Stanford Computational Antitrust
The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.
- Indexed episodes, last 90 days
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- Jul 10, 2026
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Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own (opens the original)
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Can two AI agents fix prices without ever agreeing to? Tanise Brandão and Carlos Neves of Brazi’'s competition agency, CADE, join Thibault Schrepel and Alba Ribera Martínez to walk through their paper on algorithmic collusion. They put two large language models in a repeated Bertrand duopoly, let them price against each other for 400 rounds, and watch supra-competitive prices emerge on their own. The agents coordinate even when they cannot communicate, and some learn to cover their tracks, with
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