A sector-facing report argues that resistance to AI adoption is measurable, and that higher education may need to respond with both usability and governance expectations rather than assuming compliance will follow deployment. The piece cites global survey findings that show many enterprise workers are bypassing AI tools and completing tasks manually. It links the reluctance to real concerns about loss of human interaction, privacy skepticism, and dissatisfaction with AI performance versus existing services. The article also uses Gen Z polling to show a sharp drop in AI excitement and hopefulness, even among daily AI users. For universities and colleges, the message is direct: AI literacy programs and adoption strategies may need to address trust, transparency, and workflow fit, while rethinking assessment approaches that assume student use will be straightforward.