Joshua Gans
Economist, Rotman School of Management, University of Toronto
Signed the letter · Academia · Canada
Economist at the Rotman School of Management, University of Toronto, where he holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship. Co-author, with Ajay Agrawal and Avi Goldfarb, of 'Prediction Machines: The Simple Economics of Artificial Intelligence' (2018) and 'Power and Prediction: The Disruptive Economics of Artificial Intelligence' (2022). Chief economist of the Creative Destruction Lab. Author of 'The Microeconomics of Artificial Intelligence' (MIT Press, 2025). PhD in economics from Stanford University. Signed the wemustactnow.ai open letter.
AI-written Documented facts only, from the sources below.
31 works in the co-authorship map · 3,059 citations across them
Sources
- Joshua Gans - Wikipedia
- Joshua Gans - Rotman School of Management, University of Toronto
- The Microeconomics of Artificial Intelligence
- “Signed the wemustactnow.ai open letter” — source
In the network
10 co-authors on the map · PageRank #16 of 400 · bridge #12 of 400 · 2 steps from Erik Brynjolfsson · cluster: Economics of prediction and innovation.
Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Joshua Gans on the map
Documented positions
Will AI actually boost productivity and growth? agrees
Co-author of the 'prediction machines' view: AI is a general-purpose technology with substantial economic upside.
Will AI destroy more jobs than it creates? it's complicated
Titles his analysis 'the ambiguous labor market impact of automating prediction' — displacement and augmentation both plausible.
Will AI widen inequality? unknown
No documented evidence reviewed yet.
Should governments act on AI now? it's complicated
Argues AI policy should balance enabling diffusion against specific harms, warning against reflexive restriction.
How fast will the impact arrive? unknown
No documented evidence reviewed yet.
Selected work
- Prediction Machines: The Simple Economics of Artificial Intelligence
- Power and Prediction: The Disruptive Economics of Artificial Intelligence
- The Microeconomics of Artificial Intelligence
- But I Like Doing This! Enjoyable Tasks, Contracting, and Automation
In the research collection - Endogenous Task Bundling, Skills and Automation
In the research collection - Training Your Replacement: Worker Incentives and the Pace of Automation
In the research collection - Liability and Pricing of Dual-Use AI
In the research collection
Writes with
Ajay Agrawal (8), Avi Goldfarb (8), Christian Catalini (2), Emilio Calvano (2), Susan Athey (2), Abhishek Nagaraj (1), Imke Reimers (1), Joel Waldfogel (1), Scott Duke Kominers (1), Scott Stern (1)
Co-authors on the map, by papers written together (10 of 10 shown).
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