Avi Goldfarb
Avi Goldfarb is an economist who explains how AI prediction changes business decisions and labor. He earned economics degrees at Queen’s University and Northwestern, and his online advertising research won an INFORMS award. With Ajay Agrawal and Joshua Gans, he co-authored Prediction Machines (2018) and Power and Prediction (2022), and he examined how AI could make uncertainty visible in refugee claim decisions. As of October 2026, he is Rotman Chair in Artificial Intelligence and Healthcare, Professor of Marketing, and Director of Partnerships at the Sandra Rotman Centre for Health Sector Strategy.
- Now at
- University of Toronto, Sandra Rotman Centre for Health Sector Strategy, Creative Destruction Lab, Acceleration Consortium and National Bureau of Economic Research
- Works
- 250
- Citations
- 19,697
- h-index
- 59
Publication numbers from OpenAlex, as of 18 October 2026.
Timeline
-
1997–2002
Studying economics
He earns a B.A. in economics from Queen’s University in 1997 and a PhD in economics from Northwestern University in 2002.
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2018
An online advertising award
His online display advertising paper with Catherine Tucker receives the 2018 INFORMS Long Term Impact Award.
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2018
Prediction Machines
With Ajay Agrawal and Joshua Gans, he co-authors Prediction Machines in 2018, explaining how cheaper AI prediction changes the value of human judgment and action.
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2019
AI prediction and labor
With Ajay Agrawal and Joshua Gans, he explains in a 2019 NBER paper how automating prediction can affect labor, distinguishing automated decisions from AI that helps people decide.
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2020
AI and refugee claims
With Hilary Evans Cameron, he explores in 2020 how machine learning could make uncertainty visible to refugee claim decision-makers.
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2022
Power and Prediction
With Ajay Agrawal and Joshua Gans, he publishes Power and Prediction: The Disruptive Economics of Artificial Intelligence in 2022, examining how AI prediction affects business decisions.
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As of October 2026
AI and management judgment
In September 2026, he co-authors a Rotman article arguing that management becomes more important as AI improves. As of October 2026, he is Rotman Chair in Artificial Intelligence and Healthcare, Professor of Marketing, and Director of Partnerships at the Sandra Rotman Centre for Health Sector Strategy. He also serves as Chief Data Scientist at the Creative Destruction Lab, research lead at the Acceleration Consortium, and Research Associate at the National Bureau of Economic Research.
Career
- Since 2021Creative Destruction LabChief Data Scientist
- Since 2002University of TorontoRotman Chair in Artificial Intelligence and Healthcare
- Since 2002National Bureau of Economic ResearchResearch Associate
- NowSandra Rotman Centre for Health Sector StrategyDirector of Partnerships
- NowAcceleration ConsortiumResearch Lead
- 2013–2017University of California, Berkeley
- 2002–2009Carnegie Mellon University
Education
- 2002Northwestern UniversityPhD in economics
- 1997Queen's UniversityB.A. in economics
Most-cited works
Sources and credits
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- Avi Goldfarb | HCEO
- Research by Rotman School Marketing faculty honored for long term impact
- Prediction Machines: The Simple Economics Of Artificial Intelligence
- Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction | NBER
- 'Making uncertainty visible': U of T researcher says AI could help avoid improper denial of refugee claims | University of Toronto
- Books — AVI GOLDFARB
- Books — AVI GOLDFARB
- introduction | Rotman School | University of Toronto
- Goldfarb Avi | Rotman School | University of Toronto




