BIOGRAPHY CARD

Current Positions
Assistant Professor of Economics and Technology, Carnegie Mellon University
Heinz College of Information Systems and Public Policy (tenure-track)
The School of Computer Science (by courtesy)

I am an economist studying the social and economic impacts of AI and our institutional responses to these transformations. My research builds new empirical infrastructures to measure AI’s real-world impacts and design evidence-based AI policies. To build these infrastructures, I rely on large-scale field experiments and surveys, AI simulations, and prediction markets as measurement instruments and develop academic-industry partnerships (including research programs and teams) with organizations deploying frontier AI systems (Agentic Hiring).

I received my Ph.D. in economics from the Paris School of Economics and my Ph.D. in philosophy from the Sorbonne, both in 2023. My work has been funded by diverse research grants and unrestricted research gifts, covered by leading media outlets, and published in leading academic journals.

Selected Awards & Fellowships
Google, Inaugural AI & Economy Researcher
Microsoft AI Economy Institute, Senior Fellow
J-PAL, Partnership for AI Evidence, Invited Researcher
Stigler Center, Affiliate Fellow
Chicago Booth, Thaler-Tversky Independent Research Award

Research Interests & Areas
Behavioral & Experimental Economics; Economics of AI;

Digital Economy and Information Systems; Ethics of AI

Industry Partnerships & Research Programs
Agentic Hiring

Contact Information
jabarian@cmu.edu | Curriculum Vitae | Google Scholar

SELECTED RESEARCH

Choice as Signal: Designing AI Adoption in Labor Market Screening
with Pëllumb Reshidi
SSRN
Fast Company | Chicago Booth AI

Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews

with Luca Henkel
SSRN | Slides (short) | Slides (long) | Summary | NABE E. A. Mannis Prize | 2025 Thaler-Tversky Award
Bloomberg | The Information | HuffPost | Poets & Quant | Marginal Revolution | Fast Company | NPR | Booth Center for Applied AI (interview) | Business Insider | Financial Times | Fortune | Nasdaq | El Espectador | TF1 | Slate FR | National Affairs | see more

Artificial Writing and Automated Detection
with Alex Imas
SSRN | NBER | Replication Package
The Information | Marginal Revolution | Forbes | Chicago Booth Review | TechLearning | YC News | see more

AI Behavioral Science
with Matthew O. Jackson, Qiaozhu Mei, Stephanie W. Wang, Yutong Xie, Walter Yuan, Seth Benzell, Erik Brynjolfsson, Colin F. Camerer, James Evans, Jon Kleinberg, Juanjuan Meng, Sendhil Mullainathan, Asu Ozdaglar, Thomas Pfeiffer, Moshe Tennenholtz, Robb Willer, Diyi Yang, and Teng Ye
SSRN | ArXiv

The Next Generation of Experimental Research with LLMs
with Gary Charness and John List
Nature Human Behaviour, 2025
NBER | Teaching Slides
World Economic Forum | Chicago Booth Review | VoxEU Column