Artificial Intelligence has the potential to improve every aspect of health care. AI applications can accelerate scientific discovery, help physicians and nurses make better decisions, improve medical advice for patients, and reduce the sometimes-crushing burden of paperwork. But history suggests that the U.S. health sector struggles to put innovations like AI into practice, due in part to what economists call “switchover disruptions,” the costly phase-in period for new technologies that can upend profitable operations. To reduce switchover disruptions for AI and accelerate adoption, health care innovators must build trust in AI with three critical constituencies: providers, patients, and the public.