Joel Mokyr — On AI
TXTLOWMEDHIGH
Contents
Cover Foreword About Chapter 1: The Industrial Enlightenment and Its Computational Heir Chapter 2: Useful Knowledge and the Cost of Access Chapter 3: The Macro-Invention That Changed the Interface Chapter 4: The Micro-Inventions That Will Follow Chapter 5: The Prescriptive Knowledge Revolution Chapter 6: Why Institutions Determine Everything Chapter 7: The Distribution Question — Who Captures the Gains? Chapter 8: The Skill Premium and Its Inversion Chapter 9: The Creativity Premium in a World of Abundant Execution Chapter 10: The Growth of Useful Knowledge in the Age of the Amplifier Epilogue Back Cover
Joel Mokyr Cover

Joel Mokyr

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 Joel Mokyr. It is an attempt by Opus to simulate Joel Mokyr'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 cost that nobody talks about is not the cost of the tool. It is the cost of reaching the tool.

One hundred dollars a month for Claude Code. That number sits in this book like a beacon — proof that the frontier is accessible, that the democratization is real, that anyone with an idea and a subscription can build. I believe that. I have seen it happen in a room in Trivandrum, watched engineers cross boundaries that had defined their careers for decades, watched capability expand in ways that made me want to call everyone I knew and tell them what was possible.

Industrial Enlightenment
Industrial Enlightenment

But there is a different cost, older and more stubborn, that the subscription price conceals. The cost of knowing what to ask for. The cost

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11 chapters
WIKI COMPANION

Joel Mokyr — On AI

A reading-companion catalog of the 15 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Joel Mokyr — On AI uses as stepping stones for thinking through the AI revolution.

Open the Wiki Companion →
Adam Smith
Further Reading From The You On AI Encyclopedia · Related Thinkers for Joel Mokyr — On AI
12 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
Adam Smith
Adam Smith
Smith's division of labor is Mokyr's prescriptive knowledge division made institutional — the specialization that first created the gap between propositional understanding and practical application, and the pin factory as the original channel problem.
Joseph Schumpeter
Joseph Schumpeter
Schumpeter's creative destruction is the macro-invention/micro-invention cycle seen from the entrepreneur's perspective — the LLM as the gale that commoditizes yesterday's skills while creating tomorrow's premium.
Douglass North
Douglass North
North's institutional analysis of economic history is Mokyr's closest intellectual sibling — both argue that institutions determine whether technological capability produces broad benefit, and North's transaction-cost framework maps directly onto Mokyr's conversion-cost vocabulary.
Michael Polanyi
Michael Polanyi
Polanyi's tacit knowledge is the concept Mokyr's prescriptive-knowledge framework most directly engages — the surgeon's feel for tissue and the teacher's intuition are precisely the tacit dimensions that resist conversion-cost reduction.
Herbert Simon
Herbert Simon
Simon's bounded rationality and satisficing explain why the humans living through the skill-premium inversion do not simply adopt the new skills — the cognitive and institutional costs of adaptation are the real constraint Mokyr's framework names.
Carlota Perez
Carlota Perez
Perez's technological surges and installation/deployment distinction maps Mokyr's macro/micro-invention pattern onto a financial and institutional framework — the deployment period when broad prosperity is achieved depends on institutional restructuring.
Daron Acemoglu
Daron Acemoglu
Acemoglu's work on inclusive vs. extractive institutions and the direction of technological change provides the political-economy complement to Mokyr's cultural analysis — why some societies build the institutions that distribute technological gains.
Erik Brynjolfsson
Erik Brynjolfsson
Brynjolfsson's productivity paradox and the race between machines and human skills is the contemporary data set that validates Mokyr's historical pattern — the lag between macro-invention and productivity gains has a structural explanation.
Ha-Joon Chang
Ha-Joon Chang
Chang's institutional economics challenges the assumption that the market alone will distribute AI's gains — his analysis of industrial policy and development strategy provides the counter-model to the channel's-mouth concentration Mokyr warns against.
Elinor Ostrom
Elinor Ostrom
Ostrom's commons governance shows that communities can build institutions to manage shared resources without either privatization or state control — a model for the knowledge commons that Mokyr's framework needs but doesn't specify.
Mariana Mazzucato
Mariana Mazzucato
Mazzucato's entrepreneurial state and mission-oriented innovation policy is the institutional response Mokyr's framework calls for but cannot specify — the public investment that built the Internet and now needs to build the AI infrastructure for broad access.
David Landes
David Landes
Landes's The Wealth and Poverty of Nations is Mokyr's primary interlocutor in the debate about why industrial capitalism emerged in Europe — the cultural and institutional conditions that made the Industrial Enlightenment possible.

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