Reports from EDUCAUSE and WGU Labs show campus leaders and students see generative AI as a force multiplier for administrative efficiency, tutoring and assessment feedback — but both bodies stressed human relationships must remain central. Campus panels and surveys found AI optimizes routine tasks and scaling but also raises concerns about ethics, literacy and trust. Panelists recommended institutions invest in AI literacy, calibrate vendor partnerships, and train faculty to evaluate tools before classroom rollout. The guidance emphasized a "human-in-the-loop" model — using AI for throughput while retaining human judgment for pedagogy, mentorship and assessment integrity. For provosts and IT leaders, the findings translate to immediate operational priorities: adopt clear AI policies, invest in training for faculty and staff, and design student-facing pilots that preserve mentorship and oversight while testing efficiencies.