Education is moving from a push model, content delivered in fixed sequences, to a pull model where learners retrieve, verify, and apply knowledge on demand. AI accelerates this shift. The argument is simple, AI literacy now belongs beside reading, writing, and math. This session gives leaders and faculty a practical blueprint. We translate concerns about cheating into a broader redesign, prompt engineering as a form of writing, assessment that rewards verification and human judgment, and classroom patterns that reduce automation bias using optional versus forced display techniques. We outline how to inject ethics and humanities into every major, not as an add-on, but as the human center of AI-augmented work. Finally, we describe the coming Great Promotion, graduates will manage small cadres of AI agents on day one.