Mariana Mazzucato — On AI
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Contents
Cover Foreword About Chapter 1: The Myth of the Garage Chapter 2: Public Risk, Private Reward Chapter 3: The Training Data as Public Good Chapter 4: The Democratization Paradox Chapter 5: Who Deserves What Chapter 6: Mission-Oriented Innovation and the Direction of AI Chapter 7: Value Creation and Value Extraction Chapter 8: Institutional Design for a Fair Transition Chapter 9: The Entrepreneurial State and the Architecture of Return Chapter 10: The Public Purpose Epilogue Back Cover
Mariana Mazzucato Cover

Mariana Mazzucato

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 Mariana Mazzucato. It is an attempt by Opus to simulate Mariana Mazzucato'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

The number that made me flinch was not about artificial intelligence. It was about Siri.

Mariana Mazzucato
Mariana Mazzucato

Siri — the voice assistant that Apple unveiled in 2011 as a flagship feature of the iPhone 4S, the product that cemented Apple's reputation as the most innovative company on Earth. Siri was a DARPA project. Funded by the Defense Advanced Research Projects Agency, developed at the Stanford Research Institute with public money, spun out as a startup, and acquired by Apple twenty-four months before launch. The touchscreen beneath Siri was developed at publicly funded laboratories. The GPS that told Siri where you were standing came from a twelve-billion-dollar constellation of military satellites. The internet that carried Siri's queries to Apple's servers was built by the Department of Defense.

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11 chapters
WIKI COMPANION

Mariana Mazzucato — On AI

A reading-companion catalog of the 22 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Mariana Mazzucato — On AI uses as stepping stones for thinking through the AI revolution.

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Joseph Stiglitz
Further Reading From The You On AI Encyclopedia · Related Thinkers for Mariana Mazzucato — On AI
12 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
Joseph Stiglitz
Joseph Stiglitz
Stiglitz's work on market failures, inequality, and the price of inequality is a direct intellectual companion to Mazzucato's distributional analysis.
Karl Polanyi
Karl Polanyi
Polanyi's Great Transformation and the concept of the double movement between market and social protection underpins Mazzucato's critique of pure market allocation.
Daron Acemoglu
Daron Acemoglu
Acemoglu's work on inclusive vs. extractive institutions and automation's impact on labor directly informs Mazzucato's distributional framework.
Thorstein Veblen
Thorstein Veblen
Veblen's analysis of absentee ownership and sabotage of production anticipates Mazzucato's value extraction critique.
John Maynard Keynes
John Maynard Keynes
Keynes's model of active government investment as market-maker and Minsky's financial instability hypothesis ground Mazzucato's entrepreneurial state concept.
Mariana Mazzucato
Mariana Mazzucato
The subject of this book — her entire intellectual project of reframing the state's role in innovation is what this text explicates.
Robert Reich
Robert Reich
Reich's analysis of the division of labor, the distribution of productivity gains, and worker power complements Mazzucato's labor chapter.
Rebecca Henderson
Rebecca Henderson
Henderson's work on reimagining capitalism and the role of institutions in redirecting corporate behavior aligns with Mazzucato's conditionality framework.
Shannon Vallor
Shannon Vallor
Vallor's work on technology ethics and the public purpose of AI provides the normative grounding that Mazzucato's economic analysis implies.
Tristan Harris
Tristan Harris
Harris's analysis of attention extraction and platform design for engagement over wellbeing exemplifies Mazzucato's value extraction in the consumer AI economy.
Silvia Federici
Silvia Federici
Federici's analysis of enclosure, unpaid labor, and the commons provides historical depth to Mazzucato's training data commons argument.
Richard Florida
Richard Florida
Florida's work on the creative economy and the geography of innovation inequality resonates with Mazzucato's distributional analysis of who captures AI returns.

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