Beyond K–12, guidance on AI use is emerging as institutions confront inconsistent policy direction and classroom-level variability. A new focus on practice-ready guidelines emphasizes that general state-level frameworks often miss the daily realities of implementation. Experts argue districts should build roadmaps that prioritize safe, secure, and private use; support educator hands-on exploration; and establish usage policies developed with input from educators and students. For higher education, the same governance lessons are increasingly relevant as campuses scale AI tools for instruction, advising, and operations.