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Power and Prediction: The Disruptive Economics of Artificial Intelligence

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Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.

Artificial intelligence (AI) has impacted many industries around the world--banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.

What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions.

This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time--many industries are in the quiet before the storm--but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions.

Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

Authors: Gans Joshua, Agrawal Ajay, Goldfarb Avi
Publisher: HARVARD BUSINESS REVIEW
Pages: 288
ISBN: 9781647824198
Cover: Hardback
Edition Number: 1
Release Year: 2022

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), Prediction Machines, and other books.

Andrew Leigh is a Member of the Australian House of Representatives, a former economics professor, and author of Battlers and Billionaires, Randomistas and other books.

Ajay Agrawal is the Geoffrey Taber Chair in Entrepreneurship and Innovation and Professor of Strategic Management at the University of Toronto’s Rotman School of Management. In addition, he is a Research Associate at the National Bureau of Economic Research in Cambridge, MA and Faculty Affiliate at the Vector Institute for Artificial Intelligence in Toronto, Canada.

Professor Agrawal is founder of the Creative Destruction Lab (CDL), a not-for-profit program for early-stage, science-based companies. CDL’s mission is to enhance the commercialization of science for the betterment of humankind. CDL operates sites at five Canadian universities as well as at the University of Oxford, HEC Paris, Georgia Tech, University of Wisconsin-Madison, The University of Washington, ESMT Berlin, and The University of Tartu in Estonia.

Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. Avi’s research focuses on the opportunities and challenges of the digital economy. This work has been discussed in White House reports, Congressional testimony, European Commission documents, the Economist, the Globe and Mail, National Public Radio, the Atlantic, the New York Times, the Financial Times, the Wall Street Journal, and elsewhere. He holds a PhD in economics of Northwestern University.

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