Across the four sentiment areas, a not-insubstantial proportion of respondents selected "don't know" as their answer. These respondents might currently lack opinions or attitudes about their institution's AI-related strategies and planning because they are simply not in the know. Identifying where gaps might exist in awareness will be important for institutions that aim to garner collective buy-in and spur efforts toward effective AI adoption and implementation.

• Faculty, professionals, and staff know less than executives about AI strategy and readiness. Across all areas and items, executives were the least likely to select "don't know," while faculty and professionals/staff were the most likely, with the exception of some teaching and learning items (specifically those focused on faculty) (see table 1).
• Respondents know less about AI strategy in areas outside their responsibilities. Two groups—technology, data and analytics, and cybersecurity and privacy professionals, and business and operations professionals—were less likely to select "don't know" for items related to technology and IT support (see table 2). Business and operations professionals and teaching and learning professionals were somewhat more likely to select "don't know" for a number of the items related to strategy (AI as an investment, analytics, scalability, and adaptability) and were more likely to select "don't know" for items related to teaching and learning. Teaching and learning professionals were the least likely to select "don't know" for items related to faculty.
• Respondents without AI responsibilities know less about AI strategy and readiness. Across all sixteen items, respondents with AI responsibilities were less likely to select "don't know" than those with AI responsibilities (see table 3).