Artificial intelligence is rapidly entering classrooms; yet, without intentional design, AI risks reinforcing existing barriers to teaching and learning. This session explores how the intersection of AI and Universal Design for Learning (UDL) can expand access and agency for every learner. Participants will examine how AI tools can support flexible pathways for engagement, representation, and action and expression while honoring learner variability. Drawing on emerging research and classroom examples, the session invites educators to imagine how AI can amplify inclusive learning design. We will explore practical considerations such as scaffolding, enhancing relevance, and fostering learner agency–as well as questions generated among participants. Participants will leave with concrete ideas and reflective prompts to continue to examine the ways AI and UDL can be leveraged in complementary ways to reduce barriers and increase access for every learner.