Faculty are being forced into practical decisions about AI tools in teaching as schools race to set expectations for classroom use. The reporting describes how professors are navigating a “tightrope” between embracing AI to support learning and managing academic integrity, assessment reliability, and student dependency concerns. The article frames the problem as one of policy implementation rather than abstract debate: instructors need to revise how they design assignments, clarify expectations, and adjust pedagogy so AI use does not erase learning outcomes. For higher education leaders, the immediate impact is the operational workload—especially for departments updating syllabi and assessment methods while maintaining clear standards for students and consistent enforcement across courses.