Generative AI Sparks Copyright Antitrust Collision

Penn State law professor Daryl Lim, in a recent TechREG interview with Competition Policy International, argues generative AI's need for vast copyrighted datasets concentrates control among few firms and creates copyright–antitrust friction. Lim urges courts to rely on fair use doctrines and reserve antitrust for demonstrable exclusionary conduct like exclusive compute or data deals, calling for regulatory clarity.
Key Points
- 1Highlights generative AI's data aggregation concentrates control among few firms, creating legal overlap
- 2Explains fair use is central to distinguish transformative training from substitution in copyright disputes
- 3Advises antitrust should target exclusionary conduct like exclusive compute deals, not mere scale
Scoring Rationale
Addresses industry-wide legal risk and policy guidance, but rests on expert analysis rather than binding rulings.
Sources
Public references used for this report.
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