Brian Jabarian
Brian Jabarian is an Assistant Professor of Economics and Technology at the Heinz College of Information Systems and Public Policy, with a courtesy affiliation in the School of Computer Science at Carnegie Mellon University.
Jabarian studies the social and economic impacts of AI and how our institutions should respond to them. His research builds new empirical infrastructures to measure AI’s real-world impacts and designs evidence-based AI policies. He combines large-scale field experiments, simulations, and prediction markets, often through research partnerships with organizations deploying frontier AI systems.
His work on the social and economic impacts of AI has received competitive research grants from leading institutions, including Schmidt Sciences, Google, Microsoft, and the Becker Friedman Institute. He is currently an Inaugural Google AI & Economy Fellow, a Microsoft AI Economy Institute Senior Fellow, an Invited Researcher with J-PAL’s Project AI Evidence (PAIE), and a Stigler Fellow at the University of Chicago Booth School of Business.
His research has appeared in leading academic journals such as Nature Human Behaviour, has been covered by major media outlets including the Wall Street Journal, Washington Post, Financial Times, Bloomberg, NPR, Planet Money, Forbes, and Fortune, and has been presented and discussed at policy institutions including the IMF, and World Bank, as well as at leading AI labs and technology companies including OpenAI, Microsoft, and Google.
Prior joining Carnegie Mellon University, Jabarian was the Howard and Nancy Marks Fellow at Chicago Booth. He holds a Ph.D. in Economics from the Paris School of Economics (2023) and a Ph.D. in Philosophy from Panthéon-Sorbonne University (2023).