Joshua Gans

Joshua Gans

Joshua Gans is a prominent economist and professor at the Rotman School of Management at the University of Toronto, where he holds the Jeffrey S. Skoll Chair in Technical Innovation and Entrepreneurship. He has a cross-appointment in the Department of Economics and serves as Chief Economist at the Creative Destruction Lab. Before joining Rotman in 2011, Gans was a foundation professor at the Melbourne Business School and previously taught at the University of New South Wales.

Gans earned his Ph.D. in economics from Stanford University and an honors degree in economics from the University of Queensland. His research focuses on innovation, digital strategy, competition policy, and intellectual property. He has authored several influential books, including Power and Prediction: The Disruptive Economics of Artificial Intelligence (2022), Prediction Machines: The Simple Economics of Artificial Intelligence (2018) and The Disruption Dilemma (2016), along with numerous articles published in leading economics journals.

Recognized for his contributions to the field, Gans received the Economic Society of Australia’s Young Economist Award in 2007 and was elected a Fellow of the Academy of Social Sciences in Australia in 2008. He also serves as an associate editor for Management Science and is actively involved in consulting on economic issues related to technology and competition.

  • Economics, Innovation
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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