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Bay Area Tech Economics Seminar with Andrey Fradkin, Boston University / Amazon | Stanford HAI
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eventSeminar

Bay Area Tech Economics Seminar with Andrey Fradkin, Boston University / Amazon

Status
Past
Date
Thursday, March 05, 2026 6:30 PM - 8:30 PM PST/PDT
Location
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
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Event Contact
datascience@stanford.edu

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Talk Title: Economics for the Coasean Singularity

Abstract: Andrey will discuss two active research areas at the intersection of economics and AI. First, Fradkin draws on their work about the market for LLMs to outline the open questions regarding competition among models, creators, and providers. Second, they will discuss the idea of a Coasean Singularity and some barriers to existing agentic technologies in fulfilling this ideal. Throughout, Fradkin poses open questions that we should be working on as a community.

Speaker: Andrey Fradkin, Associate Professor of Marketing, Boston University Questrom School of Business; Economics of AI, Amazon (on leave)

Speaker Bio: Andrey Fradkin is an associate professor of marketing at the Boston University Questrom School of Business and an affiliate of the Boston University Economics Department, currently on leave working on the economics of AI at Amazon. His research focuses on the economics of digital markets and AI, quantitative marketing, and search and matching markets, and has been published in top marketing, economics, and computer science outlets. He has provided expert input on the digital economy to the President's Council on Science and Technology and the Federal Trade Commission. He worked as a data scientist at Airbnb while completing his Ph.D. in Economics at Stanford University. He co-hosts the podcast Justified Posteriors.

The logistics details for each session will be provided to registered participants.  Sign up here to be included on the mailing list and learn about future events.

This talk is co-sponsored by USF's Master's in Applied Economics and the Stanford Causal Science Center. For additional information and abstracts from past talks, please click here

The BATES events are completely free to attend. If you’d like to support future events and our research, please consider making a gift to Stanford Data Science: https://bit.ly/supportSDS