Universities are deploying AI across campus operations and athletics—from master schedule optimization to player injury prediction. Districts and campuses report tangible savings and operational gains: Austin ISD used generative AI to tighten master schedules and saved roughly $2,600 per campus; universities feed biometric, wearable and performance data into AI systems to model injury risk and tailor training regimens for athletes. Campus IT leaders are also prioritizing frictionless technology—single sign‑on, integrated procurement and student‑facing services—to reduce administrative drag for faculty and students. Implementers stress that human oversight and civil‑rights safeguards must accompany automated scheduling and athlete‑monitoring systems to avoid discriminatory or opaque decisions. Why it matters: AI adoption is moving beyond pilot projects into routine operational and fitness use at institutions. Colleges must invest in governance, privacy protections, vendor vetting and staff training to ensure that AI improves outcomes without compromising fairness, safety or regulatory compliance.