Carnegie Mellon University’s Learnvia initiative, backed by the Gates Foundation, is rolling out AI‑enabled courseware aimed at improving outcomes in large introductory courses and saving faculty time. The pilot promises adaptive tutoring, automated feedback and analytics to help students progress more quickly while freeing professors for higher‑value instruction. At the same time education leaders and policy experts warn the national debate over AI in classrooms remains stuck between bans and overhyped promises. A policy convening organized by the Center on Reinventing Public Education urged a shift from binary arguments toward human‑centered implementation: define learning goals, set guardrails and measure outcomes to ensure tools actually serve students. Early pilots will test whether AI courseware can scale improved pass rates and reduce faculty workload; outcomes will inform accreditation, procurement and classroom policy decisions as districts and colleges weigh adoption.