Teacher burnout is not a personal failing — it is a structural crisis. A landmark 2026 Gallup survey found that most K–12 educators receive no formal guidance on using AI, yet research confirms that teachers who use AI tools regularly save nearly six hours per week — the equivalent of six full weeks per school year. This session closes that gap. Drawing on research in human-centred AI design and responsible technology adoption, Ahlam Ansari introduces the Time-Back Framework: a practical, research-informed model that helps educators identify exactly which tasks to delegate to AI, which to redesign with AI support, and which to protect as irreplaceable human moments in the classroom. Attendees will leave with a ready-to-use AI Task Audit template, a curated toolkit of classroom-tested AI tools mapped to real teacher workflows — from lesson planning and feedback to reporting and parent communication — and a clear ethical boundary-setting guide so AI supports rather than replaces professional teacher judgment. This is not a session about AI replacing teachers. It is about AI finally giving teachers back the time to be the educators they trained to be.