While AI can offer tools for improving education, relying solely on it for universal access risks exacerbating existing inequalities. AI systems often inherit biases from their training data, and deploying them broadly without careful consideration can lead to cookie-cutter solutions that fail to address local needs. Genuine universal access requires holistic approaches that include human oversight, investment in local educators, and the safeguarding of students' privacy.