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Ajay Agrawal is a professor of strategic management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto’s Rotman School of Management. He is founder of the Creative Destruction Lab and the co-founder of Next 36, Next AI, and Sanctuary. Agrawal conducts research on the economics of innovation and is a research associate at the National Bureau of Economic Research and faculty affiliate at the Vector Institute for Artificial Intelligence. He has authored several articles on the economics of machine intelligence and is a co-author of Prediction Machines, which was named a top technology book of 2018 by Forbes. He lives in Toronto. 

Award History

2023 Finalist

Balsillie Prize for Public Policy
for Power and Prediction: The Disruptive Economics of Artificial Intelligence

Jury Citation

“Artificial intelligence has long been heralded as a transformative technology, one that will upend entire industries and economies. However, achieving AI’s full potential requires a systemic rewiring of our economic and political infrastructure. In their latest book, Power and Prediction, Ajay Agrawal, Joshua Gans, and Avi Goldfarb unpack the barriers throttling adoption of this technology and make a compelling case for a “system mindset,” one where policy makers must fundamentally retool systems and structures to truly accommodate the coming AI revolution.”

—2023 Balsillie Prize for Public Policy Jury (Samantha Nutt, Taki Sarantakis, and Scott Young)