Assistant Professor of Economics and Technology, Carnegie Mellon University
Heinz College of Information Systems and Public Policy (tenure-track)
The Kenneth C. Griffin School of Computer Science (by courtesy)
I am an economist studying the human, social, and economic impacts of AI and how institutions should respond. My research examines how AI capabilities develop, whose interests AI systems serve, and how they change human behavior and decision-making. I draw on economic theory, philosophy, the humanities, and art to explore these questions, and respond by building empirical infrastructure and policy instruments.
Before joining Carnegie Mellon, I was the Howard and Nancy Marks Fellow at the University of Chicago Booth School of Business. I received a Ph.D. in economics from the Paris School of Economics and a Ph.D. in philosophy from the Sorbonne, both in 2023.
jabarian@cmu.edu | Curriculum Vitae | Scholar
Office 2118J | 5000 Forbes Ave, Hamburg Hall
Pittsburgh, PA 15213-3890
Selected Research
Et Tu, Brute? Economic Misalignment in Personal AI Agents (new!!!)
with Aman Priyanshu, Supriti Vijay, and Niloofar Mireshghallah
ArXiv
Bloomberg | Inc. | Fast Company
GUIDE: Generative Utility Inference and Decision Engine (new!!!)
with Anagha Tiwari, Alexander G. Gray, Nick Feamster, Alex Imas and Alex Kale
ArXiv
The Economics of Recursive Self-Improvement (new!!!)
with Tom Cunningham et al.
ArXiv | Elasticity Institute
Paradigm RSI Simulator | Hacker News
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
(updated 09/2026 !!!)
with Luca Henkel
SSRN | Slides (short) | Slides (long) | Summary| NABE E. A. Mannis Prize | 2025 Thaler-Tversky Award
Bloomberg | HuffPost | Fast Company | NPR | Financial Times | Fortune | see more
Artificial Writing and Automated Detection
with Alex Imas
SSRN | NBER | Replication Package
The Information | Marginal Revolution | Forbes | see more
AI Behavioral Science
with Matthew O. Jackson et al.
SSRN | ArXiv
R&R Science Advances
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