
What happens when AI starts fixing prices without any instruction to do so or any need to communicate? As companies increasingly turn to AI-powered pricing algorithms, a new challenge is emerging for antitrust law: how do you prove collusion when competitors never actually communicate? In Part I of our algorithmic pricing series, we welcome Giovanna Massarotto, Lecturer in Law at the University of Pennsylvania Carey Law School, to explore the intersection of AI and antitrust regulation. Giovanna shares how her interest in technology and antitrust developed before unpacking how pricing algorithms work, who uses them, and why traditional antitrust standards for identifying collusion may no longer be enough. She explores how AI can learn cartel-like strategies and introduces her proposed three-prong framework for identifying algorithmic collusion, from persistent supracompetitive pricing to coordinated behaviour and the opportunity for companies to rebut allegations. Finally, she explores the challenges of crafting effective remedies, the emerging circuit split over algorithmic pricing, and the evolving regulatory landscape. Tune in to discover whether existing antitrust laws can keep pace with AI and what it will take to ensure this powerful technology works in consumers' favor.
Key Points From This Episode:
- Today’s conundrum: how AI can enable price-fixing without communication and challenge traditional antitrust laws.
- How Giovanna found interest as a scholar in the intersection between tech and antitrust.
- Discover what pricing algorithms are, how they work, and the different types of businesses that use them.
- Learn how Section One of the Sherman Antitrust Act defines collusion.
- Uncover how courts identify agreements between competing businesses.
- Understand why none of the previously established plus factors apply to AI pricing algorithms.
- How AI learns to coordinate pricing and how these insights could reshape the way we approach collusion.
- Giovanna breaks down her three-prong evidentiary framework for identifying AI-driven collusion.
- Why she believes her proposal is a solid solution to AI-driven collusion.
- Examining the importance of finding remedies for harmful pricing algorithms.
- She sheds light on the current circuit split that has arisen in AI algorithmic pricing.
- Giovanna shares her thoughts on recent rent-related AI algorithmic pricing in the Southern District of New York.
- Exploring the Trump administration’s approach to regulating AI-driven pricing and curbing potential collusion.
- What listeners can look forward to in Part II of our Antitrust Series.
Links Mentioned in Today’s Episode:
Articles by Giovanna Massarotto
Giovanna Massarotta on LinkedIn
Fordham University School of Law Corporate Law Center
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