SI 2026 Digital Economics and Artificial Intelligence
Organized by Erik Brynjolfsson, Avi Goldfarb, and Catherine Tucker
Supported by the Alfred P. Sloan Foundation
July 22-24, 2026
Royal Sonesta Hotel, 40 Edwin H. Land Blvd., Cambridge, MA
Format: 20 minutes speaker/10 minutes discussant/10 minutes Q & A

Wednesday, July 22

12:00 pm

Lunch

Afternoon Joint Session with Innovation Group

1:30 pm

Growth at the Resource Frontier

Martin Beraja, University of California, Berkeley and NBER
Noam Yuchtman, London School of Economics

Discussant:
TBA

2:20 pm

Platform Governance and Automated Enforcement: Evidence from YouTube Content ID

Sverrir Arnórsson, University of Zurich
Stefan Bechtold, ETH Zurich
Christian Peukert, HEC Lausanne
Catherine Tucker, Massachusetts Institute of Technology and NBER

Discussant:
TBA

3:30 pm

Elite Talent and Firm Productivity in the Age of AI

Sagar V. Baviskar, Carnegie Mellon University
Lee G. Branstetter, Carnegie Mellon University and NBER
Prasanna Tambe, University of Pennsylvania
Liujie Wu, Carnegie Mellon University
Cameron Drayton, Carnegie Mellon University
Eduard Hovy, Carnegie Mellon University

Discussant:
TBA

4:20 pm

Adjourn

Thursday, July 23

8:30 am

Coffee and pastries

9:00 am

Introductions

9:10 am

End of the Road? Autonomous Vehicles and Displacement Risk

Danial Salman, University of Washington

Discussant:
TBA

9:40 am

Labor, Despite AI

Matteo B. Chequer, University of Minnesota
Kyle F. Herkenhoff, University of Minnesota and NBER
Dimitris Papanikolaou, Northwestern University and NBER
Jonathan L. Rothbaum, U.S. Census Bureau
Lawrence D.W. Schmidt, Massachusetts Institute of Technology and NBER
Bryan Seegmiller, Northwestern University

Discussant:
TBA

10:30 am

Break

11:00 am

Social Media Toxicity and Mental Health: Experimental Evidence

George Beknazar-Yuzbashev, Columbia University
Francesco Capozza, University of Barcelona
Kylan Rutherford, New York University
Mateusz Stalinski, University of Warwick

Discussant:
TBA

11:40 am

Robust Content Moderation: Theory and Applications

Scott Duke Kominers, Harvard University
Jesse M. Shapiro, Harvard University and NBER

Discussant:
TBA

12:20 pm

Lunch

1:30 pm

Re-organizing Work inside the Firm: Task Change after Technology Adoption

Eleonora Brandimarti, University of Glasgow
Virginia Minni, The University of Chicago and NBER
Raffaella Sadun, Harvard University and NBER
Jorge A. Tamayo, Harvard University and NBER

Discussant:
TBA

2:10 pm

Break

2:40 pm

AI Adoption and Productivity in Healthcare

Erkmen G. Aslim, University of Vermont
Manuel Hoffmann, University of California, Irvine
Haonan Yin, University of California, Irvine

Discussant:
TBA

3:40 pm

Lightning Round

3:40 pm

Mapping AI into Production: A Field Experiment on Firm Performance

Hyunjin Kim, INSEAD
Dahyeon Kim, INSEAD
Rembrand M. Koning, Harvard University

3:46 pm

Learning to Prompt: Human Adaptation in Production with Generative AI

Sijie Lin, University of Toronto

3:53 pm

Calibrated Coarsening: Designing Information for AI-Assisted Decisions

Bnaya Dreyfuss, Harvard University
Ruru Hoong, Massachusetts Institute of Technology

4:00 pm

Making Talk Cheap: Generative AI and Labor Market Signaling

Anais Galdin, Dartmouth College
Jesse Silbert, Princeton University

4:07 pm

Adverse Selection in the AI Data Commons

Kai Zhu, Bocconi University

4:14 pm

Openness to AI in Higher Education

Fernando Saltiel, McGill University

4:21 pm

How Exposed is Higher Education to Artificial Intelligence?

Jacob D. Light, Hoover Institution

4:28 pm

Experimental Evidence on the Learning Impact of Generative AI

German J. Reyes, Middlebury College
Zara Contractor, Middlebury College

4:35 pm

Courts of Tomorrow: Evidence from a Nationwide Introduction of Generative AI

Sultan Mehmood, New Economic School
Christoph K. Goessmann, ETH Zurich
Elliott Ash, ETH Zurich

4:41 pm

AI, Authority, and Expert-Client Interaction: Experimental Evidence from Healthcare

Yuyu Chen, Peking University
Hongbin Li, Stanford University
Lingsheng Meng, Stanford University
Xinyao Qiu, The University of Hong Kong (HKU)
Qingxu Yang, University of Hong Kong

4:48 pm

The Labor Market Effects of Generative Artificial Intelligence

Jonathan S. Hartley, Stanford University
Brendan Moore, Stanford University
Filip Jolevski, The World Bank
Vitor C. Melo, Clemson University

4:54 pm

Generative AI and Market Structure in Open Source Software: Evidence from GitHub Copilot

Michail Batikas, Nova School of Business and Economics

5:00 pm

Adjourn

6:00 pm

Reception & Dinner at the Royal Sonesta Hotel

Friday, July 24

8:30 am

Coffee and pastries

9:00 am

Human Decisions and Machine Predictions in Multistage Systems

E. Jason Baron, Duke University and NBER
Will S. Dobbie, Harvard University and NBER
Richard Lombardo, Harvard University
Ashesh Rambachan, Massachusetts Institute of Technology
Joseph P. Ryan, University of Michigan

Discussant:
TBA

9:40 am

Break

Data Papers

10:00 am

How Generative AI Diffuses Inside Organizations: Firm-Level Evidence from ChatGPT Enterprise

Aaron Chatterji, Duke University and NBER
David J. Deming, Harvard University and NBER
David Holtz, Columbia University
Neel Rakholia, OpenAI
Prasanna Tambe, University of Pennsylvania
Gawesha Weeratunga, OpenAI

10:30 am

Firm Data on AI

Ivan Yotzov, Bank of England
Jose Maria Barrero, Instituto Tecnológico Autónomo de México (ITAM)
Nicholas Bloom, Stanford University and NBER
Philip Bunn, Bank of England
Steven J. Davis, Stanford University and NBER
Kevin M. Foster, Federal Reserve Bank of Atlanta
Aaron Jalca, Federal Reserve Bank of Atlanta
Brent H. Meyer, Federal Reserve Bank of Atlanta
Paul Mizen, King's College London
Michael A. Navarrete, Federal Reserve Bank of Atlanta

11:00 am

How People Use ChatGPT

David J. Deming, Harvard University and NBER

11:30 am

Break

11:40 am

The Personalization Paradox: Welfare Effects of Personalized Recommendations in Two-Sided Digital Markets

Aaron P. Kaye, Boston University

Discussant:
Steven Tadelis, University of California, Berkeley and NBER

2:00 pm

Social Media Advertising Loads as Prices

George Beknazar-Yuzbashev, Columbia University
Rafael Jiménez-Durán, Bocconi University
Andrey Simonov, Columbia University
Mateusz Stalinski, University of Warwick

Discussant:
Jesse M. Shapiro, Harvard University and NBER

3:10 pm

Private Labels and Product Imitation: Evidence from Amazon

Malika Korganbekova, The University of Chicago
Alibek Korganbekov, Boston University

Discussant:
Leon Musolff, University of Pennsylvania and NBER

4:00 pm

Adjourn