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Artificial intelligence is often heralded as a solution to rising U.S. healthcare costs, with the promise of reducing administrative burden, increasing clinical productivity, accelerating drug development, and expanding access to care. But will greater efficiency actually translate into lower spending? In the context of the healthcare ecosystem, efficiencies don't always translate into lower spending. Will this time be different? This webinar brings together experts in healthcare delivery, investment, and economics to examine whether AI will bend the cost curve or accelerate spending growth, and what policies are needed to ensure that AI-driven productivity gains translate into more affordable healthcare.

Ryan Calder, associate professor in the Department of Sociology at Johns Hopkins University, will give a talk titled "The Arab Gulf States, Global Energy Markets, and the 2026 U.S. Midterm Elections" as part of the Aronson Center's fall speaker series, Midterms in Focus: Global and Domestic Perspectives.