Universities are moving from AI pilots to agentic systems that perform tasks and make recommendations—what some writers now call the 'agentic AI university.' Thought leaders argue that agentic agents can act as colleagues in research and student services, but campus centers for teaching and learning caution that governance, evaluation and instructional design must evolve. Practitioners interviewed recommend incremental deployment, clear academic-governance lines and faculty-led CTL support to manage pedagogy, data privacy and assessment of agentic outcomes.