Two years ago, most classrooms treated a chatbot as a novelty, something a curious student opened on the sly during study hall. Today it looks closer to infrastructure. UNESCO’s Digital Learning Week in Paris was built entirely around the theme “AI and the Future of Education: Disruptions, Directions and Dilemmas,” and the resulting report argues that AI should not be treated as a simple automation tool but as a force that pushes education systems to rethink their goals, values, and responsibilities. That framing is the right starting point for understanding how AI is changing education in 2026: this is not one new app quietly sitting in the corner of the classroom, it is a shift in how teaching, learning, and equity itself get defined.
For a nonprofit like Appropriate Development Technology (ADTech), which works to close both the economic and digital divide for underserved children through STEM and technology education, this shift matters directly. If AI tools are reshaping how children learn, then access to those tools, and the skills needed to use them well, becomes part of the same digital divide ADTech was built to close. A conversation about how AI is changing education is, in many ways, a conversation about who gets left behind and who gets pulled forward.
Why “How AI Is Changing Education” Is Suddenly Everyone’s Question
The numbers explain the urgency. A RAND Corporation survey of nationally representative samples of teachers, students, school leaders, and parents found that 54% of students and 53% of English language arts, math, and science teachers reported using AI for school in 2025, an increase of more than 15 percentage points compared with the prior year or two. A separate Gallup survey conducted for the Walton Family Foundation found that 60% of K-12 public school teachers used AI tools during the 2024–2025 school year, with 32% using them at least weekly. EdWeek Research Center data shows the same trend from a different angle: teacher use of AI nearly doubled between 2023 and 2025, jumping from 34% to 61%, with professional development sessions on AI roughly doubling over the same period.
Put those three studies side by side and a consistent picture emerges. This is the clearest evidence yet of how AI is changing education at the ground level, not as a distant policy debate confined to conference panels, but as something happening in a majority of American classrooms right now, often without a formal policy in place to guide it.
Where AI in Schools Is Actually Making a Difference
The Gallup-Walton Family Foundation study put a number on the most immediate benefit. Teachers who use AI tools at least weekly save an average of 5.9 hours per week, adding up to roughly six weeks of reclaimed time across a school year. That time savings shows up most in lesson planning, drafting parent communications, and grading support, the administrative load that has long fed teacher burnout and, in many districts, attrition. A separate breakdown found that a majority of teachers report AI saving them time on nearly every category of task they were asked about, from producing educational materials to analyzing patterns in student learning.
This is a central part of the broader story of how AI is changing education: AI is proving less useful as a replacement for teachers and more useful as a way to give teachers back the time they need to actually teach. UNESCO’s own guidance for policy-makers echoes this human-centered framing, stressing that AI should support, not substitute, the professional judgment of educators, and that the technology should never come at the expense of the relationships that make learning stick.
On the student side, use is concentrated in a few predictable areas. Pew Research Center data, cited in an analysis of AI teaching trends from Youngstown State University, found that the share of U.S. teens using ChatGPT for schoolwork doubled from 13% in 2023 to 26% in 2024, with usage highest among 11th and 12th graders at 31%, compared with 26% for 9th and 10th graders and 20% for 7th and 8th graders. When students do turn to AI, they use it most often for research at 54%, followed by solving math problems at 29% and writing essays at 18%. This pattern is a useful reminder that the impact of AI on education isn’t uniform. It looks different depending on subject, grade level, and what a student is actually trying to accomplish, and it means one-size-fits-all school policy is unlikely to serve every classroom equally well.
The Governance Gap: Where Schools Are Falling Behind
The same RAND survey that documented rapid adoption is also the clearest evidence that policy has not kept pace. As of spring 2025, only 35% of district leaders reported providing students with any training on AI, and more than 80% of students said teachers never explicitly taught them how to use AI for schoolwork. Only 45% of principals reported having any school or district policy on AI use at all, and just 34% of teachers said their district had guidance specifically addressing academic integrity and AI. Students in the same survey reported worrying about being falsely accused of cheating, while both students and parents said heavier AI use could erode critical thinking skills over time.
That gap is exactly why national and state bodies have moved to fill it. In October 2024, the U.S. Department of Education released a 74-page Toolkit for Safe, Ethical, and Equitable AI Integration, developed after listening sessions with 90 educators and a dozen roundtable discussions with school leaders held between December 2023 and March 2024. The Department’s Office for Civil Rights followed with guidance on avoiding discriminatory uses of AI in education, addressing how algorithmic tools can unintentionally disadvantage students with disabilities or English language learners if they are adopted without careful review.
More recently, following the April 2025 executive order “Advancing Artificial Intelligence Education for American Youth,” the Department issued a Dear Colleague Letter in July 2025 clarifying that federal grant funds can be used to procure AI instructional tools and to train educators, providers, and families to use them responsibly, while explicitly affirming that AI should enhance teaching without replacing the role educators play. Individual states have moved in parallel: as of 2025–2026, dozens of state departments of education have issued their own guidance, from Louisiana’s tiered “AI-Empowered to AI-Prohibited” framework to Tennessee’s legislatively mandated district policies, tracked in detail by Ballotpedia’s state-by-state AI guidance page.
At the global level, UNESCO has built out a parallel framework. It started with its 2023 Guidance for Generative AI in Education and Research, which called for human-centered use, stronger data privacy protections, and even an age limit for independent student conversations with generative AI tools. UNESCO followed this with AI competency frameworks for both students and teachers in 2024, structured around four pillars: human-centered thinking, AI ethics, technical understanding, and system design, as detailed in a comparative policy study on generative AI governance in higher education.
What Schools Need to Do Next
Given where the research and policy landscape currently stands, four priorities stand out for schools trying to move from ad hoc AI use to a real strategy that keeps pace with how AI is changing education.
- Close the training gap first. With roughly 80% of students saying no one taught them how to use AI for schoolwork, and roughly two-thirds of districts still lacking formal policy, professional development for teachers and explicit instruction for students should come before any large-scale tool rollout, not after. A rollout without training is how good intentions turn into inconsistent, confusing classroom experiences.
- Write clear, specific academic integrity policies. Vague “don’t cheat with AI” rules are not holding up under real classroom pressure. Districts need a policy that distinguishes between acceptable use, such as research, brainstorming, and receiving feedback, and prohibited use, such as submitting AI-generated work as one’s own. Tiered models already adopted by several states offer a workable template that other districts can adapt rather than build from scratch.
- Protect equity, not just efficiency. The Department of Education’s civil rights guidance is a reminder that AI tools can replicate or even worsen existing inequities if access, training, and oversight aren’t distributed fairly across schools and student populations. This is precisely the gap organizations like ADTech are concerned about, making sure AI literacy and access aren’t privileges reserved for well-resourced districts while lower-income schools are left to catch up on their own.
- Keep the human in the loop. Every major guidance document, from UNESCO to the U.S. Department of Education, converges on the same point: AI should support teachers’ judgment and expand access to quality instruction, not replace the relationship between a teacher and a student. That relationship, more than any tool, is still what drives learning outcomes.
A Closing Thought on Equity
The impact of AI on education will ultimately be decided less by the technology itself than by who gets trained to use it well. A child with no home internet access, no exposure to AI tools, and no instruction on responsible use starts the next decade already behind, which is exactly the digital divide ADTech was founded to address through its STEM and Technology Education for Children programs. As AI in schools becomes standard rather than exceptional, closing that access gap for underprivileged children is not a side issue sitting apart from the broader conversation. It is the next chapter of the same mission: making sure every child, regardless of income or zip code, has the tools and the training to build a technology-driven future for themselves and their families.
If you want to support that work, whether through volunteering, sponsorship, or simply spreading the word, you can get involved with ADTech here and help make sure the next generation of students in Houston isn’t left on the wrong side of the AI divide.