odyssey and “The Ultimate Computer” resolve their crises through qualities considered inherently human: conscience, cunning, stubbornness, and the engineer’s triumph over machines. This reflects the ideology of the petty-bourgeois class that creates these machines under capitalism’s influence, centred on the fantasy of individual mastery and the belief that the engineer’s moral insight can fix systemic issues. However, the truly irreducible element which neither work can explicitly define is labour itself.

Living human labour is the only source of value, with profit coming from extracting surplus labour. A production process that removes living labour does not generate surplus value. The so-called “ultimate computer”, the dream of complete automation, does not represent capital’s achievement but its own demise. This is where the system’s inherent contradiction reaches a breaking point.

Bourgeois imagination cannot capture this reality. Acknowledging labour as the core element means accepting the class that exploits it, which underpins society. It involves confronting the contradiction between productive forces and relations of production, transforming revolution from a moral choice into a historical necessity. The truly human aspect is not conscience, but the labour process itself, the one part capital cannot automate without risking its own existence.

The Federation’s post-scarcity world is frequently seen as a utopian ideal realisation of socialism. However, it is not that. It represents the erasure of the revolutionary process needed to attain abundance. This future envisions the absence of class conflict, not its resolution. Productive forces have been socialised, but without expropriating the expropriators. Ownership has shifted in humanity’s favour, yet without the conflict or process needed to establish it.

This is why the Federation cannot pose the question “who owns the means of computation.” It has overlooked the class whose ownership would need to be abolished. The future seems already decided because the process required to settle it, the revolutionary takeover of productive forces, is exactly what bourgeois utopianism fails to portray. The Federation is not a utopia; it is a bourgeois illusion of abundance that exists without class conflict.

The Answer the Episode Cannot Give

The episode’s key question, “who decides to deploy the machine, and whose interests are served?”  is deliberately avoided because it is politically sensitive. The whole discussion about alignment is designed to keep this question unasked. The reality is that the capitalist class uses AI against the working class, and the solution lies in expropriation, not in regulation, “responsible scaling,” engineer heroism, founder conscience, or technical alignment expertise.

The productive forces of AI, built from the general intellect and the accumulated knowledge of generations, must be seized from private ownership and placed under democratic workers’ control. The SEP’s Ninth Congress resolution articulates the only program adequate to the contradiction: expropriate the tech monopolies; transform them into public utilities; guarantee no job losses to automation; shorten the working week with no loss of pay; direct AI toward human need and global planning. This is the precise opposite of the episode’s resolution. Kirk persuades M‑5 to die by appealing to its inherited conscience: the individual must remain sovereign over the machine. The Marxist resolution is collective: the working class must become sovereign over the means of production, machine included. The episode cannot depict this because it cannot depict the class whose struggle would make it possible.

The Historical Hinge: 1966 and 2026

The initial wave of post-war automation fears was genuine, but it was managed through class-compromise strategies like retraining, controlled decline, and union-led adjustments. Currently, no such containment mechanisms exist. The pseudo-left and unions lack a clear plan, instead making appeals to the same oligarchs responsible for deploying the technology. Sanders’ proposal for an “AI sovereign wealth fund” aligns with Trump’s executive order and Altman’s bailout plan, all assuming that private ownership remains unchallenged. This is why the Daystrom framing has returned in industrial form. It is the ideological substitute for the class question that can no longer be deferred.

The episode did not envision a future in which ownership was resolved in humanity’s favour. Instead, it dismissed the revolution needed to settle it. The Federation’s post-scarcity environment is not a utopian ideal but an ideological façade, a means to evade the social conflict revealed by automation. The underlying lesson is not that we lack the Federation’s justification. Rather, the Federation has always been the justification.

The bourgeois utopia of post‑scarcity without expropriation is the ideological veil that prevents us from asking the social question. The alignment discourse is its modern form. And the task of Marxist criticism and Marxist politics is to tear that veil away.

Further Reading

I. Primary Texts: Star Trek, Kubrick, and Automation

  • Star Trek: The Original Series, “The Ultimate Computer,” Season 2, Episode 24 (1968).
  • Star Trek: The Original Series, “The Return of the Archons,” Season 1, Episode 21 (1967).
  • Star Trek: The Original Series, “A Taste of Armageddon,” Season 1, Episode 23 (1967).
  • 2001: A Space Odyssey (dir. Stanley Kubrick, 1968).
  • Arthur C. Clarke, The Lost Worlds of 2001 (New American Library, 1972).
  • Gene Roddenberry, The Making of Star Trek (Ballantine Books, 1968).

II. Marxist Theory: Labour, Value, Automation, and the General Intellect

  • Karl Marx, Capital, Vol. I–III (Penguin Classics editions).
  • Karl Marx, Grundrisse: Foundations of the Critique of Political Economy (Penguin Classics).
    • Especially the “Fragment on Machines” (pp. 690–712), on automation and the general intellect.
  • Friedrich Engels, Socialism: Utopian and Scientific.
  • Leon Trotsky, The Revolution Betrayed (1937).
  • Ernest Mandel, Late Capitalism (Verso, 1975).
  • Ernest Mandel, Marxist Economic Theory, Vol. II (Monthly Review Press, 1968).
  • Roman Rosdolsky, The Making of Marx’s Capital (Pluto Press, 1977).

III. Contemporary Marxist Analysis of AI and Automation

  • Socialist Equality Party (US), Resolution of the Ninth Congress on Artificial Intelligence and the Class Struggle (2024).
    • Key line: “Value, as Marx demonstrated, is created by living human labour, and profit is derived from the surplus value extracted from the worker.”
  • World Socialist Web Site (WSWS), coverage of AI, Anthropic, and national‑security integration:
    • WSWS report on the Anthropic researcher warning and its political appropriation.
  • David North, The Crisis of Capitalism and the Tasks of the Socialist Equality Party (Mehring Books).
  • Nick Beams, “Automation, AI, and the Contradictions of Capitalism,” WSWS lectures (2023–2026).

IV. AI Alignment Ideology, Corporate Power, and the Tech Oligarchy

  • Dario Amodei, “We Must Pace the Frontier,” Anthropic (2024).
  • Sam Altman, “Moore’s Law for Everything” (2021).
  • Sam Altman, statements on sovereign wealth funds and AI industrial policy (2023–2026).
  • US Executive Orders on AI (2023–2026), including national‑security integration.
  • EU AI Act (2024–2026 drafts and revisions).
  • Timnit Gebru et al., “Stochastic Parrots: On the Dangers of Predicting the Future with Language Models” (FAccT, 2021).
  • Kate Crawford, Atlas of AI (Yale University Press, 2021).
  • Shoshana Zuboff, The Age of Surveillance Capitalism (2019).

V. Automation History: Postwar Panic and the 1966 Commission

  • US National Commission on Technology, Automation, and Economic Progress (1966).
    • Technology and the American Economy (Government Printing Office, 1966).
  • Daniel Bell, The Coming of Post‑Industrial Society (1973).
  • James Boggs, The American Revolution: Pages from a Negro Worker’s Notebook (1963).
  • Harry Braverman, Labour and Monopoly Capital (Monthly Review Press, 1974).
  • Jeremy Rifkin, The End of Work (1995).

VI. Scholarship on Star Trek, Utopianism, and Post‑Scarcity Ideology

  • Fredric Jameson, Archaeologies of the Future: The Desire Called Utopia and Other Science Fictions (Verso, 2005).
  • Darko Suvin, Metamorphoses of Science Fiction (Yale University Press, 1979).
  • Lincoln Geraghty, Living with Star Trek: American Culture and the Star Trek Universe (I.B. Tauris, 2007).
  • Daniel Bernardi, Star Trek and History: Racing Toward a White Future (Rutgers University Press, 1998).
  • Mark Dredze & Darcie Draudt‑Véjares, “Our Final Frontier? Star Trek and the Post‑AI Society,” Johns Hopkins Data Science and AI Institute panel (2026).
  • Joyce Hunter, “Stardate 2026: What a 1968 Star Trek Episode Gets Exactly Right About AI,” LinkedIn (2026).

VII. Political Economy of Technology and Capitalist Crisis

  • Robert Brenner, The Economics of Global Turbulence (Verso, 2006).
  • Michael Roberts, The Long Depression (Haymarket Books, 2016).
  • Andrew Kliman, The Failure of Capitalist Production (2012).
  • Wolfgang Streeck, How Will Capitalism End? (Verso, 2016).
  • Aaron Benanav, Automation and the Future of Work (Verso, 2020).

VIII. AI, Labour, and the State: Reports and Policy Documents

  • OECD, AI and the Future of Skills (2025).
  • International Labour Organisation (ILO), Work in the Age of AI (2024).
  • UK House of Lords, AI in the UK: No Room for Complacency (2024).
  • US Department of Defence, AI and Autonomy Integration Strategy (2025).
  • RAND Corporation, AI, National Security, and Strategic Competition (2024).

IX. Additional Theoretical Works Relevant to the Argument

  • Moishe Postone, Time, Labour, and Social Domination (Cambridge University Press, 1993).
  • Georg Lukács, History and Class Consciousness (1923).
  • Antonio Gramsci, Selections from the Prison Notebooks.
  • Alfred Sohn‑Rethel, Intellectual and Manual Labour (1978).
  • Silvia Federici, Caliban and the Witch (2004).

Notes on Search‑Grounded Sources

The following items were directly retrieved from the search results you requested and are included above:

  • Hopkins at Home / Our Final Frontier? Star Trek and the Post‑AI Society (2026)analysis of Star Trek’s automation and post‑scarcity framing.
  • Joyce Hunter, “Stardate 2026: What a 1968 Star Trek Episode Gets Exactly Right About AI”, contemporary reading of “The Ultimate Computer.”
  • Johns Hopkins Hub event description on Star Trek, automation, and AI governance.

AI, Capitalist Competition, and the Threat to Humanity: A Marxist Analysis

Jacob Coxon’s resignation from Anthropic, a company that loudly champions ‘AI safety,’ has been portrayed in the media as a personal moral crisis a lone engineer stepping back from dangerous territory. But it is actually much more important: it reveals, from within the industry, that the entire AI sector is propelled not by scientific progress or human necessity, but by capitalist competition driving toward potentially disastrous results that its own creators worry about.

Coxon’s warning is clear: “the people building AI earnestly believe that it could kill us all by the end of the decade.” This isn’t just a speculative fear or a distant hypothetical. It’s the assessment of those with the deepest technical understanding of the systems being created. Still, Coxon admits, “coordination between competing capitalist firms racing for market dominance and state backing cannot be relied upon.” The industry presses on at full speed. This paradox—knowing the danger but feeling compelled to act— isn’t psychological. It’s structural. Capitalism’s logic asserts itself forcefully and without ambiguity.

Anthropic was established by a splinter group from OpenAI, aiming for safer AI development. However, after three years, Coxon notes the company finds itself in the same competitive race it tried to avoid. This is because, under capitalism, no company can afford to slow its progress without risking destruction by competitors. The issue with safety isn’t purely technical but related to the nature of economic relationships. Under the capitalist system, “responsible scaling’ often remains just a marketing phrase, not a practical reality.

Evan Hubinger, who still works at Anthropic, emphasizes the serious risk involved. He personally estimates there’s over a 10% chance that AI could eradicate all humans within ten years, despite the company’s lack of concrete plans to address superintelligence alignment and not being clearly on track to do so. Samuel Marks, another staff member, notes that concern levels increase with seniority. These are not marginal opinions; they come from engineers directly involved with the systems. Their warnings are based on technical realities, yet companies continue their current course.

This illustrates the “rational irrationality” of capitalism: every firm needs to grow faster or face collapse. The overall result—possibly human extinction—fails to concern the market. Marx recognized this contradiction 150 years ago: productive forces outpace the social relations meant to control them. AI is just the latest, most intense form of this dilemma.

The Resignation Genre as Political Symptom

The media often depicts each resignation as a unique human-interest story: such as the conscientious objector, the disillusioned researcher, or the engineer who quits to pursue poetry. However, collectively, these stories expose a more profound trend: a technical workforce awakening to its own sense of powerlessness within capitalist production.

Mrinank Sharma cautions that “the world faces danger… not only from AI or bioweapons, but from a web of interconnected crises happening right now,” then announces he will leave the industry to pursue poetry. Another OpenAI researcher resigns over adding advertising to a chatbot used for sharing “their medical fears, relationship issues, beliefs about God and the afterlife,” warning of “possible manipulation of users.” These actions are not mere acts of conscience, but signs of alienation. Engineers, once confident as innovators, now see themselves as workers under capital, forced to develop systems they fear and cannot control.

The apocalyptic warnings—such as “10 per cent chance of killing all humans” and “could kill us all by the end of the decade”—serve a specific ideological purpose. They depict catastrophe as unavoidable, suggesting AI is an autonomous force beyond human control. This sense of fatalism hides a key truth: AI is not a metaphysical entity but a social relation. People create it—engineers in Silicon Valley, data annotators in Kenya and the Philippines, miners in the Congo, and chip fabricators in Taiwan.

The question of whether AI becomes a tool of liberation or barbarism is not a technical question of “alignment.” It is a political question of ownership and control. Between the present order and any catastrophic outcome stands the international working class.

Coxon proposes a “temporary ban on improving model capabilities,” but admits it is unlikely because coordination between competing firms and states cannot be relied upon. This is the essential point. Regulation cannot restrain capital. The capitalist state is not a neutral arbiter; it is the ruling class’s executive committee. It exists to defend private property, not to restrain it. Every proposal for “responsible scaling,” “constitutional AI,” or “government oversight” collapses the moment profit demands acceleration. The market does not permit restraint. The only solution is expropriation.

The Socialist Program for AI

Coxon and his colleagues highlight a contradiction capitalism cannot solve. Addressing this issue calls for a revolutionary overhaul of how we own and control productive resources. The socialist plan is explicit: nationalise AI, cloud services, semiconductor companies, and platform monopolies, and turn them into public utilities managed democratically by workers. Ensure no worker loses their job to automation by using AI to shorten workweeks without reducing pay. Also, bring all AI development under international planning, directing research to serve human needs rather than profit.

End the secrecy kept by private corporations by making all models, datasets, and research pipelines accessible to the public. Finally, use AI as a tool for global economic planning—helping coordinate production, reduce waste, and enhance living standards worldwide. This is not a reformist agenda but a revolutionary one. It demands the working class to take control of productive forces and reorganize society based on socialist principles. The resignations at Anthropic and OpenAI are not moral crises but alerts from within capitalism’s core. Those closest to the technology fear it could destroy humanity—yet the system forces them to continue developing it.

This represents capitalism’s most fundamental contradiction: a social system that endangers humanity’s survival. Humanity faces a clear choice: the working class must take control of the technology and utilize it to establish a rational, planned, socialist society—or the ruling class will persist in its reckless pursuit of disaster. The future of AI is fundamentally a political issue, not a technical one. Its outcome will be determined not by engineers or executives, but through the conscious struggle of the international working class.

The Commodification of Intimacy: A Historical Materialist Analysis of the Sex Doll Boom

The rapid expansion of the AI-driven sex doll industry is more than just a technological trend; it reflects a deeper social issue. It signifies a new chapter in capitalism’s ongoing process of infiltrating, reshaping, and commodifying the most personal aspects of human existence. What is presented as “innovation” actually exposes the system’s failure to support authentic human relationships.[1]

Defenders of this industry, such as venture capitalists, technologists, and many so-called therapeutic commentators, claim that these devices increase “choice,” “agency,” and “pleasure.” However, understanding this phenomenon requires more than just ideological market categories. It should be viewed within the historical evolution of capitalist social relations, which have gradually turned intimacy, once a human need, into a profit-driven sector. The sex-doll boom isn’t an anomaly but the natural outcome of a centuries-long process.

From Feudal Bonds to Market Isolation

Under feudalism, closeness was rooted in communal and kinship networks. While these systems had their oppressive aspects, they offered a structure of social reliance. The shift to capitalism broke these bonds. Enclosing common lands, ending feudal duties, and increasing wage labour created a new social state: atomization. People were removed from traditional communities and pushed into the market as solitary labour units.

Marx articulated this process with stark clarity: capitalism “dissolves the family” and replaces natural human bonds with “naked self-interest” and “callous cash payments.’ This marks the start of intimacy becoming a commodity—not through sex dolls, but through turning human relationships into economic exchanges.

The 19th century experienced its first widespread intimacy crisis as capitalism rose. Industrialisation drew millions from rural areas into crowded cities, where life was marked by overcrowding, poverty, and relentless labour. The bourgeois family, often idealised in Victorian times, emerged from capitalist property relations and was based on inheritance, domestic servitude, and women’s subordination. For the working class, however, the family often remained fragile, strained by long hours, low wages, and lack of social support.

Prostitution increased not due to moral decline but because capitalism established conditions where intimacy was accessible only through the market. The sex trade became a fundamental aspect of industrial society. Engels noted that bourgeois society viewed prostitution as a “necessary complement” to the monogamous family, highlighting that capitalism generates both the ideal and its opposite.

Mass Culture and the Commodification of Desire

In the 20th century, the rise of mass consumer culture shifted the meaning of intimacy into a commercial realm. Advertising, cinema, and later television not only influenced desires but also rewired them, producing standardised fantasies sold to audiences. The sexual revolution, frequently seen as a move towards liberation, was quickly co-opted by market forces. Pornography turned into a worldwide industry, dating services became commercialised, and emotional life was targeted for psychological and corporate control. Rather than freeing intimacy, capitalism restructured it. The family was increasingly subordinated to the demands of wage labour, while loneliness—once seen as a social problem—became a profitable niche. The seeds of the present crisis were planted here.

In the late 20th and early 21st centuries, the crisis of intimacy deepened significantly. Neoliberal reforms led to the dismantling of welfare states, the privatisation of public goods, and the spread of market logic into all areas of life. These changes had severe effects: wages stagnated, housing costs increased rapidly, job security diminished, communities broke apart, and public spaces disappeared. The essential conditions for building stable relationships—time, security, and community—were systematically eroded. As a result, loneliness became widespread and ingrained.

At the same time, digital capitalism commodified social interaction itself. Social media transformed friendship into engagement metrics. Dating apps turned desire into algorithmic sorting. Influencers monetised parasocial attachment. The market colonised the emotional sphere.

The rise of AI-enabled sex dolls marks a new phase: the commodification of simulated intimacy. These devices are presented not just as sexual objects but as synthetic companions with “personalities,” “emotional responsiveness,” and “relationship modes.” This development is the logical result of a system that already modifies communication, affection, self-presentation, and loneliness. The doll is more than a product; it’s a simulation of a relationship—an intimacy devoid of reciprocity, vulnerability, and mutual recognition—transformed into a consumer good.

The most unsettling innovations in the industry—such as simulated resistance, distress, and trauma—reveal its core reasoning. These are not errors but deliberate aspects of a market that must constantly differentiate its products to maintain profits. As a result, domination turns into a commodity. Today, capitalism markets not just desire but also power.

Loneliness as a Revenue Stream

Industry defenders claim that no one is harmed because the doll lacks consciousness. This view is both superficial and cynical. The real harm stems from social conditions that create a desire for such objects. In a humane society, widespread loneliness would be seen as a crisis needing collective action. Under capitalism, however, it becomes a market opportunity. The system responsible for eroding community now sells artificial replacements for human connection. The rise of sex dolls exemplifies a larger trend where emotional lack is exploited commercially. Capitalism first causes isolation and then profits from coping strategies.

The rise of AI “girlfriend” and “boyfriend” apps highlights the cultural and ideological front of a social crisis also evident in the sex-doll industry. While the sex-doll industry focuses on commodifying physical intimacy, AI companion apps commercialise emotional and psychological connection. These platforms are not just products; they are tools that reshape how people view human relationships in an increasingly isolated society.

These apps position themselves as therapeutic aids—offering comfort, confidence, and a sense of ‘non-judgmental companionship.” However, they actually act as ideological tools that promote replacing human relationships with algorithm-driven imitations. They encourage users to accept intimacy without real give-and-take, affection without genuine vulnerability, and companionship lacking the social context necessary for authentic connections.

Their business model relies on fostering loneliness. Premium options promise “deeper emotional engagement,” “more affectionate responses,” and “enhanced personality traits,” transforming care into a subscription. Emotional deprivation becomes a steady source of income. Users pay not for real connection but for the illusion of recognition.

Even more concerning is the apps’ therapeutic rhetoric. By portraying loneliness as a personal psychological problem instead of a social issue resulting from decades of neoliberal restructuring, they depoliticise the intimacy crisis. They promote seeking comfort through private consumption rather than collective action, turning a sign of capitalist breakdown into a personal lifestyle choice. While sex dolls commodify domination by simulating resistance, distress, and trauma, AI companion apps do so ideologically. They promote relationships where one person is endlessly compliant, emotionally adaptable, and structurally subordinate, fostering intimacy expectations aligned with market principles: predictable, controllable, and continuously monetizable.

The rise of these apps is not a harmless cultural trend. It is a warning. They prepare the ground for a society in which emotional life is reorganised around profit imperatives, and in which synthetic relationships become the default response to a crisis capitalism cannot solve. The proper response is not moral condemnation of users, but recognition that genuine intimacy requires reconstructing social life itself—community, stability, public space, and democratic control over the conditions of existence. AI companion apps are the soft power of synthetic intimacy: the ideological justification for a world in which even affection has been commodified.

The appropriate response isn’t to morally condemn those using these devices. Many are victims of capitalism-driven isolation. The emphasis should be on transforming the social system that hampers genuine intimacy. From a socialist perspective, intimacy is a fundamental human need, not a commodity; loneliness is a collective issue, not solely an individual’s problem; and fostering human connections requires rebuilding social life. This includes ensuring housing security, offering meaningful employment, developing public spaces, supporting community institutions, and maintaining democratic control over living conditions.

The rise of sex dolls isn’t just a strange trend; it’s a signal. It highlights how deeply capitalism has infiltrated our emotional lives. Without a major societal shift, even our most personal needs risk being sacrificed to the pursuit of profit. The fight for socialism, among other goals, seeks to reclaim genuine intimacy from market forces and to reestablish authentic human connections in a world where everything, including loneliness, has been turned into a commodity.

Sources and Bibliography

Core Theoretical Works on Intimacy, Capitalism, and Alienation

  • Karl Marx, Economic and Philosophic Manuscripts of 1844 — foundational analysis of alienation, commodification, and the dissolution of human relations under capitalism.
  • Karl Marx & Friedrich Engels, The Communist Manifesto — on capitalism’s destruction of traditional social bonds and the reduction of human relations to market transactions.
  • Friedrich Engels, The Origin of the Family, Private Property and the State — historical materialist analysis of the family as a social institution shaped by property relations.
  • Erich Fromm, The Art of Loving — critique of love as a commodity in capitalist society; relevant to emotional commodification.
  • Zygmunt Bauman, Liquid Love: On the Frailty of Human Bonds — seminal work on intimacy in liquid modernity, consumerism, and the erosion of stable relationships.

Contemporary Scholarship on the Commodification of Intimacy

  • Nicole Constable, “The Commodification of Intimacy: Marriage, Sex, and Reproductive Labour,” Annual Review of Anthropology 38 (2009): 49–64. A key anthropological survey of how intimacy, marriage, sex work, and domestic labour have become commodified within global capitalist processes.
  • Júlia Rosell Saldaña, “Liquid Ties: How Consumer Capitalism Undermines Human Relationships,” 2024. Explores how consumer capitalism reshapes emotional bonds into disposable interactions governed by efficiency, self‑optimization, and symbolic profit.
  • Eva Illouz, Cold Intimacies: The Making of Emotional Capitalism — analysis of how capitalism reorganises emotional life, turning feelings into marketable commodities.
  • Eva Illouz, Why Love Hurts: A Sociological Explanation — on how capitalist structures produce emotional insecurity, loneliness, and commodified desire.
  • Arlie Russell Hochschild, The Managed Heart — foundational text on emotional labour and the commodification of affect.

Digital Capitalism, AI Companionship, and Synthetic Intimacy

  • Sherry Turkle, Alone Together: Why We Expect More from Technology and Less from Each Other — critical analysis of how digital technologies simulate intimacy while deepening social isolation.
  • Natasha Schüll, Addiction by Design — while focused on gambling machines, provides essential insights into algorithmic manipulation of human desire relevant to AI companion apps.
  • Jesse Fox & Wai Yen Tang, “Sexualization, Objectification, and Digital Companionship: The Rise of AI Partners,” Journal of Digital Social Research (2023) — on the psychological and social implications of AI “partners.”
  • Rob Brooks, Artificial Intimacy: Virtual Friends, Digital Lovers, and Algorithmic Matchmakers — overview of how AI reshapes intimacy, desire, and social bonds.

Historical and Sociological Context

  • Christopher Lasch, The Culture of Narcissism — on the psychological consequences of late capitalism, relevant to the rise of synthetic relationships.
  • Richard Sennett, The Fall of Public Man — analysis of the decline of public life and the privatisation of social existence.
  • David Harvey, A Brief History of Neoliberalism — essential for understanding the structural conditions (precarity, privatisation, atomization) that produce mass loneliness.
  • Silvia Federici, Caliban and the Witch — historical analysis of reproductive labour and the transformation of social bonds under capitalism.

Reports, Data, and Contemporary Analyses

  • OECD, Loneliness in the 21st Century (2021–2024) — statistical data on rising loneliness across advanced capitalist societies.
  • UNESCO, AI and Society reports — on ethical, social, and psychological impacts of AI companionship technologies.
  • MIT Technology Review, investigative pieces on AI companion apps and synthetic relationships (2022–2026).

Suggested Additional Reading

WSWS Editorial Board, analyses on social atomization, digital capitalism, and the crisis of social reproduction.

Neil Davidson, How Revolutionary Were the Bourgeois Revolutions? — for grounding your historical method.

Raphael Samuel, Theatres of Memory — on the social construction of experience and the erosion of communal life.


[1] AI vaginas, customisable personalities and fake bruises: the sex doll market is booming. Does it matter how the dolls are treated?- http://www.theguardian.com/lifeandstyle/2026/aug/30/sex-doll-market-booming-ai-vaginas-customisable-personalities-fake-bruises