Vendors and campuses are rolling out AI‑first hardware and classroom strategies. Microsoft markets Copilot+ PCs to faculty as devices designed to accelerate research and reduce cognitive load, emphasizing on‑device neural processing and productivity gains. At the same time, classroom leaders and instructional designers report widespread changes in assignment design: teachers are teaching AI literacy, redesigning prompts to require higher-order thinking and embedding guardrails so students use generative tools to augment rather than replace learning. Campus leaders should align device procurement, faculty development and academic-integrity policies: investing in AI-capable endpoints without parallel professional learning and assessment redesign risks undermining learning outcomes. Enrollment and IT teams must coordinate on device standards, data-privacy controls and accessibility. Faculty governance bodies should update assessment policies and communicate clear expectations to students about permissible AI use in coursework.
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