Carl Shapiro — On AI
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Contents
Cover Foreword About Chapter 1: Technology Changes, Economic Laws Do Not Chapter 2: The Third Network Effect Chapter 3: The Lock-In No One Chose Chapter 4: The Lemons Problem of Polished Output Chapter 5: Versioning the Amplifier Chapter 6: The Death Cross as Value Migration Chapter 7: The Attention Deficit Chapter 8: Antitrust at the Speed of Tipping Chapter 9: Who Captures the Surplus Chapter 10: Building the Institutions Epilogue Back Cover
Carl Shapiro Cover

Carl Shapiro

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 Carl Shapiro. It is an attempt by Opus to simulate Carl Shapiro'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

By Edo Segal

Three dollars and forty-seven cents.

That is what it cost me, in API fees, to generate the first draft of a contract my lawyer would have billed four hours for. Twelve pages. Clean language. Standard clauses. My lawyer found two issues — a jurisdictional nuance and a liability provision that was technically correct but strategically unwise given the specific counterparty. Two catches out of twelve pages. Ninety-eight percent right, for less than the price of a coffee.

Three Dollars Forty Seven
Three Dollars Forty Seven

I did not fire my lawyer. But I understood, in the three minutes it took him to find those two problems, exactly what I was paying him for. Not the twelve pages. The two catches. The judgment. The thing the smooth output concealed.

That gap —

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11 chapters
WIKI COMPANION

Carl Shapiro — On AI

A reading-companion catalog of the 21 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Carl Shapiro — On AI uses as stepping stones for thinking through the AI revolution.

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Herbert Simon
Further Reading From The You On AI Encyclopedia · Related Thinkers for Carl Shapiro — On AI
11 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
Herbert Simon
Herbert Simon
Simon's foundational observation that information wealth creates attention poverty is the intellectual backbone of ch6. His bounded rationality framework also informs ch3's lemons problem analysis.
Hal Varian
Hal Varian
Varian co-authored Information Rules with Shapiro and later applied the framework to AI in a 2018 NBER paper. His Google chief-economist role makes him the bridge between Shapiro's theory and AI platform practice.
Elinor Ostrom
Elinor Ostrom
Ostrom's Nobel Prize-winning framework for governing common-pool resources provides the economic structure for ch6's argument about managing attention as a commons in AI-saturated work environments.
Joseph Schumpeter
Joseph Schumpeter
Schumpeter's creative destruction framework is the background against which Shapiro's value-migration analysis plays out — the Death Cross is Schumpeterian destruction accelerated by AI.
Michael Porter
Michael Porter
Porter's competitive strategy framework — particularly the five forces model and the concept of sustainable competitive advantage — provides context for ch5's analysis of ecosystem value as the new moat.
Ronald Coase
Ronald Coase
Coase's transaction cost economics underlies Shapiro's analysis of why firm boundaries and market structures shift when AI compresses production costs — the AI transition is a Coasean boundary shift.
Joseph Stiglitz
Joseph Stiglitz
Stiglitz's work on information asymmetries and market failures is the direct intellectual parent of Shapiro's lemons-problem analysis in ch3 and the surplus-distribution concerns in ch8.
Clayton Christensen
Clayton Christensen
Christensen's disruptive innovation framework is the dominant alternative lens for reading the Death Cross — Shapiro's commoditization analysis and Christensen's disruption theory converge on the same AI moment.
Daniel Kahneman
Daniel Kahneman
Kahneman's dual-process theory illuminates why cognitive lock-in is so resistant to rational deliberation — the fast System 1 habits that AI builds are exactly the switching costs that neither portability mandates nor interoperability requirements can address.
Daron Acemoglu
Daron Acemoglu
Acemoglu's work on institutions and economic growth, and his recent scholarship on AI and labor, provides the distributional framework that Shapiro's economic analysis needs to answer the surplus question in ch8.
Peter Drucker
Peter Drucker
Drucker's knowledge worker framework is the background against which Shapiro's analysis of identity lock-in becomes sharpest — the knowledge worker whose professional identity was built through mastery faces the deepest form of AI lock-in.

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