Summary
States can move from rapid AI guidance to durable AI literacy infrastructure by connecting guidance to teacher preparation, procurement guardrails, student learning outcomes, and evidence review.
Key evidence signals
- State readiness depends on whether AI guidance is connected to educator capacity, implementation conditions, and reviewable evidence.
- Policy activity increasingly places AI literacy, educator training, K-12 resources, and youth AI pathways within the education agenda.
- Readiness should be measured by infrastructure and evidence artifacts, not only by publication of guidance.
Recommendations
- Publish AI literacy frameworks that connect grade bands, disciplines, responsible use, and family communication.
- Fund educator professional learning before requiring student-facing outcomes.
- Launch low-stakes pilot networks before attaching AI literacy to accountability systems.
