In this episode of Two Think Minimum, MIT Professor Catherine Tucker discusses her research on competition policy and artificial intelligence. The discussion focuses on how AI's unique cost structures differs from that of traditional digital economics, how economists think about AI, and the implications of AI for competition policy and antitrust enforcement. Tucker explains that the current high fixed and marginal costs in AI are likely temporary, and that it's difficult to predict which firms will succeed in the AI industry. She also highlights the challenges AI poses for antitrust enforcement, such as the potential lack of "hot docs," the need for greater technical expertise among regulators, and the importance of understanding the role of data and algorithms in competition analysis.