Meher Sethi

Meher Sethi is a recent graduate of Yale University, where he studied Ethics, Politics, and Economics (EP&E) with a concentration in Antitrust and Artificial Intelligence. He is an incoming analyst at Quantitative Economic Solutions and an Economics Ambassador for the ABA Antitrust Law Section’s Technology Committee. His research sits at the intersection of law, economics, and technology, with a focus on the legal implications of AI’s growing influence in markets. His senior thesis, The Algorithmic Antitrust Paradox, advised by Professor Fiona Scott Morton, examined algorithmic collusion and was awarded Yale’s George Hume Prize for the best EP&E thesis. He also delivered a TEDxYale talk on the topic titled Code Cartels: The Secret AI Algorithms Rigging the Economy. Additionally, Meher is interested in emerging issues such as surveillance pricing, algorithmic hiring and wage discrimination, and the intellectual property challenges posed by generative AI. He has previously held roles in the DC Office of Senator Dick Durbin, the Antitrust Section of the Connecticut Attorney General’s Office, and the American Economic Liberties Project.