Universities are piloting AI tools across campus operations. Facilities teams are building digital twins—virtual replicas of buildings and systems—to predict maintenance needs, reduce downtime and lower operating costs. Early pilots show the technology can improve asset tracking and schedule predictive repairs. Athletic departments are feeding wearable and sensor data into machine‑learning models to flag injury risk and optimize training loads. Together these deployments illustrate growing institutional appetite to apply AI for operational efficiencies and student‑athlete safety.