Generative AI refers to models that create new content—here, candidate drug molecules or predictions about trial outcomes—rather than just classifying existing data. Clinicians may assume it simply automates routine calculations, but its creative outputs introduce new kinds of uncertainty, bias, and validation needs when used to design therapies or guide high‑stakes R&D decisions.