10 Best AI Books for Teachers in 2026
Artificial intelligence is becoming a familiar part of education, whether teachers particularly welcome it or not. Students are experimenting with AI-generated answers, schools are reconsidering assessment policies, and educators are being introduced to an endless collection of tools promising to transform learning. For many teachers, the challenge isn't a lack of information. It's knowing which advice is worth following.
That's where a good book can make a difference. Rather than chasing individual technologies, the most useful professional reading helps teachers understand when AI can enhance learning, when it might undermine it and when traditional approaches remain perfectly effective.
Best for: Primary and secondary teachers getting started with AI.
Learning with AI: The K–12 Teacher's Guide to a New Era of Human Learning offers a practical introduction to artificial intelligence in schools. Written with José Antonio Bowen and C. Edward Watson, it explores lesson preparation, classroom applications and responsible technology use without assuming teachers need extensive technical knowledge.
Its greatest strength is its focus on real educational challenges rather than technological novelty. Teachers already confident with AI may find some material introductory, but for those beginning their journey, it's an excellent starting point.
Best for: Practical classroom ideas and saving preparation time.
Matt Miller's AI for Educators introduces ways teachers can use artificial intelligence to develop resources, streamline routine tasks and support student learning. Its conversational approach makes it particularly appealing to busy educators looking for ideas they can experiment with immediately.
Some individual tools and examples may date quickly, but the broader strategies offer useful inspiration for teachers developing confidence with AI.
Best for: Making AI part of meaningful classroom learning.
Holly Clark explores how artificial intelligence can support student creativity, engagement and learning experiences. Rather than treating AI simply as a time-saving assistant, The AI Infused Classroom encourages teachers to consider how technology might change the activities students complete and the skills they develop.
It's particularly relevant for educators ready to move beyond AI-generated worksheets and explore more thoughtful classroom integration.
Best for: Assessment design and academic integrity.
If students can generate convincing answers in seconds, what should assessment actually measure? Teaching with AI explores this increasingly important question alongside AI-assisted learning, assignment design and educational integrity.
Although primarily aimed at higher education, its discussions are also valuable for secondary teachers working with older students. The book encourages educators to focus less on detecting AI use and more on designing assessments that reveal genuine understanding.
Best for: Understanding how people and AI work together.
Ethan Mollick's Co-Intelligence isn't exclusively about education, and that's part of its appeal. It explores how artificial intelligence can influence creativity, productivity, thinking and decision-making.
For teachers, the book offers a useful perspective on AI as a potential collaborator rather than simply an answer generator. It won't provide a ready-made lesson plan, but it can help educators develop the wider technological understanding needed to make informed classroom decisions.
Best for: Busy teachers wanting a concise introduction.
Not everyone has time for a substantial academic book about artificial intelligence. Laura Knight's accessible guide introduces important opportunities and challenges surrounding generative AI in teaching without overwhelming readers with technical terminology.
Its shorter format makes it especially suitable for teachers beginning to explore the subject or professional learning groups looking for a manageable shared resource.
Best for: Turning AI awareness into classroom practice.
Leon Furze's Practical AI Strategies explores how educators can engage with generative AI while considering its implications for assessment, literacy and learning.
The book is especially useful for teachers who understand the basics but want to make more purposeful decisions about classroom applications. Its central value lies in connecting experimentation with educational objectives rather than adopting technology simply because it's available.
Best for: School leaders and responsible AI implementation.
Tony Frontier's AI with Intention reminds educators that technological decisions should begin with learning objectives, not the latest applications.
With principles and practical considerations for teachers and school leaders, the book offers a thoughtful approach to integrating AI into existing educational priorities. It's particularly relevant for schools developing shared expectations, policies and professional development around AI use.
Best for: Critical thinking and evaluating AI claims.
With so many companies promising personalised learning and revolutionary classroom experiences, teachers need the confidence to question what technology can actually deliver.
AI Snake Oil examines exaggerated claims, unreliable predictions and the limitations of artificial intelligence. Although not written specifically for educators, it provides a valuable counterbalance to more enthusiastic AI guides.
This may be one of the most important books on our list precisely because it doesn't assume that more technology automatically means better education.
Best for: Developing a broader understanding of educational AI.
Matthew Wemyss's AI in Education: An Educator's Handbook offers educators an introduction to artificial intelligence and its implications for teaching and learning.
Its handbook format makes it useful for teachers looking to build their AI literacy and explore potential classroom applications. Paired with a more critical resource, it can help educators balance practical experimentation with informed professional judgement.
The Bigger Picture: Good Teaching Still Comes First
Ten books might offer plenty of inspiration, but developing confidence with AI doesn't require an entirely new professional library. Perhaps the most reassuring lesson is that teachers don't need to become AI experts overnight. They need enough understanding to recognise useful opportunities, ask sensible questions and make informed decisions about their students' learning.
Technology will continue to change, but the professional judgement required to evaluate it will remain essential. Knowing when students need guidance, when they benefit from independence and when an activity genuinely develops understanding is still central to effective teaching.
As AI becomes increasingly common in education, which aspects of teaching should we embrace technology to improve, and which should remain guided by human judgement? Let us know in the comments below.
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