At higher levels of readiness, curriculum integration moves beyond isolated modules toward intentional, school-wide coherence. AI-related competencies, such as ethical reasoning, verification, adaptability, and collaborative problem-solving, should be embedded across disciplines.

Schools in the early stages of AI integration may be discussing future readiness, but AI concepts are often absent from current curriculum maps, or they’re included only in certain electives.

As schools advance in AI readiness, challenges related to professional development and pedagogy shift from piloting to refinement and leadership. At these levels, AI-related PD should be systematic, embedded in faculty excellence frameworks, and connected to lesson redesign and instructional coaching.

Many schools in the early stages of AI integration are experimenting in scattered ways — offering a PD session here, introducing a new classroom tool there — without a cohesive plan to build faculty confidence or ensure student benefit.

Most schools believe in teacher professional growth. Far fewer have built a coherent system to support it. Professional development budgets are unevenly distributed, coaching relationships are informal or inconsistent, and growth goals set in September often fade by November.

Many schools rely on rotating evaluation cycles because evaluating every teacher every year feels impossible. Veteran teachers move to a three-year schedule, administrators focus where problems appear, and the system feels manageable.

Belonging to a community is essential to student well-being and academic success. It also influences other critical outcomes: retention, word-of-mouth marketing, and giving. Good schools carve out time in their schedule to build community intentionally, something ISM calls “Community Time.” 

As schools reach higher levels of AI readiness, AI literacy, ethics, digital citizenship, and equitable access must be integrated into a coherent, mission-aligned approach that is sustainable, measurable, and trusted.