ABOUT THIS EPISODE
In this episode of Two Think Minimum, MIT Professor Catherine Tucker discusses her research on competition policy and artificial intelligence. The discussion focuses on how AI's unique cost structures differs from that of traditional digital economics, how economists think about AI, and the implications of AI for competition policy and antitrust enforcement. Tucker explains that the current high fixed and marginal costs in AI are likely temporary, and that it's difficult to predict which firms will succeed in the AI industry. She also highlights the challenges AI poses for antitrust enforcement, such as the potential lack of "hot docs," the need for greater technical expertise among regulators, and the importance of understanding the role of data and algorithms in competition analysis.
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of Two Think Minimum.
OTHER EPISODES IN THIS PODCAST
Bill Kovacic on Political Interference, Institutional Decay, and the Future of U.S. Antitrust by Technology Policy Institute
2025 TPI Aspen Forum: Privacy and Governmental Surveillance by Technology Policy Institute
The FCC’s Public Interest Standard: Shield or Weapon? with Harold Feld and Tom Hazlett by Technology Policy Institute
Supreme Court and Other Legal Developments by Technology Policy Institute
Needham's Laura Martin on Why Disney Should Ditch ABC by Technology Policy Institute
Disclaimer: The podcast and artwork embedded on this page are from Technology Policy Institute, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.