"Concise, chatty, companionable, ever-so-savvy... The first three pages should sell you on this one... having covered AI from the jump, this is as good as it gets."
—Paul Solman, (very) longtime Business & Economics Correspondent, PBS News Hour
What can a kangaroo teach you about job security?
Through vivid, often surreal stories, AI Economics reveals how technology is reshaping our world. You will discover:
In AI Economics, an eminent economist draws on decades of research to reveal how these forces are reshaping our world, and offers a practical map for what comes next. From why self-driving cars might need literal bulletproofing to why "going data nude" could actually lead to a better society, this book unpacks the urgent realities taking shape right now.
"This book represents the best in bringing real research to understand what is happening in our current AI-moment. ... An easy and informative read."
—Joshua Gans, University of Toronto, author of Prediction Machines and The Microeconomics of Artificial Intelligence
"AI Economics... brings a lively economic perspective to analyzing how AI will transform our lives. The book is informative and fun to read."
—Joel Waldfogel, University of Minnesota, author of Scroogenomics and Digital Renaissance
A NOTE ON HOW THIS BOOK WAS WRITTEN
To write a book about the AI disruption without using AI would be like writing a history of the printing press by hand-scribing it. However, efficiency does not replace quality or humanity:
The result is a book that is not just an analysis of the future, but a proof-of-concept for it.
TABLE OF CONTENTS
Foundations
1. Is the Future Written in Code or Cash?
Part One: The Upheaval
2. Job Extinction Event
3. How Can You Avoid the Job Apocalypse?
4. The Education Rip-Off
5. Total Inequality
6. Is AI Going to Kill Us All (Eventually)?
Part Two: The Panopticon
7. Data Nudity
8. Involuntary Exposure
9. Psychic Pricing
Part Three: The Dispossession
10. Digital Serfdom
11. The Savvy Consumer Delusion
12. Confuse & Conquer?
13. The New Economics of Deception
Part Four: The Process
14. Should Most E-Books Be Free?
15. The "Stupid" Genius?
Conclusion
16. Three Rules for Surviving the AI Age
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Benjamin Shiller is an Associate Professor of Economics at Brandeis University, a CESifo research affiliate, and a leading expert on the economics of technological change. His research- spanning self-driving vehicles, personalized pricing, data privacy, and digital distribution-has been featured in The Economist, The Washington Post, Forbes, The Atlantic, and other major outlets, and has informed White House Policy Reports. He holds a Ph.D. from The Wharton School and has previously held positions at Harvard Business School and the National Bureau of Economic Research's Economics of Digitization Program.
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