Advancing AI & ML In Life Sciences R&D Whitepaper 2025

From Model Innovation to Organizational Readiness

The Next Phase of AI in Life Sciences The findings presented in this report reflect the state of thinking across the life sciences sector during the second half of 2025. In a field where technological cycles increasingly compress into months rather than years, it is important to acknowledge the temporal context. The pace of AI advancement continues to accelerate. Organizational capability evolves more gradually. The widening distance between these two curves is central to the conclusions of this report.

This global survey of 54 senior leaders across pharmaceutical, biotech, CRO, and technology organizations, followed by in-depth interviews with 9 executives, reveals a consistent pattern: internal demand for AI and machine learning is high, perceived strategic importance is high, yet organizational maturity remains comparatively low.