Anton Shenk is an AI policy research associate at RAND specializing in the economics of artificial intelligence. His work examines how AI is reshaping markets, regulatory frameworks, and security risks.
Shenk holds a B.S. in Quantitative Economics and Mathematics from Tufts University, where he completed graduate coursework in econometrics, statistics, and game theory. At RAND, he's authored work featured in the organization's annual report, including solo work on model evaluation and collaborative analysis of monopoly conditions in AI markets.
Shenk's research interests include AI market dynamics and competition; economic impacts of frontier AI systems; AI safety and evaluation frameworks; and economic statecraft and financial system resilience.
B.S. in economics & mathematics, Tufts University
English; Russian; Spanish
