Alex Smolin

I am an Assistant Professor of Economics at the Toulouse School of Economics, a Chair at the Artificial and Natural Intelligence Toulouse Institute, a Research Affiliate at the Centre for Economic Policy Research, and a member of the Editorial Board of the Review of Economic Studies. I obtained my Ph.D. in Economics from Yale University. My research is in economic theory, with a focus on information design, mechanism design, and artificial intelligence.

My CV is here.

Contact Information:

Office: T.584, Toulouse School of Economics, 1 Esplanade de l'Université, 31080 Toulouse Cedex 06, France

E-mail: alexey.v.smolin [at] gmail.com

Academic Profile: Google Scholar

Working Papers:

Information Design in Smooth Games, with Takuro Yamashita, July 2025. [arXiv]
Theoretical Economics, revision requested.
The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing,
with Dirk Bergemann and Alessandro Bonatti, February 2025. [arXiv]
Buyer-Optimal Algorithmic Recommendations, with Shota Ichihashi, February 2025. [arXiv]
Media coverage: UPenn EODS.
Review of Economic Studies, revision requested.

Publications:

Data Provision to an Informed Seller, with Shota Ichihashi.
Games and Economic Behavior, 153, pp. 131-144, 2025. [published], [working]
Persuasion and Welfare, with Laura Doval.
Journal of Political Economy, 132(7), pp. 2451–2487, 2024. [published], [working]
Optimal Technology Design, with Daniel Garrett, George Georgiadis, and Balázs Szentes, Online Appendix.
Journal of Economic Theory, 209, 105621, 2023. [published], [working]
Disclosure and Pricing of Attributes.
RAND Journal of Economics, 54(4), pp. 570-597, 2023. [published], [working]
Dynamic Evaluation Design.
American Economic Journal: Microeconomics, 13(4), pp. 300-331, 2021. [published], [working]
Cream Skimming and Information Design in Matching Markets, with Gleb Romanyuk.
American Economic Journal: Microeconomics, 11(2), pp. 250-276, 2019. [published], [working]
Media coverage: AEA Research Highlights.
Dynamic Communication with Biased Senders, with Chiara Margaria.
Games and Economic Behavior, 110, pp. 330-339, 2018. [published], [working]
The Design and Price of Information, with Dirk Bergemann and Alessandro Bonatti.
American Economic Review, 108(1), pp. 1-48, 2018. [published], [working]
Media coverage: LSE Business Review.

Conference Proceedings:

The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing (extended abstract), with Dirk Bergemann and Alessandro Bonatti.
The 26rd ACM Conference on Economics and Computation, p. 786, 2025. [link]
Buyer-Optimal Algorithmic Recommendations (extended abstract), with Shota Ichihashi.
The 26rd ACM Conference on Economics and Computation, p. 667, 2025. [link]
Information Design in Concave Games (extended abstract), with Takuro Yamashita.
The 23rd ACM Conference on Economics and Computation, p. 870, 2022. [link]
The Optimality of Upgrade Pricing, with Dirk Bergemann, Alessandro Bonatti, and Andreas Haupt.
The 17th Conference on Web and Internet Economics, pp. 41-58, 2021. [published], [working]

Invited Articles:

The Welfare Impact of Recommendation Algorithms, with Laura Doval.
ACM SIGecom Exchanges 22 (2), pp. 56-65, 2025. [link]

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