RECENT AWARDS
Thaler-Tversky Award
Independent Research Grant, 2025
Project: Artificial Process Outsourcing
Booth Center for Applied Artificial Intelligence
Seed Grant, 2025
Project: Artificial Process Outsourcing
Google Cloud
Education Research Program Grant, 2025
Project: Artificial Process Outsourcing
Becker-Friedman Institute
Research Program in Behavioral Economics
Research Seed Grant, 2024
Projects: Artificial Process Outsourcing
Swiss National Science Fund
Research Grant, 2024-2027 (co-PI with P. G. Piacquadio)
Project: Future of Work and Artificial Taxation
RECENT & UPCOMING TALKS
University of Chicago, Department of Economics
Advances with Field Experiments Conference,
September 18, 2025
Microsoft Research
AI & Business Value Internal Meeting
September 29, 2025
Innovation Growth Lab
Experimentation Webinar Series
October 02, 2025
Harvard Business School & INSEAD
Conference on Field Experiments in Strategy
San Francisco, October 9-10, 2025 (scheduled)
National Association for Business Economics
Annual Meeting
Philadelphia, October 12-14, 2025 (scheduled)
USC Marshall Initiative on Digital Competition
and the USC Dornsife College Department of Economics
Conference on AI, Business, and Economics
October 17, 2025 (scheduled)
University of Illinois Urbana-Champaign
Department of Economics
Applied Microeconomics Seminar
October 22, 2025 (scheduled)
Google
Google Economics Seminar
October 23, 2025 (scheduled)
World Bank
DIME-KDI School 6th Development Impact Conference
November 6-7, 2025 (scheduled)
Luohan Academy
Webinar Series
November 11, 2025 (scheduled)
ETH Zurich
Economics + Data Science Online Seminar
November 13, 2025 (scheduled)
ETH Zurich and University of Zurich
Zurich Workshop in AI+Economics
December 5-6, 2025 (scheduled)
EM Lyon Business School
AI in Management Seminar
December 18, 2025 (scheduled)
BIO
I am the Howard & Nancy Marks Fellow (postdoc) at the University of Chicago Booth School of Business. I received my Ph.D. in Economics from the Paris School of Economics in 2023, with a two-year Ph.D. visit at the Department of Economics at Princeton University.
I am interested in how emergent technologies transform information environments, work processes, decision-making, and the design of firms and institutions. My job market paper runs the first large-scale natural field experiment on AI voice agents that automate job interviews, examining their real-world impacts on labor matching, downstream performance, and behavioral outcomes.
My research agenda explores the design, mechanisms, and welfare trade-offs of AI augmentation and automation through a series of theory-driven natural field experiments, supported by a five-year research partnership I established with a subsidiary of a global leader in the business process outsourcing market.
I am currently on the academic job market for the 2025–2026 cycle.
Curriculum Vitae | Email | Google Scholar | Booth profile | ORCID
JOB MARKET PAPER
Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews
with Luca Henkel
SSRN version | Latest version: September 19, 2025 (PDF) | Twitter thread
Coverage
Bloomberg (interview) | The Information (interview) | HuffPost (interview) | Poets & Quant (interview) | Marginal Revolution (mention) | PSG Global Solutions (press release) | Teleperformance (press release) | CBS (press release) | Barchart (press release) | Yahoo Finance (press release) | Booth Center for Applied AI (interview) | Chicago Booth Review Podcast (Podcast, scheduled) | Business Insider (quote) | Financial Times (mention) | Fortune (mention) | Rest of World (mention) | HRM Outlook (mention) | HR Tech Cube (mention) | Kyla Scanlon’s Newsletter (mention) | Nasdaq (mention) | El Espectador (mention) | eWeek (mention); Morning Brew (mention) | ReWorked (mention) | Greg Isenberg’s post (mention) | Ethan Molick’s post (mention) | Talent Edge (mention) | Numerama (quote) | Au Feminin (mention)
Presentations
Google, Google Economics Seminar | Microsoft Research, AI & Business Value Internal Meeting | Conference on Field Experiments in Strategy 2025, Harvard Business School & INSEAD, San Francisco | Advances with Field Experiments Conference 2025, University of Chicago, Department of Economics | Applied Micro Seminar (University of Illinois Urbana-Champaign, Department of Economics | AI Behavioral Science Workshop 2025, Stanford University, CASBS | Behavioral Science Seminar, University of Chicago, Booth School of Business, 2025 | Experimental Economics Workshop University of Chicago, Department of Economics, 2025 | TOM Workshop Meeting Harvard Business School, 2024 | Conference on Field Experiments in Strategy 2024, Harvard Business School & INSEAD; Paris | Conference on AI in Business, Harvard Business School, Harvard D3 and Nova Business School, 2024.
Abstract
We study the impact of replacing human recruiters with AI voice agents to conduct job interviews. Partnering with a recruitment firm, we conducted a natural field experiment in which 70,000 applicants were randomly assigned to be interviewed by human recruiters, AI voice agents, or given a choice between the two. In all three conditions, human recruiters evaluated interviews and made hiring decisions based on applicants' performance in the interview and a standardized test. Contrary to the forecasts of professional recruiters, we find that AI-led interviews increase job offers by 12%, job starts by 18%, and 30-day retention by 17% among all applicants. To explain these results, we explore three channels. First, analyzing interview transcripts reveals that AI-led interviews elicit more hiring-relevant information from applicants compared to human-led interviews. Second, recruiters score the interview performance of AI-interviewed applicants higher, but place greater weight on standardized tests in their hiring decisions. Third, applicants accept job offers with a similar likelihood and rate interview, as well as recruiter quality, similarly in a customer experience survey. Moreover, when offered the choice, 78% of applicants choose the AI recruiter, and we find evidence that applicants with lower test scores are more likely to choose AI.
SELECTED RESEARCH
Artificial Writing and Automated Detection
with Alex Imas
SSRN version | NBER version
GitHub Replication Package
Coverage: Twitter thread | The Information (mention)| Marginal Revolution (mention) | Forbes | Less Wrong #132 (Zvi Mowshowitz); Ethan Mollick’s posts; Businesswire; AI World; Chicago Booth Review Podcast (Podcast, scheduled);
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 version | ArXiv version
Two-Ball Ellsberg Paradox
with Simon Lazarus
CESifo version
Award Nomination: CESifo Distinguished Affiliate Award 2023, finalist
Critical Thinking and Storytelling Contexts
with Elia Sartori
CESifo version
Cognitive Automation and Human-AI Error
Screening Skills with AI and Humans
with Pëllumb Reshidi
Human-AI Learning: Theory and Field Evidence (Field Data Collected)
with Andrew Koh and Sahana Subramanyam
Critical Thinking and Economic Impacts: A Natural Field Experiment in Saudi Arabia on Educational and Labor Performance (Pilot Data Collected)
with Michael Cuna, Faith Fatchen, Faisal Kattan, Min Sok Lee, and John List
The Next Generation of Experimental Research with LLMs
with Gary Charness and John List
NBER No. 31679 | Teaching Slides
Nature Human Behaviour, 2025
Coverage: World Economic Forum | Chicago Booth Review | VoxEU Column