New data from more than 1,000 U.S. school districts shows widespread, uneven adoption of AI tools—and administrators are racing to build governance around real student usage. The dataset reveals patterns of classroom use, safety signals, and gaps that a simple ban or embrace won’t fix; district leaders are being urged to move toward measured guardrails that surface risks in real time. At the same time, New York City is preparing to pilot AI in classrooms after previously lagging behind other districts, signaling that urban systems are now confronting policy, procurement, and teacher‑training choices simultaneously. District officials, ed‑tech vendors, and state education agencies are the primary actors as schools try to balance instructional innovation with student data and privacy protections. Districts should expect more federal and state attention to student AI governance, with implications for procurement, staff training, and data‑use agreements with vendors.