Each year brings a new question for district leaders to wrestle with, and right now, for a lot of K-12 administrators, that question is some version of: how do we actually do this AI thing well? Teachers are already using generative AI in K-12 classrooms to write lesson plans, respond to parent emails, and pull together differentiated materials. The question most districts are sitting with is how to make sure that use is consistent, responsible, and ethical rather than hit-or-miss. That’s a reasonable place to be, and it’s also a solvable one. The districts making real progress on AI professional development for teachers have a few things in common, and the research is getting clearer about what actually moves the needle. The AI Training Gap Is Real, and It’s Not Closing on Its Own According to a 2025 RAND Corporation study, roughly half of U.S. school districts reported providing teachers with some training on generative AI tools as of fall 2024. That’s double the share from the prior year, which reflects real momentum…but it also means the other half hasn’t started yet. Even among districts that have some form of AI training, that “training” varies widely. A single overview session at the start of the year is a very different thing from a structured, ongoing AI literacy program. 1 in 2 districts still hasn’t provided any formal AI training for teachers. Research from the Center on Reinventing Public Education helps explain part of why the gap persists: most teacher preparation programs aren’t covering AI literacy in any serious way. Where it does come up, it’s usually framed around student plagiarism rather than around helping teachers understand how to use the tools themselves. So, a lot of the staff now in your buildings walked in without any formal preparation for this, and in many cases your district is the first place they’ve encountered real guidance on AI training for educators. Most new teachers enter the classroom with zero formal AI training. For many, their district is the first place they’ll get it. A systematic review published in January 2026 reinforces the point: technical training alone doesn’t move the needle. Successful AI integration in classrooms tends to require a combination of pedagogical grounding, hands-on practice, and organizational support. Teachers need to understand not just how a tool works, but how to use it responsibly in an instructional setting, and that’s a more involved ask than most one-time PD sessions are set up to deliver. What Staff Are Actually Doing (and What They’d Like to Do) Our 2026 K-12 Lens survey, which gathered responses from over 1,000 school and district administrators, gives a useful picture of where AI use is landing right now. The most commonly cited use cases include: Instructional support (33% of responses) — lesson planning, differentiation, and pulling together materials for different reading levels Administrative writing (30%) — drafting emails, reports, and day-to-day documentation Special education (24%) — helping draft IEPs and evaluation reports One educator we surveyed described it this way: “I’ve started using it for parts of IEPs and evaluation reports. It cuts down the time a lot, especially when you already have the data.” There’s also a notable gap between what districts are doing now and what they want to be doing. Areas showing the strongest unmet interest include: Budget forecasting and financial analysis — only 15% are using AI here, but 47% want to Predictive models for student support — 26% using, 48% interested Workflow automation and operational processes — one of the fastest-growing areas of demand across district roles Adoption is still low in these areas not because districts are resistant, but because they don’t yet have the structures to move confidently into more complex use cases. The opportunity is real but the missing piece is usually the training. HAND-PICKED CONTENT FOR YOU Read Our Newest AI Report Read More Why One PD Day Doesn’t Get You There A pattern that shows up in the data and in conversations with district leaders: a school runs an AI overview session, teachers say it was interesting, and six months later the same handful of people who were already using AI are still the only ones using it. The problem isn’t that the session was bad. It’s that a single awareness-building event isn’t designed to change how people work. According to RAND, nearly all the district leaders they interviewed said their primary goal for AI training was to address teachers’ fears and confusion — a reasonable starting point, but not a complete program. Getting from “I understand what this is” to “I use this well and consistently in my classroom” requires: Practice and feedback —not just exposure to the tools, but time to actually use them in context Shared language around responsible use — so teachers aren’t making judgment calls about data privacy and academic integrity on their own Sequencing and structure — so learning builds over time rather than landing in one session and fading That’s what tends to get skipped when districts pull together AI professional development for teachers from a mix of free resources and YouTube videos. The individual pieces might be fine, but they’re not tracked, they’re not connected, and there’s no way to know what’s sticking or who still needs support. What Good AI Professional Development for Teachers Looks Like Effective AI PD for teachers tends to share a few characteristics: Grounded in real classroom scenarios, not abstract technology concepts Addresses responsible use, data privacy, and academic integrity head-on rather than as an afterthought Structured and returnable — something teachers can come back to over time, not a box to check at the start of the year Trackable — so district leaders actually know who’s completed what and whether it’s translating into practice Through our partnership with AI for Education, districts can: Give teachers access to four structured, self-paced AI literacy courses built around the questions educators are actually asking Move staff from foundational AI literacy through instructional planning, responsible use, and how to guide students in using AI well Replace passive reading with hands-on reflection activities and short videos that support real application Track completion, award credit and certificates, and tie learning directly to broader professional development goals See What AI Training Looks Like in Practice Fill out the form to explore a sample syllabus and preview how educators can engage with AI learning. Frontline’s K-12 AI Advisory Council Frontline’s K-12 AI Advisory Council brings together experienced district leaders to help shape how AI gets built into school operations — responsibly, strategically, and in partnership with the people who know schools best. As we move forward, we’re not just listening to administrators. We’re building with them. Meet the Council What Comes Next Our K-12 Lens research this year framed the moment in K-12 as a shift from permission to purpose: districts have moved past asking whether to use AI and are now wrestling with how to use it well. That’s genuinely good news. But “how to use it well” only stays a useful question if it has a real answer, and for most districts that answer has to include giving teachers the structured AI literacy training they need to actually get there. If your district is still in the cobbling-it-together phase, or hasn’t put anything formal in place yet, it’s worth taking a look at what a more intentional approach could do for your staff and for the students they’re working with.