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"It's a must read for economists; it forces us to think more deeply about the essence of AI and its connection to prediction. And it's a must read for the public who need to know the enormous dangers the old/new AI poses to our own and our children's economic futures and freedoms." — Journal of Economic Literature

Advance Praise for Prediction Machines:

"What does AI mean for your business? Read this book to find out." — Hal Varian, Chief Economist, Google

". . . framing AI in terms of its predictive capabilities is not only a realistic portrayal of its capabilities today, but also one that business leaders can both understand and act upon. For that alone the book is worth reading." — Forbes

"This book, written by three brilliant minds from the University of Toronto, is invaluable for business leaders looking for a primer on how AI might impact them." — Business Insider

"A must-read for business leaders who need to know where AI is heading and how best to harness the new technology." — Journal of Economic Literature

"Prediction Machines does a good job of showing where computers work best and where humans still have an edge." — the New York Times

". . . a useful way to look at the fast-changing world of machine learning . . ." — the Financial Times

"Consider it a CEO guide to parsing and prioritizing AI opportunities." — McKinsey Quarterly

"Prediction Machines provides a very accessible and high-level overview of machine learning and the power and limits of the predictions provided by AI algorithms. The book is a must-read for business leaders and executives." — TechTalks

"The authors . . .offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead." — BlackRock Investment Management

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