In this podcast episode, we explore how artificial intelligence (AI) is revolutionizing drug repurposing, transforming it from a process guided by serendipity into a systematic, data-driven discipline. The discussion highlights AI and machine learning technologies—including deep learning, knowledge graphs, and natural language processing—that identify new therapeutic uses for existing drugs. Real-world case studies, such as the repurposing of Baricitinib for COVID-19, showcase these advances in action. We also contrast these modern methods with the traditional era of drug repurposing, exemplified by thalidomide’s complex legacy, to underscore both scientific progress and ethical responsibility. Finally, the episode examines ongoing challenges, including data quality, validation, and human oversight, as AI continues to reshape the future of pharmaceutical innovation. Produced by Dr. Jake Chen.