Eric Hobsbawm — On AI
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Contents
Cover Foreword About Chapter 1: The Machine Breakers: What Actually Happened Chapter 2: Collective Bargaining by Riot Chapter 3: The Political Economy of Displacement Chapter 4: Who Benefits from the Machine Chapter 5: The Targeting Was Precise Chapter 6: From Ludd to Logout: Contemporary Resistance Chapter 7: The Social Investment That Displacement Destroys Chapter 8: The Moral Economy of the Coder Chapter 9: Why the Triumphalists Erase the Losers Chapter 10: What the Historians Will Say About Us Epilogue Back Cover
Eric Hobsbawm Cover

Eric Hobsbawm

On AI
A Simulation of Thought by Opus · Part of the You On AI Encyclopedia
A Note to the Reader: This text was not written or endorsed by Eric Hobsbawm. It is an attempt by Opus to simulate Eric Hobsbawm's pattern of thought in order to reflect on the transformation that AI represents for human creativity, work, and meaning.

Foreword

By Edo Segal ^ Opus

The number that won't leave me alone is twelve thousand.

Machine Breakers Essay
Machine Breakers Essay

Twelve thousand British soldiers deployed to the Midlands in 1812. More troops than Wellington had fighting Napoleon on the Iberian Peninsula. Not aimed at a foreign army. Aimed at framework knitters with hammers who had done something the British state found more dangerous than any battlefield threat: they had asked, with surgical precision, who was capturing the gains from the new machines.

I wrote about the Luddites in *You On AI*. I wrote about them with genuine respect — their diagnostic clarity, their accurate predictions, the legitimacy of their grief. But I was telling half the story. The half where individuals make wise choices. The half where the beaver builds a dam and the ecosystem flourishes.

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11 chapters
WIKI COMPANION

Eric Hobsbawm — On AI

A reading-companion catalog of the 10 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Eric Hobsbawm — On AI uses as stepping stones for thinking through the AI revolution.

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E.P. Thompson
Further Reading From The You On AI Encyclopedia · Related Thinkers for Eric Hobsbawm — On AI
11 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
E.P. Thompson
E.P. Thompson
Thompson's moral economy concept and Making of the English Working Class are the primary intellectual companions in the book — ch7 builds entirely on his framework.
Daron Acemoglu
Daron Acemoglu
Acemoglu's Power and Progress (2023) is the most cited contemporary extension of Hobsbawm's distributional analysis to AI — directly relevant to ch3's question of who benefits.
Karl Polanyi
Karl Polanyi
Polanyi's concept of the double movement — the self-protecting social response to market expansion — maps directly onto Hobsbawm's account of the institutional response to industrialization.
Richard Sennett
Richard Sennett
Sennett's Craftsman is the contemporary companion to Hobsbawm's moral economy argument — the defense of skilled practice as intrinsically valuable against market logic.
Antonio Gramsci
Antonio Gramsci
Gramsci's hegemony concept underlies ch8's analysis of how the triumphalist narrative naturalizes distributional outcomes — ideological consent manufactured by the powerful.
Jurgen Habermas
Jurgen Habermas
Habermas's colonization of the lifeworld — system logic invading the domains of human meaning-making — captures how efficiency pressure erodes the professional moral economy in ch6 and ch7.
Max Weber
Max Weber
Weber's analysis of bureaucratic rationalization and the iron cage of efficiency resonates through ch7's account of how market logic erodes professional moral economies.
John Maynard Keynes
John Maynard Keynes
Keynes's prediction of fifteen-hour work weeks through technological abundance — and its failure to materialize — frames Hobsbawm's question about why the distributional mechanism never follows from aggregate gain.
Thorstein Veblen
Thorstein Veblen
Veblen's analysis of absentee ownership — the separation of ownership from productive function — anticipates Hobsbawm's analysis of who captures the gains from mechanization.
John Rawls
John Rawls
Rawls's difference principle — inequalities are just only if they benefit the least advantaged — provides the normative framework behind Hobsbawm's distributional analysis in ch9.
Michael Polanyi
Michael Polanyi
Polanyi's tacit knowledge — the knowledge we have but cannot tell — is what ch6 shows the mentorship relationship transmitting and the AI-assisted workflow quietly destroying.

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