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Over the past two years, healthcare leaders have shifted from questioning whether and where gen AI is relevant to focusing on how it can be used responsibly and at scale. Our latest survey of US healthcare leaders highlights several signals of gen AI’s maturation: Half of leaders report that their organizations have already implemented gen AI, more than 80 percent have deployed their first use cases to end users, and while AI safety risks remain top of mind, implementation barriers are now equally urgent (see sidebar, “Research methodology”).
Notably, half of respondents say their organizations deployed their first use cases more than six months ago. This cadence reflects increased confidence in both organizational capabilities and operational readiness, suggesting that healthcare organizations no longer view gen AI as experimental but increasingly as a core competency.
At the same time, the challenges that healthcare leaders face are evolving. Longstanding concerns around trust, safety, and governance now sit alongside the operational realities of integration. Against this backdrop, emerging interest in agentic AI points to the next stage of maturity—one in which organizations move from using gen AI to create content and support individual tasks to using agentic AI to take action and coordinate more complex processes end to end.