Most schools now have AI rules. Few have an AI plan.

In 2 school years, AI went from an item for the next board retreat to something teachers, students and parents use every day. Policy is catching up. In the Consortium for School Networking's 2026 State of EdTech survey of 607 district technology leaders across 44 states, nearly 8 in 10 districts reported having AI guidelines, up from 57% the year before.¹

Guidance is spreading. Readiness is uneven.

More than 35 states have now published AI guidance for schools.² Ohio went a step further. Under House Bill 96, every public district, community school and STEM school had to adopt a formal AI policy by July 1, 2026, and the state published a model policy districts can adopt as written or adapt.³

But "having guidelines" covers a lot of ground. When researchers coded the AI policies of 122 districts and schools in 38 states, nearly 30% were still restricting or banning AI. The most common stance, at about 44%, allowed AI only when an individual teacher said so. Most policies treated AI as a student conduct issue and said little about staff use, purchasing or strategy.⁴

The national survey shows the same gap from another angle. Acceptable use policies (56%) and academic integrity policies (46%) grew quickly, but only 34% of districts have addressed AI in their data privacy policy. More than half of technology leaders (52%) say they are very concerned about a lack of teacher training, and 75% are very concerned about new AI-enabled cyberattacks.¹

What a school AI policy should cover

Whether you adopt a state model or write your own, a working policy answers 8 questions.

1. Who it covers. Students, teachers, staff and contractors, with clear expectations for each group.
2. Which tools are approved. A short list of school-licensed tools, with contracts that keep school data private and out of model training, so staff have a safe default instead of personal accounts.
3. What never goes into AI. Student names, grades, IEP details and other personal information stay out of any tool without a signed data agreement.
4. When students may use AI. By grade band and task, including the age limits in each tool's own terms of service.
5. How students show their work. Citation and disclosure expectations, and what counts as academic dishonesty.
6. How teachers use it. Planning, feedback and differentiation are common uses. Grading decisions and messages to families keep a human in the loop.
7. Who keeps it current. A small governance group that reviews new tools and revisits the policy every year.
8. How families hear about it. Plain-language communication, with an easy way for parents to ask questions.

A policy is a start, not readiness

Districts are moving from rules to practice. In 2026, 70% trained instructional staff on generative AI tools, up from 51%, and 64% now use AI somewhere in school operations.¹ Readiness is when the pieces line up: an approved tool, a written policy, training that continues through the year, and a group that owns the review.

The question is no longer whether to allow AI. It is whether your tools, rules and training point the same way.

A 5-question check for your next leadership meeting:

• Do staff know which AI tools are approved, and does each one have a signed data agreement?
• Is there a written policy for students and a separate one for teachers?
• Has every teacher had AI training this year, not just an optional session?
• Does someone own the policy review, with a date on the calendar?
• Could you explain your approach to a parent in 2 minutes?

Where Tech Plan Genie fits

Tech Plan Genie treats AI as part of your whole technology plan, not a side project. The AI Readiness & Responsible Use row in the Rubrics module scores your school on 5 levels, from no shared approach to purposeful, school-wide use with a governance group. The Checklists module asks whether you have a school-approved AI platform with student data protections and schoolwide AI expectations. The Policy Tracker shows which of your schoolwide, teacher and student AI policies are in place and when each is due for review. All of it feeds your AI-assisted Tech Plan.