State of the Nation: AI in Education - What Educators Need to Know

Artificial intelligence is no longer something schools are preparing for “in the future.” According to the new State of the Nation: AI in Education report, AI is already embedded in the daily reality of teaching, learning, assessment, and safeguarding across the UK.

The report paints a picture of rapid adoption, growing opportunity, and increasing concern that policy, training, and governance are struggling to keep pace. For educators, the message is clear: AI is becoming part of the professional landscape, whether schools feel ready or not.

AI adoption in schools has accelerated rapidly

One of the report’s standout findings is just how quickly teacher use of AI has grown.

According to the National Education Union survey cited in the report, 76% of teachers now use AI for day-to-day work, compared to 53% just a year earlier.

Lesson planning is currently the most common use case, followed by administration, report writing, and feedback. The report also highlights strong evidence that AI can reduce workload. An EEF and NFER trial found that structured use of ChatGPT reduced lesson planning time by 31%, saving teachers around 25 minutes per lesson without reducing the quality of resources produced.

For many educators, this reflects lived experience. AI tools are increasingly being used to:

• Draft lesson resources,
• Generate differentiated activities,
• Create quizzes and retrieval tasks,
• Support report writing,
• Simplify administrative tasks,
• Adapt materials for SEND learners.

The report suggests that workload reduction is currently the clearest evidence-backed benefit of AI in education.

The report argues that schools can no longer afford to treat AI use as a niche issue. Students are already experimenting with AI for homework, revision, tutoring, and social interaction — often independently and without structured guidance.

For educators, this raises important questions:

• What does acceptable AI use look like?
• How should schools teach AI literacy?
• How do we balance opportunity with academic integrity?
• And how do we ensure pupils can critically evaluate AI-generated content?

The report notes that only 47% of pupils feel confident judging whether AI-generated content is accurate.

The AI training divide is becoming a major issue

One of the report’s strongest themes is inequality.

While AI adoption is increasing across the sector, access to training and strategic support is not evenly distributed. According to the Sutton Trust data referenced in the report:

• Only 21% of state school teachers have received formal AI training,
• Compared to 45% in private schools.

Private schools were also far more likely to have a whole-school AI strategy in place.

The report warns that this could create a new digital divide, where some schools develop confident, informed approaches to AI while others are left reacting to change without training, policy, or support.

This has implications not only for staff confidence, but also for pupil opportunity. The report highlights evidence showing significantly higher AI use among pupils in private schools compared to those in state schools.

For school leaders, this reinforces the importance of:

• Investing in staff development,
• Creating consistent school-wide approaches,
• Ensuring AI literacy becomes part of ongoing professional learning rather than relying on individual experimentation.

Safeguarding is now central to AI discussions

A major focus of the report is the changing safeguarding landscape around AI.

One particularly striking statistic from Internet Matters found that 12% of children using AI chatbots reported doing so because they had “no one else to talk to.”

This reinforces that AI conversations in schools are no longer just about productivity or plagiarism. They are increasingly about wellbeing, digital literacy, online safety, and safeguarding.

Assessment and academic integrity remain unresolved

The report acknowledges that schools and awarding organisations are still navigating the implications of AI for assessment.

JCQ guidance now makes clear that:

• Students must acknowledge AI use,
• AI-generated work submitted as original is malpractice,
• AI cannot be the sole marker in assessment systems.

Yet the report also recognises the growing difficulty of detecting AI-generated content as tools improve.

Rather than framing AI simply as a “cheating problem,” the report suggests the sector may need to rethink how learning, drafting, and independent work are assessed in an AI-enabled world.

Seven priorities for schools and policymakers

The report concludes with seven practical priorities for action. These include:

• Establishing UK-wide standards for AI governance,
• Embedding AI literacy into teacher training,
• Creating whole-school AI strategies,
• Publishing clear staff and student AI policies,
• Investing in teacher CPD,
• Ensuring EdTech companies meet safeguarding expectations,
• Expanding rigorous research into AI’s impact on learning.

For educators, perhaps the most important takeaway is that waiting is no longer a strategy.

The report argues that schools are already operating in an AI-shaped educational landscape. The challenge now is ensuring that adoption is thoughtful, equitable, safe, and pedagogically sound.

Final thoughts

The State of the Nation: AI in Education report captures a sector at a significant turning point. AI is no longer hypothetical in schools — it is already changing how teachers work, how students learn, and how schools think about assessment, safeguarding, and digital literacy.

What remains uncertain is not whether AI will influence education, but whether schools will have the support, training, and governance structures needed to use it well.

For educators, the conversation is shifting from:

“Should we use AI?”

to:

“How do we use it responsibly, critically, and in ways that genuinely benefit learners?”

That may be the most important educational question of the next decade.

Source report: State of the Nation: AI in Education (May 2026) 

At a time when many schools are still developing their approach to AI, being part of a professional community can help educators move from experimentation to confident, informed practice.

Whether you are just beginning to explore AI or already embedding it across your school, the CAS AI Community provides a supportive space to learn alongside others navigating the same rapidly changing landscape.