Research described a fragmented AI classroom landscape, with most educators saying their districts lack a districtwide initiative focused on AI. In an EdWeek Research Center survey, 73% of educators reported no districtwide AI initiative, while 61% of teachers said they use AI-driven tools in the classroom, leaving a sizable minority either not using or planning to avoid the technology. Separate research on students’ experience highlights a parallel concern: AI is producing stress rather than just productivity gains. A survey of more than 1,200 Australian students found AI fears cluster around being wrongly flagged for misconduct, privacy concerns and inequities in grading. While 84% of Australian students reported using AI tools at least occasionally, many expressed anxiety about institutional responses to AI in assessments. At the instruction level, the key pattern is uncertainty—policy gaps, inconsistent detection practices and uneven guidance. Students and faculty are therefore navigating “how to comply” as much as “how to learn.” For university leaders, these findings point to the immediate agenda: align institutional AI policies with clear academic expectations, transparency in review processes, and training that reduces student misconduct false positives.