Across campuses, AI adoption is colliding with uncertainty about pedagogy, governance, and cybersecurity. One education-focused case shows students directly shaping AI literacy guidance for teachers: at Percy Julian Middle School in Illinois, 8th graders led staff sessions on AI use and guardrails, arguing for earlier student input into what responsible AI looks like. At the institutional strategy level, commentary warns that universities too often treat AI as an academic integrity issue instead of a core operational and decision-support capability—calling for enterprise-wide AI strategy and technical architecture rather than fragmented policies. Meanwhile, external polling suggests Gen Z’s sentiment toward AI is worsening: anger is rising while excitement declines, with many students and young adults expressing concern that AI will make learning more difficult. The result is a widening gap between institutional push toward AI-enabled workflows and student expectations for how learning should work.