AI's Smash Hits: What VCs Fund, Health Systems Buy, & Actually Delivers ROI

Healthcare AI investment has reached a critical inflection point where the gap between venture funding and health system purchasing decisions reveals uncomfortable truths about what actually works. While hundreds of AI companies secure capital based on technical capability and market potential, only a handful achieve sustained health system adoption and demonstrate measurable returns. The challenge lies not in building AI solutions, but in identifying which applications solve real operational problems, integrate into existing workflows, and deliver ROI that justifies enterprise contracts.

This roundtable examines what separates AI's breakout successes from pilot purgatory. Participants will explore which AI applications are generating revenue and results versus those stuck in perpetual proof-of-concept mode, why certain innovations attract investment but fail to secure health system budgets, and the often-invisible criteria that determine whether promising AI technology becomes purchased infrastructure. The conversation bridges the perspectives of capital deployment and operational reality to create insight unavailable in single-viewpoint discussions.

Join us to discuss:

• Which AI applications are breaking through to achieve both venture success and health system scale—and what distinguishes them from the overhyped?

• What causes the disconnect between what gets funded based on potential and what gets bought based on operational reality?

• How can AI companies bridge the gap between demo-stage excitement and enterprise purchase approval to deliver genuine ROI?