The sixth interview of the series features Martin Ford (Futurist and Author), Carl Benedikt Frey (University of Oxford), & Joshua Gans (University of Toronto), who will discuss how technological progress has historically and is currently affecting our economy, especially focusing on the labour-market. Will this be different for the currently disruptive technologies, especially AI and robotics, and if so, how? How should we interpret predictions about future progress in AI, such as when we’ll have self-driving cars? What can we learn about history and models from how AI and robotics will change our economy and labour-market? What should we change in our economics education related to this topic? This interview was recorded on 10th of September 2020. All dates referring to “next year” refer to 2021. Our website with all previous interviews: YouTube: Anchor: Breaker: Google Podcasts: Apple Podcasts: Spotify: Pocket Casts: RadioPublic: Overcast:
Speaker: JOSHUA GANS, Jeffrey S. Skoll Chair in Technological Innovation & Entrepreneurship, Rotman School of Management; Author Topic: “Prediction Machines: The Simple Economics of Artificial Intelligence” (HBR Press, 2018 co-written by A. Agrawal, J, Gans, A. Goldfarb) 20th Annual Rotman Lifelong Learning Conference June 1, 2018 Located in downtown Toronto and part of the University of Toronto, the Rotman School of Management ( is the top business school in Canada. Rotman offers a Full-Time MBA program, and several programs for working professionals, including the Morning and Evening MBA, Master of Finance, One-Year Executive MBA and Omnium Global Executive MBA. Whichever degree or program you choose, Rotman will give an edge in your career and help you make the most of your potential. #Rotman #RotmanSchool
How are we supposed to think about Machine Learning? How are businesses going to change? This week I interview Joshua Gans, Professor of Strategic Management at the Rotman School of Business at the University of Toronto and the Chief Economist at the University’s Creative Destruction Lab. Joshua is the co-author, along with Ajay Agarwal and Avi Goldfarb, of Prediction Machines: The Simple Economics of Artificial Intelligence.
Prediction Machines: The Simple Economics of Artificial Intelligence,” discusses how AI could help business professionals make better decisions. The Inc. Tank is hosted by The Ed Snider Center at the Robert H. Smith School of Business. You can also catch full episodes of The Inc. Tank at and on Spotify, Apple, Google Play and Stitcher.
Joshua Gans, Prediction Machines Joshua Gans is the author of Prediction Machines: The Simple Economics of Artificial Intelligence. He talks with Megan Morrone about how Artificial Intelligence is changing our economy. Download or subscribe to this show at