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1. AI is everywhere, policy is nowhere

Our research shows

Adoption is outpacing preparedness. Faculty, staff, and students are integrating AI into daily workflows, but without institution-wide frameworks to ensure ethical, effective use. Universities in the UK are beginning to form AI taskforces and develop governance frameworks that align data privacy, academic integrity, and institutional values.

0%

57% of American schools and institutions offer AI tools to staff

But just 40% of administrators and 30% of instructors use AI tools

9 in 10 Gen Z

and 7 in 10 Millennial educators reported regular AI use in the classroom

Yet only 28% of institutions

have policies in place, and another 32% are still developing them

28%

of higher-ed administrators in the UK believe their LMS/VLE meets the evolving needs of students and educators

62% of educators say they prefer their own AI tools over institution-provided ones, citing flexibility and features

51% of students will continue to use generative AI tools even if they were prohibited by their instructors or institutions

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Man presenting to a group

Actions to consider

  • Audit AI usage across academic and operational functions to identify gaps.
  • Create institution-wide governance frameworks grounded in ethics, accessibility, and transparency.
  • Provide ongoing professional development for staff on responsible AI practices.
  • Align AI strategy with institutional mission and digital learning goals.
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Key takeaway

AI policy must evolve from piecemeal to purposeful. Clear frameworks enable innovation while preserving trust and equity.