Source: ITIF – Information Technology & Innovation Foundation

ITIF shares a commentary by Joe Kennedy, a senior fellow at the organization, reflecting on his recent testimony before the U.S. Congress about the intersection of artificial intelligence and antitrust law. The author argues that while AI can increase efficiency and lower prices, it also raises unique risks for market concentration, especially due to the high cost of training large models and access to proprietary data.

Kennedy outlines that traditional antitrust tools may be insufficient to deal with monopolistic behaviors driven by control of AI infrastructure, models, and computing power. He also discusses how AI could potentially facilitate tacit collusion between companies through algorithmic pricing. The piece encourages caution in regulatory responses to avoid stifling innovation but stresses the need for updated antitrust frameworks that reflect digital market realities. There is also emphasis on international cooperation and alignment of regulatory strategies to prevent fragmentation.