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9780262553544

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ENDORSEMENTS “The Microeconomics of Artificial Intelligence is a timely and important account of how economic insights can shed light on likely demand- and supply-side developments in AI, and on possible policy interventions (antitrust, privacy, intellectual property, misinformation). A must-read for scholars and for economics and management graduate and advanced undergraduate students interested in AI.” —Jean Tirole, 2014 Nobel Laureate, TSE & IAST Honorary Chairman, Toulouse School of Economics “Professor Gans examines the relationship between AI prediction and economic decision, along with some side trips into digital policy. As he demonstrates, this combination is highly productive and well worth careful study.” —Hal Varian, Professor Emeritus, University of California, Berkeley; former Chief Economist, Google “This is a much-needed book. There is immense interest in AI from economists, but as of yet they lacked a rigorous textbook to help inform them about what the economics of AI looks like. This beautifully written book fills that gap and I suggest anyone who is a trained economist and is interested in AI buys it.” —Catherine Tucker, Distinguished Professor, MIT Sloan School of Management “The Microeconomics of Artificial Intelligence serves as a comprehensive textbook that delves into the transformative impact of artificial intelligence through the lens of microeconomic theory. With clear explanations, rigorous analysis, and real-world examples, it provides students and educators with the essential tools to understand how AI is reshaping economic behaviors, markets, and decision-making. This text is a vital resource for anyone studying the intersection of AI and economics.” —Steve Tadelis, Professor and Sarin Chair in Strategy and Leadership, University of California, Berkeley

Author Information

Joshua Gans is Professor of Strategic Management and holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the University of Toronto's Rotman School of Management. He is the author of The Disruption Dilemma (MIT Press) and other books, and coauthor of Prediction Machines and Innovation + Equality (MIT Press).

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