Professor Arunangu Chatterjee discusses the complexities of artificial intelligence adoption within large legacy institutions like universities and healthcare systems, emphasizing that success relies on human-driven value rather than just technological capability. He outlines a practical framework for managing institutional resistance by addressing value, capability, process, and risk, while noting that true transformation occurs when technology is fully integrated into everyday operations. The conversation also explores the ethical challenges of patient data sharing, proposing distributed value models to build trust and ensure accountability between humans and vendors. Furthermore, the dialogue examines how generative artificial intelligence impacts doctoral research and higher education, questioning the future role of human scholars and the evolving value of university degrees.