A new report finds widespread use of AI tools across university staff but a sharp gap in institutional guidance: many employees say they don’t know how their campuses expect the tools to be used. The disconnect spans administrative offices, advising, and research support and raises questions about training, governance and academic integrity. Complementing that finding, instructional leaders are urging a shift from compliance to student discernment—promoting decision rubrics (a “Gatekeeper” model) that help students evaluate when AI use supports learning. Together, the data and pedagogy proposals push institutions to pair AI adoption with clear policies, professional development and scaffolded classroom practices.