Lina Khan
Chair of the New York City Economic Development Corporation; Associate Professor at Columbia Law School
Lina Khan is a legal scholar and former chair of the U.S. Federal Trade Commission whose work examines competition, platform power and market concentration. Her scrutiny of major technology companies’ AI investments and partnerships connects antitrust policy directly to the structure of emerging AI markets.
Key arguments & positions
- Argues competition policy should examine how dominant technology companies use control over data, computing infrastructure and distribution to shape emerging AI markets.
- Has called for scrutiny of large technology companies' investments in and partnerships with AI developers when those arrangements may reduce competition without a conventional acquisition.
Accomplishments
- Served as chair of the U.S. Federal Trade Commission from 2021 to 2025, where the agency opened inquiries into major technology companies' AI investments and partnerships.
- Associate professor at Columbia Law School and, since July 2026, chair of the New York City Economic Development Corporation.
- Her 2017 Yale Law Journal article “Amazon's Antitrust Paradox” became an influential argument for rethinking how competition law addresses dominant digital platforms.
Papers & key writings
Links
In the library
Nothing of theirs is filed in the hub yet. Browse the full library.
Recommended next
Hand-picked from the hub based on what Lina Khan covers.
Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews
A September 2026 working paper by Brian Jabarian (Carnegie Mellon) and Luca Henkel (Erasmus Rotterdam) reporting a field experiment with 70,000 real applicants randomly assigned to be interviewed by a human recruiter or an AI voice agent. Applicants interviewed by AI were 12% more likely to receive an offer, with higher job starts and retention and no drop in on-the-job productivity. Transcript analysis traces the gain to more structured, consistent interviews that still adapt to each applicant.
Why this: Also about AI policy
AI Now Institute
This research institute analyzes the social, economic, and workplace impacts of artificial intelligence. You can read free reports, policy toolkits, and expert analyses to better understand how AI affects society and the economy.
Why this: Also about AI policy
Import AI by Jack Clark
This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why this: Also about AI policy
Yoshua Bengio
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
Why this: Also about AI policy
