This episode of the AI Lawyer Podcast explores the legal challenges of AI market concentration and competition with Berkeley Law Professor Tejas Narechania, an expert in telecommunications law and antitrust policy. As the costs of developing advanced AI models rise, Professor Narechania examines whether AI is headed toward a natural monopoly and what that means for fairness, innovation, and legal accountability.

Will a small group of companies dominate AI development? What legal risks arise from monopolistic control over critical technologies? Professor Narechania breaks down the structural market forces driving AI consolidation and explains how antitrust laws, interoperability requirements, and public infrastructure models could shape the future of AI governance.

In this conversation, host Joel Cohen engages with Professor Narechania on these pressing issues, ensuring a deep dive into the legal frameworks shaping the future of AI.

Whether you’re a legal professional, policymaker, or tech enthusiast, this episode provides essential insights into the evolving relationship between AI, market power, and the law.