Daniel Rock

Daniel Rock is an Assistant Professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania. His research focuses on the economic effects of digital technologies, particularly the economics of artificial intelligence, digitization, information systems, the future of work and automation, productivity, and intangible assets. His work explores how AI and other digital technologies impact labor markets, productivity measurement, and firm performance. Rock's research has been published in academic journals and featured in media outlets such as The New York Times and Harvard Business Review. He received his B.S. from the Wharton School, and his M.S. and Ph.D. from the Massachusetts Institute of Technology. Prior to his academic career, he worked as an Algorithmic Trader at DRW Trading.

Daniel Rock is an Assistant Professor at the Wharton School of the University of Pennsylvania, specializing in the Economics of Digitization, Economics of Artificial Intelligence, Productivity, and Economics of Information Systems. His research explores the labor market impact of large language models, the productivity paradox in AI, and the role of digital capital in firm performance. He investigates how technological advancements influence productivity, workforce dynamics, and organizational strategies. His work also addresses measurement challenges in remote work and the distributional effects of machine learning on employment. Rock's research provides insights into how firms can adapt to transformative AI and leverage technological talent effectively.