Educating Future Leaders in Drug Development about AI

Artificial intelligence (AI) is transforming pharmaceutical development, from discovering new molecules to expediting product development and monitoring drug safety in real-world use. This shift calls for leaders who understand both AI’s capabilities and its limitations, while navigating ethical complexities and regulatory uncertainties. This chapter explores how AI is being integrated across the drug development lifecycle and examines what skills future pharmaceutical leaders should have to guide this transformation responsibly. Using the European Center of Pharmaceutical Medicine (ECPM) program as an example, we discuss effective educational approaches that blend technical knowledge with ethical awareness and collaborative skills. Key challenges include keeping pace with fast-evolving technology, lack of standardized training and experiential learning tools, complex ethical considerations, and the need for new interprofessional collaboration models. We recommend adaptive curricula, interdisciplinary learning environments, global knowledge sharing, and hands-on experience with real-world cases. Ultimately, preparing leaders for AI-driven drug development means more than teaching technical skills because it requires fostering critical thinking, ethical judgment, and the ability to balance innovation with patient safety. Innovation in pharmaceutical medicine depends on leaders who can utilize AI’s potential while remaining grounded in the realities of clinical practice and regulatory responsibility.