AI adoption in schools is mostly a people-change problem

Claim

AI adoption in education depends first on people, trust, routines, and shared expectations—not just on tools.

Supported by the source article as an institutional-strategy claim.

AI Priorities and the People’s Problem supports this claim through its discussion of this is relevant to higher education ai strategy, leadership development, governance, faculty development, and institutional ai literacy planning.
Tawnya Means Part 1 supports this claim through its discussion of strong relevance for higher education AI strategy, faculty development, learning design, apprenticeship models, tutoring, assessment, and institutional leadership.
Beyond the AI Inflection Point: Central Schools and the Innovation Lab Experiment supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
Teachers’ AI Literacy and Agency in AI Integration: A Qualitative Study of Teachers in Delhi Private Schools supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
AI Creep Is Real supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
Industry to Educators: Teach Human Skills, Not Just AI supports this claim by reporting employer demand for collaboration, communication, resilience, leadership, and cross-functional work as AI-era capacities that schools must cultivate alongside tool access.

Leaders should build confidence, shared language, coordination, and trust before relying on policy or tool deployment alone.