







Taking issue with Benanav’s institutional vision of a democratic political economy of technology, Morozov argues that generative AI exposes a deeper problem that socialism has yet to solve: how to…
Automate the C-Suite - The Ideas Letter
Weatherby argues that Benanav’s and Morozov’s essays on AI and the left miss a deeper reality: Today’s AI is not a neutral tool operating within capitalism but the materialization of…

The Folly of Technological Solutionism: An Interview with Evgeny Morozov - Public Books
Evgeny Morozov, a former denizen of the technology world, gained notoriety as a skeptic of that world with his 2010 book The Net Delusion, in which he argued that technology enthusiasts or “cyber ...

A Real Political Economy of Technology - The Ideas Letter
Two technological futures are competing for political and material priority: generative AI and the green transition. Benanav argues that while AI is marketed as a world-reordering breakthrough, its productivity gains…

AI and the techno-utopian path not taken
Open access // by Evgeny Morozov (Le Monde diplomatique - English edition, August 2024)

An exploration on what could be a leftist position on generative AI - Jacky Alciné
As a Black software engineer and leftist in the United States, I contend with the notion that generative artifical intelligence can be used in a materialistic way that moves the needle forward for progress without intrenching the power of capitalists and business folks who are adamant on exacerbating existing calamities within the technology sector.
From the Platform Society to the AI Society: Towards Critical Studies of Generative AI
The era of AI has begun. Generative AI is rapidly reshaping knowledge production, culture, and political authority, giving rise to an emerging AI society. Yet this transformation did not emerge ex nihilo. This paper argues that the AI society can only be understood in relation to the platform society from which it arises. Tracing the transition from platforms to AI, we identify interlinked economic, epistemic, and political shifts. Economically, AI emerges within platform-based rentier capitalism but reconfigures the monopoly mechanisms on which its accumulation depends. Epistemically, LLMs mark a shift from predictive to generative epistemics, entangling theory formation and knowledge production with private research-as-a-service infrastructures. Politically, governance shifts from data politics to alignment politics: from shaping visibility to shaping what can be said, thought, and imagined. Together, these transformations signal a qualitative shift in mediation—from governing interaction to governing cognition itself—and call for a Critical AI Studies.
Separating AI’s Technological Problems From its Capitalism Problems
Nathan E. Sanders and Bruce Schneier say integrating a technology as disruptive as AI responsibly requires deep structural reforms.

Bernie Sanders has AI policy all wrong
His criticisms are responding to industry hype, not the real harms of generative AI

What we can’t measure about AI – yet | Aeon Essays
The costs of transformative innovations are immediately clear: it’s the longterm gains that are hardest to understand

Building Political Superintelligence
Amidst fears of dystopia, a blueprint for how we use AI to reinvent the way we govern ourselves

Amazon Created The Socialist Dream
Techno-capitalism, Crisis Epistemology, and Disaster Ableism: How (not) to Respond to Generative AI in Higher education (My presentation @ #PhiDisSocCh6)
Introduction Techno-capitalism is a social system dominated by technology-driven capital, in which technological development is a primary vehicle for wealth concentration. Professors are currently …

AI, Decomputing and the Interregnum
This paper treats AI as diagnostic for the deeper changes taking place in the existing order of things. It uses AI's alignment with both the political economy and with the dualisms that underpin it, including race, gender and anthropocentrism, to highlight the nihilistic character of the current restructuring. AI's scaling and accelerationism are taken as examples of the wider tactics being invoked by hegemonic power to maintain control under changing conditions. From this perspective, the massive build-out of data centres isn't simply a seizure of energy resources but a manifestation of an aggressive and misogynist technopolitics. The paper argues that a liberal push for digital sovereignty doesn't interrupt these dynamics but plays into the hands of emerging technofascism. It proposes instead the prefigurative tactic of 'decomputing', which draws on degrowth, deautomatisation and a convivial approach to technology. It explores decomputing as a means to mitigate both material and relational harms and as a decisive turn towards infrastructuring the common good. The paper concludes that AI is the contradiction that reveals many others, not least the gap between claims to legitimacy and the actuality of destructive violence, and proposes an alternative technopolitics of reciprocity that prioritises care and sustainability.
AI, Decomputing and the Interregnum
This paper treats AI as diagnostic for the deeper changes taking place in the existing order of things. It uses AI's alignment with both the political economy and with the dualisms that underpin it, including race, gender and anthropocentrism, to highlight the nihilistic character of the current restructuring. AI's scaling and accelerationism are taken as examples of the wider tactics being invoked by hegemonic power to maintain control under changing conditions. From this perspective, the massive build-out of data centres isn't simply a seizure of energy resources but a manifestation of an aggressive and misogynist technopolitics. The paper argues that a liberal push for digital sovereignty doesn't interrupt these dynamics but plays into the hands of emerging technofascism. It proposes instead the prefigurative tactic of 'decomputing', which draws on degrowth, deautomatisation and a convivial approach to technology. It explores decomputing as a means to mitigate both material and relational harms and as a decisive turn towards infrastructuring the common good. The paper concludes that AI is the contradiction that reveals many others, not least the gap between claims to legitimacy and the actuality of destructive violence, and proposes an alternative technopolitics of reciprocity that prioritises care and sustainability.
Alt-Pop Trickster 1010Benja Is Not Scared to Admit He’s Using Generative AI
“If you have it broken down as organic versus AI, the AI is gonna win our world. The good guy doesn’t win this one.”

"The forces that are now shaping AI are the same forces that turned the open internet into monopolistic platforms, converted peer-to-peer participation into precarious labor, and enclosed the digital commons. They are now threatening to capture and enclose thought itself." osf.io/preprints/socarxiv/qahd3_v1/