Will AI replace teachers? What the data says in 2026

No, AI is not going to replace teachers, but it is already changing the job, starting with lesson planning, grading and one-to-one practice. The U.S. Bureau of Labor Statistics (BLS) rates school teachers’ AI exposure as high, yet when it explains why teaching jobs will barely grow to 2035, the reason it gives is falling student enrollment, not AI.

That distinction matters, because most of what you read about AI and teaching is opinion. This article sticks to the data: what the official projections say, what AI can and can’t do in a classroom according to studies of real AI use, what the evidence on AI tutors actually shows, and which education jobs are most exposed. If you’re here for a debate or an essay, there’s a section on the strongest arguments on both sides.

The numbers: what the data says about teaching jobs

In August 2026 the BLS published official AI exposure ratings for 831 occupations, alongside its job projections for 2025 to 2035. The ratings combine five research measures, including real-world AI usage data from Anthropic and Microsoft, and sort occupations into four groups from low to very high exposure. Here is where teaching lands:

Three things stand out.

School teachers are less exposed than many office jobs. Elementary, middle and high school teachers are rated “high,” one level below accountants, lawyers and software developers. Preschool and kindergarten teachers are only “moderate.”

Teaching jobs are flat, and AI isn’t the reason. The U.S. has more than 3.1 million elementary, middle and high school teachers, and the BLS expects that number to hold roughly steady. Its explanation: public school enrollment is expected to fall as there are fewer school-age children, and hiring depends on state and local budgets. The steep drop for adult education and ESL teachers has the same cause: fewer adults are enrolling in those programs.

There is still a teacher shortage. The BLS expects about 200,000 openings a year for elementary, middle and high school teachers, mostly to replace people who retire or leave. The Learning Policy Institute counted at least 411,549 U.S. teaching positions in 2025 that were either vacant or held by a teacher not fully certified for the role, about 1 in 8 nationally. That is not the picture of a profession being automated away.

Can AI replace teachers? What AI can and can’t do in a classroom

The most useful evidence comes from how people actually use AI. Microsoft analyzed 200,000 anonymized conversations with its Copilot assistant and scored every U.S. occupation on how much of its work AI was used for and how well. Elementary school teachers scored 0.19 and high school teachers 0.18, higher than about three in five occupations but far below the most exposed office jobs.

The task-level data is more revealing. Among the activities that make up a high school teacher’s job, AI did best at preparing teaching materials: it completed about 90% of those requests and covered a larger share of the activity than any other teaching task. It also did well at explaining subjects, completing about 86% of conversations where people asked it to teach them something. It covered far less of monitoring students’ behavior and progress, the part of the job that happens in the room.

Put together, a teacher’s week splits like this:

• Most exposed: preparation and paperwork. Lesson plans, worksheets, quizzes, rubrics, differentiated versions of a text, report-card comments and parent emails. AI drafts these in seconds; a teacher still checks and adapts them.
• Partly exposed: explanation and practice. Re-explaining a concept, generating practice questions and giving first-pass feedback on written work. AI can do much of this one-to-one, which is where AI tutors come in.
• Least exposed: the classroom itself. Managing behavior, motivating a reluctant teenager, noticing a child who is struggling at home, keeping students safe, working with parents and judging what each student needs next. This is most of what schools hire teachers for.

How teachers are already using AI

AI is not a future scenario in schools; it is already part of many teachers’ weeks. A Gallup–Walton Family Foundation survey published in June 2025 found that 60% of U.S. teachers used an AI tool for their work during the 2024–25 school year, though only 32% used it at least weekly.

The ones who used it weekly reported saving an average of 5.9 hours a week, which adds up to about six weeks over a school year. Teachers said AI improved their work most when adapting materials to students’ needs, getting insights from student data, and grading and giving feedback. Only 19% of teachers worked at a school with an AI policy, so most are figuring it out on their own.

That is the realistic near future of AI in teaching: less time on preparation and marking, and more time, in theory, for students.

Do AI tutors work? What the evidence shows

The strongest argument that AI could replace some teaching comes from AI tutoring, and there is now real evidence behind it.

In a randomized trial published in Scientific Reports in June 2025, Harvard physics educators compared an AI tutor with an active-learning class in Physical Sciences 2, Harvard’s largest introductory physics course, with 194 students in the study. Students learned significantly more in less time with the AI tutor, and they reported feeling more engaged and motivated.

Before reading that as “AI beats teachers,” note three caveats:

• The tutor was purpose-built. It was a custom tutor designed around the same research-based teaching methods as the class, not a general chatbot.
• It was college students in one course. Self-directed adults studying physics are very different from a class of nine-year-olds or a room of teenagers.
• It replaced a lesson, not a teacher. The course, its goals and the students’ progress were still in the hands of the instructors.

The fair reading: well-designed AI tutoring can make practice and explanation much more effective. That makes good teachers more productive. It doesn’t remove the need for them.

The debate: can AI replace teachers?

If you’re preparing for a debate or writing an essay, these are the strongest arguments on each side.

Arguments that AI could replace teachers

• AI is available 24 hours a day and never runs out of patience.
• It can tailor practice and explanations to each student’s level, something one teacher with 30 students can’t do.
• It scales cheaply, which matters where there are teacher shortages or no qualified teacher at all.
• Controlled studies, such as the Harvard trial above, show AI tutoring can raise learning in some settings.

Arguments that AI won’t replace teachers

• Schools do far more than deliver information: they supervise, socialize, protect and care for children.
• Motivation, trust and belonging drive learning, and they come from relationships with people.
• AI still makes confident mistakes, and young students can’t reliably spot them.
• Someone has to be accountable for a child’s safety and progress, and parents expect that to be a person.
• The official projections show steady demand for teachers, with shortages in many places.

On balance, the evidence supports AI as a powerful assistant and tutor, and teachers as the people who decide how it is used.

Will AI replace professors?

College teaching is more exposed than school teaching. Most postsecondary teaching fields are rated very high for AI exposure by the BLS, and in Microsoft’s data several of them rank among the most AI-applicable occupations of all: postsecondary business teachers are 17th of 785 occupations, economics teachers 27th and history teachers 41st. Lectures, academic writing and explaining ideas are exactly what AI does well.

Even so, the BLS projects postsecondary teacher jobs to grow 7% from 2025 to 2035, with about 103,300 openings a year, because more people are expected to enroll in college and more health workers will need training. Health specialties teachers alone are projected to grow nearly 18%. The catch is the type of job: the BLS expects colleges to hire more part-time instructors, with a limited number of full-time and tenured positions. Lecture-heavy, part-time roles are where AI pressure will be felt first.

Which education jobs are most and least at risk?

Most exposed:

• Tutors are rated very high by the BLS and sit in the top 15% of Microsoft’s occupations for AI applicability. Homework help and test practice overlap directly with AI tutors.
• Adult education and ESL teachers are rated very high and face a projected 14% decline, mainly because enrollment is falling.
• Professors in lecture-heavy fields face the most change in how they teach and assess.

Least exposed:

• Preschool and kindergarten teachers are only moderately exposed. Preschool teacher jobs are projected to grow 4.5%.
• Special education teachers work closely with individual students and their families, adapting to needs that change day to day.
• Elementary teachers spend most of the day managing, caring for and teaching young children in person.

Our own scoring agrees. We score typical task mixes with exactly the same method our free test uses on a real person’s week. A typical school teacher scores 32 out of 100, in our moderate band, far below office jobs such as bookkeepers and copywriters:

If you want to stay in education but change roles, these careers from our index build directly on a teacher’s skills:

Will AI replace teachers in the future?

Not on any timeline the official data can see. The BLS projections run to 2035, about ten years out, and they show demand for teachers holding steady while schools still struggle to fill posts. Nobody can promise what AI will do after that, but replacing teachers would mean replacing what schools do for children, not just what they teach.

What will change is the shape of the job. Expect AI to take a growing share of planning, marking and individual practice, and expect teachers to spend more of their time on small groups, coaching, behavior and the students who need help most. Teachers who can direct AI tools well, and check their output, will get the most time back.

How teachers can stay ahead of AI

The principle is the same in every job we cover: let AI do the production, and keep ownership of the judgment. Here is what that means for each type of task our test measures.

For teachers, five moves matter most:

1. Use AI for preparation, not for judgment. Let it draft the worksheet or the rubric; you decide what each class needs and check everything it produces.
2. Spend the time you save with students. The value of the six weeks a year comes from what you do with it: small-group work, feedback conversations, catching problems early.
3. Teach students to use AI well. Showing students how to question, check and improve AI output is becoming part of the job, and it is something AI can’t do for them.
4. Build the relationships AI can’t. Strong relationships with students and parents are the most protected part of teaching, and they matter more as routine tasks are automated.
5. Consider the most resilient specialties. Early childhood, special education and hands-on subjects are the least exposed parts of teaching.

For a step-by-step plan, see our guide to the skills AI can’t replace. To see which jobs are really shrinking, read what jobs will AI replace?, and for the safest careers overall, our ranking of the 25 most AI-proof jobs.