AI Innovation in the Life Sciences: Powering the Next Wave of Breakthroughs

AI is already reshaping the life sciences in concrete, practical ways, while also challenging the traditional business models that have long governed R&D productivity, workforce structures, and commercialization. This panel will focus on four critical use cases that are defining the next chapter of innovation and forcing firms to rethink how value is created and captured.

First, the discussion will explore how AI is accelerating discovery and R&D—enabling faster target identification, smarter experimentation, and shorter development cycles, with significant implications for R&D economics and portfolio strategy. Second, panelists will examine how AI is changing how work gets done across life sciences organizations, from scientists to commercial teams, and what it takes to redesign roles, incentives, and operating models so people are empowered by these tools.

The conversation will then turn outward to patients and consumers, examining how AI is enabling more personalized, responsive, and accessible engagement across the care journey, and how this shifts traditional approaches to market access, differentiation, and value propositions. Finally, the panel will confront a central challenge: how to scale these innovations without reinforcing existing inequities, ensuring that AI-enabled business models advance equity, access, and trust rather than leaving people behind.