Will predictive AI make discovery research in metabolism obsolete.

Advances in artificial intelligence are transforming metabolic research, with predictive AI offering a growing capacity to integrate complex data and, in appropriate settings, anticipate disease trajectories or treatment responses. In this Comment, we discuss how AI tools can augment, rather than replace, traditional discovery approaches, highlight key challenges around data quality, bias, and interpretability, and outline future directions for productive collaboration between computational and experimental metabolism research.