Scholars and academic leaders warn that the main disruption from generative AI in higher education goes beyond academic misconduct: AI risks eroding the core learning process, the Conversation reported. Universities are rapidly deploying AI for advising, scheduling and risk-flagging while students and faculty use tools to summarize, draft and automate coursework. That diffusion can change what assessments measure and how courses credential learning outcomes. The piece urges institutions to treat AI governance as an institutional priority—revising assessment design, training faculty, and auditing administrative AI systems—to preserve learning integrity. Campus leaders should view AI policy as cross-functional work that spans academics, IT, compliance and student services rather than a narrow plagiarism fight.