Avi Goldfarb

Avi Goldfarb

Avi Goldfarb is a leading expert in the economics of artificial intelligence and digital marketing, currently serving as the Rotman Chair in Artificial Intelligence and Healthcare at the Rotman School of Management, University of Toronto. He is also Chief Data Scientist at the Creative Destruction Lab and a Research Associate at the National Bureau of Economic Research. Goldfarb received his Ph.D. in economics from Northwestern University.

He is co-author of the bestselling books Prediction Machines: The Simple Economics of Artificial Intelligence (2018) and Power and Prediction: The Disruptive Economics of Artificial Intelligence (2022), which explore the economic implications of AI technologies. His research has been widely published across various disciplines, including marketing, economics, and law, and has garnered significant attention from major media outlets such as The Economist and The New York Times.

Goldfarb has received accolades for his contributions to the field, including the INFORMS Society of Marketing Science Long Term Impact Award for his work on online advertising. He has also testified before the U.S. Senate Judiciary Committee on issues related to competition and privacy in digital advertising.

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  • Power and Prediction
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    By : Ajay AgrawalAvi GoldfarbJoshua Gans

    Power and Prediction: The Disruptive Economics of Artificial Intelligence

    Power and Prediction explores the profound transformation unleashed when prediction—once a human art—is mastered by machines, reshaping economies, industries, and the very fabric of decision-making. With incisive clarity, it reveals how the ability to foresee outcomes redefines value and power, challenging us to reconsider who holds control in a world governed by algorithms. As prediction becomes both a tool and a force, the book asks: How will our choices change when uncertainty itself can be quantified, anticipated, and commodified? This is an urgent inquiry into the future’s architecture, where insight and influence converge in unpredictable ways.

    • Originally Published: 2022
    • Publisher: Harvard Business Publishing, 2022
    • Genre: Non-fiction
    • Pages: 288
    • Book Type: Hardcopy
    • ISBN: 9781647824198
    • Access: Members