The Next 10 Years Will Change Education More Than the Last 100: How AI Is Reinventing School

Parents should probably be angrier than they are. Not at teachers. Not at schools for failing to buy enough tablets. Parents should be angry because the gap between the world children are being prepared for and the world they will actually enter is becoming enormous.

Outside school, artificial intelligence can already read, write, translate, code, analyse images, explain mathematics, create simulations, generate video, critique arguments, search enormous bodies of information and tutor someone conversationally for hours. Inside many schools, a fourteen-year-old is still told: copy this from the board, memorise these notes, complete questions 1–10, do not use AI, study the mark scheme, sit the examination, wait for the grade.

The problem is not that parents do not care. It is that most parents have not yet grasped how rapidly the underlying economics of knowledge have changed.

For most of human history, expert knowledge was scarce. A good teacher knew things you did not know. A good textbook contained information you could not easily obtain elsewhere. A good school collected teachers, books, laboratories and other learners in one place. Education therefore revolved around access to scarce knowledge.

Then came the internet. Knowledge became searchable. Now comes artificial intelligence. Knowledge is becoming interactive.

A child can increasingly ask an AI system to explain dividing fractions using pizza, show it visually, make the example easier, quiz them without revealing the answer, diagnose where their reasoning failed and try again — in the language they understand best, without embarrassment and without holding up the rest of a class.

This does not mean AI has solved education. It has not. AI can hallucinate, encourage intellectual laziness, reinforce bias and confidently give a child a wrong answer. But the technology does not have to be perfect to overturn the assumptions on which mass schooling was built.

The OECD’s Digital Education Outlook 2026 describes generative AI as different from earlier waves of education technology because it is intuitive, widely available and often used outside institutional control. It reports that 37% of lower-secondary teachers were already using AI for their work in 2024. OECD Digital Education Outlook 2026.

This is not another interactive whiteboard. It is the beginning of a different educational architecture.

For 100 years, the basic classroom barely changed

Walk into a classroom in 1926 and then one in 2026. The clothes changed. The blackboard may have become a smartboard. There may be laptops on desks. But the organisational logic is instantly recognisable: one adult, a group of same-age children, a timetable, subjects, lessons of fixed duration, a curriculum determined in advance, assignments, tests, grades and promotion according to age.

The twentieth century brought huge educational gains: mass access, wider participation for girls, expanded universities, better special-needs provision, richer curricula, computers and the internet. But the fundamental delivery mechanism remained surprisingly stable.

Thirty children still generally receive the same lesson at roughly the same time even though they are thirty different human beings with different backgrounds, speeds, interests, strengths and gaps. The structure survives partly because personalisation has always been expensive. AI is beginning to weaken that constraint.

1. Every child can have something approaching a personal tutor

High-quality one-to-one tutoring has long been known to be powerful. The obstacle was economics: one tutor for one child is expensive; one teacher for thirty children is affordable. AI changes that ratio.

Stanford researchers testing Tutor CoPilot, an AI system that assists human tutors, found students whose tutors had AI assistance were four percentage points more likely to master mathematics topics, with larger gains among students working with lower-rated tutors. Stanford SCALE.

A randomized study published in Scientific Reports in 2025 found that students using a carefully designed AI tutor learned more in less time than students in an active-learning classroom and reported greater engagement and motivation. Harvard research summary.

But good educational AI is not simply an answer machine. The OECD warns that general-purpose AI can improve the quality of outputs without producing genuine learning when students outsource the thinking. The valuable tutor asks why, challenges assumptions, requests evidence, withholds answers when appropriate and changes strategy when the learner is stuck.

The important question may eventually stop being “Does this child have a tutor?” and become “How good is this child’s AI tutor?”

2. “The class is on Chapter 7” will begin to sound absurd

Traditional schooling operates through synchronisation. Everyone reaches Chapter 7 in November because November has arrived. It does not matter that one child mastered Chapter 6 three weeks ago while another still does not understand Chapter 4. The class moves.

Adaptive learning makes another model possible. A system can continuously estimate what a learner understands, then alter the next activity — not the next semester, the next question.

Google has already been integrating AI-generated quizzes, differentiated content, teacher-created study tools and NotebookLM-style learning environments into its education ecosystem. Google for Education.

Age may gradually matter less than mastery. A ten-year-old can be advanced in mathematics, average in writing, obsessed with astronomy, a beginner in Spanish and unusually strong in animation. That is what children have always been like. The industrial classroom simply forced irregular abilities into neat horizontal lines called grades.

3. Textbooks will become conversations

A printed page cannot notice confusion, translate itself, redraw an explanation, become easier, become harder or ask a follow-up question. AI changes the educational object itself.

Tools such as NotebookLM can already work over selected source materials and produce summaries, study guides, questions, audio explanations, quizzes and other learning formats. Google education AI tools.

A book used to say: “Here is what I contain.” The new book increasingly says: “What would you like to understand?”

4. Education will become multimodal

Education has historically privileged words and numbers. AI can increasingly move between text, speech, images, diagrams, video, code, music, 3D models and simulations.

A child confused by the circulatory system might enter a three-dimensional model of a heart, slow the flow, isolate the pulmonary circuit and be asked to predict where a blood cell travels next. A history learner might explore a simulated city while questioning an AI guide. A mathematics learner might practise percentages by running a virtual shop.

The OECD has documented growing experimentation with augmented reality, virtual reality and digital twins in education and technical training while also warning about costs, evidence quality, privacy and implementation. OECD Trends Shaping Education 2025.

Generative AI matters because it can dramatically lower the cost of producing these experiences. Educational media that once required teams of designers and programmers will become cheaper, more plentiful and more personalised.

5. Language and accessibility barriers will weaken

Translation, speech recognition, text-to-speech, captioning and synthetic voice are improving simultaneously. A lesson can increasingly become subtitles, another language, audio, simplified text or a visual explanation.

UNICEF has highlighted AI-supported accessible textbooks and learning tools that can incorporate text-to-speech, sign-language video, adjustable presentation and interactive features, while stressing the need to protect children’s rights and safety. UNICEF guidance on AI and children.

This does not abolish inequality, but it weakens the historical relationship between where a child lives, what language they speak and what knowledge they can reach.

6. Teachers will become more important — but their job will change

Children still need adults: encouragement, judgment, boundaries, role models, community and someone who notices when a normally lively child has been silent for three days. A chatbot cannot responsibly carry the full social and moral weight of education.

But “teachers will still exist” is not the same as “teaching will remain the same.” UNESCO describes an emerging teacher-AI-student dynamic and has created AI competency frameworks for educators. UNESCO AI competency framework for teachers.

Lesson planning, differentiation, practice-question generation, translation, routine feedback, resource organisation and administration can increasingly be accelerated by AI. That leaves more of the work humans are uniquely good at: observing, coaching, motivating, leading discussions, resolving conflict, building community and knowing the child.

AI may remove some of the least human parts of teaching and make the most human parts more important.

7. Homework as we know it is in trouble

“Write 1,000 words on the causes of the First World War” became a different assignment the moment language models could produce a competent answer in seconds. Schools initially treated this as a cheating problem. It is also an assessment-design problem.

If software can complete an assignment almost instantly, schools have to ask what the assignment was actually measuring: writing, knowledge, research, reasoning, persistence or polished prose? Those are no longer necessarily the same thing.

The International Baccalaureate has argued for teaching students to use AI ethically rather than pretending it can simply be banned, while Cambridge has formal rules governing generative AI in assessed work. IB academic integrity guidance.

Assessment will increasingly need oral defence, live problem-solving, projects, portfolios, experiments, presentations, process evidence and questions such as: What did you make? What did the AI get wrong? Which decisions were yours? Why did you choose this method?

8. AI literacy will become basic literacy

UNESCO’s student AI competency framework covers human-centred thinking, ethics, AI techniques and applications, and AI system design. UNESCO AI competency framework for students.

Children will need to know what AI is, why models hallucinate, how training data can create bias, how to verify claims, how synthetic media works, how personal data can be exposed, how algorithms influence decisions, how to collaborate with AI and where human responsibility cannot be delegated.

This will become as basic as teaching children not to believe everything they read online — perhaps more basic, because the internet mostly waited for you to search it. AI talks back.

9. Asking good questions will become more valuable than retrieving answers

Traditional education places extraordinary emphasis on answers: What is the capital? Solve for x. What year? Define photosynthesis. AI sharply lowers the cost of retrieving many answers, but it raises the value of deciding which question matters.

Two students can use the same AI very differently. One asks it to write the essay. The other asks it to identify assumptions in five competing explanations, find the evidence that could falsify them and challenge the student’s own argument. Same technology. Completely different intelligence.

The future advantage will not belong merely to people who can operate AI. Almost everyone will be able to operate AI. It will belong to people with enough knowledge, curiosity and judgment to direct it toward worthwhile problems.

10. The boundaries between subjects will weaken

Real problems refuse to remain inside school departments. Climate change is chemistry, physics, economics, politics, geography, engineering, statistics, psychology and ethics. Building a business combines mathematics, writing, design, technology, law, finance and communication.

The World Economic Forum’s Future of Jobs Report 2025 says a large share of workers’ core skills are expected to change by 2030. AI and big data are among the fastest-growing technical skills, while analytical thinking, creativity, resilience, leadership and collaboration remain critical. World Economic Forum Future of Jobs Report 2025.

The valuable person increasingly combines domains. Education will have to follow.

11. Making things will matter more than completing things

There is a profound difference between “complete this assignment” and “make something that works.” AI lowers the technical barrier to creation. Children can increasingly code applications, create animations, compose music, analyse datasets, build websites, prototype products, design games and edit films.

A twelve-year-old interested in marine biology might build a database of local species, map water-quality readings, interview a scientist, use AI to analyse the data, discover the AI made a statistical mistake, correct it, build a website and present the findings. Biology suddenly becomes mathematics, computing, writing, design, epistemology and communication.

And there is something real to show at the end: a portfolio, not merely a grade.

12. Credentials will face competition from demonstrated capability

Degrees and examinations are not about to disappear. Medicine, engineering, law and other fields need trustworthy standards, and universities will continue using qualifications for selection. But credentials increasingly face a competitor: evidence.

Can you code? Show me. Can you design? Show me. Can you write? Show me. Can you analyse data? Here is the dataset. Can you research? Where is the work?

The twentieth-century model was education, then career. The emerging model is education, work, new education, new work and repeated reinvention. Learning becomes infrastructure for life.

13. “School” and “education” will separate

For generations, “Where does your child go to school?” and “How is your child being educated?” were almost the same question. Once high-quality learning can happen anywhere, they separate.

A child might learn mathematics with an AI tutor, history through museums and primary sources, writing with a mentor, programming through projects, science in a laboratory cooperative, sport through a club and music from a teacher across the world — while still attending a conventional school for part of the week.

The future may not belong to homeschooling versus schooling. It may belong to unbundling.

14. The timetable itself will come under pressure

Why does history have to last 45 minutes? Why must mathematics stop when a child is deeply engaged? Because timetables solve an institutional problem: coordinating teachers, rooms and groups.

Personalised learning weakens that constraint. A learner might complete one concept in eighteen minutes, spend ninety minutes writing, spend two hours building something and return to mathematics when spaced retrieval is actually useful.

15. Education will know far more about every learner

Digital learning systems can potentially record which questions a student misses, how long they hesitate, recurring misconceptions, which explanations work, reading patterns, confidence and disengagement.

The upside is earlier intervention and better personalisation. The danger is surveillance, permanent labelling and misuse of children’s data. UNESCO and UNICEF have repeatedly stressed privacy, bias, safety and children’s rights in AI-enabled education.

A personalised system that knows a child intimately could be wonderful. A surveillance system that permanently classifies a nine-year-old as “low ability” would be horrifying.

16. AI could reduce inequality — or supercharge it

Imagine a child in a remote area with a cheap device, internet access, a multilingual AI tutor, open textbooks, world-class lectures, speech translation, coding tools and personalised practice. That is historically unprecedented access to expertise.

Now imagine another child with faster devices, paid models, AI-literate parents, private mentors, laboratories, travel and specialist schools. AI can democratise expertise, but wealthy families can combine that expertise with every offline advantage they already possess.

The new inequality may therefore become educational judgment: two families can have access to the same AI; one uses it to help the child avoid thinking, the other uses it to make the child think harder.

17. The human parts of childhood will become more valuable, not less

If AI can write, calculate, translate, code, generate images, summarise, analyse and search, what becomes more valuable? Judgment. Taste. Curiosity. Courage. Integrity. Empathy. Leadership. Communication. Resilience. Originality. Physical competence. Friendship. Self-knowledge. The ability to tolerate boredom. The ability to decide what is worth doing.

The paradox of AI is that the more capable machines become, the less sensible it becomes to educate children like machines.

This does not mean screens should take over childhood

There is a terrible version of the AI education revolution: children alone for eight hours while algorithms optimise engagement, every click monitored, no teachers, no mud, no football, no arguments, no boredom, no friendship and no messy physical world.

That would not be educational progress. The OECD’s research on digital technologies repeatedly stresses that access to technology alone does not guarantee better learning. Pedagogy matters. OECD on digital technologies and learning.

The sensible principle is to use technology for the things technology does exceptionally well so children have more time for things humans need to experience themselves.

Parents should be asking much harder questions

If all of this is happening, the question parents ask schools cannot remain “How many A*s did you get last year?”

• How are children taught to use AI?
• How are they taught not to use it?
• How do you verify that they can think without it?
• Can children progress at different speeds?
• What do they actually build?
• How much project work, public speaking, financial literacy, coding, art and outdoor time do they get?
• Can they verify sources and challenge an AI answer?
• Do they leave with a portfolio?
• Do they know how to learn something without being taught?

If this school were invented today, knowing everything we know about children, learning, technology and the future of work, would we design it this way?

The school system’s biggest enemy is not AI. It is speed.

Schools survived predictions about radio, television, computers, the internet and MOOCs. The sceptic therefore has a reasonable question: why should AI be different?

Because AI is not merely another channel through which educational content arrives. Television could show you a lecture. The internet could find you a lecture. AI can increasingly conduct the lesson: respond, adapt, question, generate, observe, translate, simulate, evaluate and change strategy.

The real race is not teacher versus AI. It is institutional adaptation versus technological acceleration.

School systems change curricula over years. AI models change capabilities over months. That mismatch is going to become painful.

By 2036, the idea of education itself may look different

No one can predict exactly what education will look like ten years from now. There will still be schools, teachers, books, exams and children who would rather kick a football than learn fractions. Technology does not abolish human nature.

But several directions are difficult to ignore: more personalised learning; more capable AI tutors; conversational and multimodal content; weaker language barriers; teachers working alongside AI; more authentic assessment; AI literacy as a foundation; adaptive progression; cheaper simulations; easier creation; stronger portfolios; and learning spread across more locations and institutions.

Education may change more between 2026 and 2036 than it did between 1926 and 2026 — not because every school disappears, but because many of the constraints that created modern schooling are disappearing.

Scarce information. Scarce tutoring. Scarce educational media. Language barriers. Geographical barriers. Expensive content creation. Expensive personalisation. Limited access to expertise. They are all weakening at the same time.

So what are we actually preparing a child for?

We cannot know exactly what jobs today’s children will have, which technologies will exist or which industries AI will disrupt next. We can no longer confidently promise a ten-year-old that learning a fixed list of things will guarantee security.

But we can prepare a different kind of person: someone who can read deeply, write clearly, reason mathematically, understand science, know history, use AI, challenge AI, build things, ask good questions, detect nonsense, learn independently, work with people, manage money, communicate ideas, care for their body, recover from failure, change direction, develop expertise and remain curious.

That is not a softer education. It is a more demanding one. It asks far more of children than memorising a syllabus, and far more of parents than outsourcing childhood to an institution and waiting for the report card.

The uncomfortable truth

Our children are standing at the beginning of perhaps the largest transformation in access to knowledge since the printing press. And many of them are still being educated under rules created when information travelled on paper.

Parents should be angry about that. But anger is only useful if it produces better questions.

What is school for when every child can have access to intelligence on demand?

If the answer is still to deliver information, make children reproduce it, sort them by examination performance and send them into the world with a certificate, then education has misunderstood what just happened.

The next ten years will not simply introduce new educational technology. They will force us to reconsider what children should learn, where they should learn, when they should learn, who should teach them, how we know they have learned, what teachers are for, what examinations are for, what schools are for and ultimately what education is for.

The institutions that understand this could become extraordinary places to grow up. The ones that do not may continue looking remarkably successful: beautiful campuses, immaculate uniforms, excellent examination results, smartboards glowing at the front of classrooms — while outside the gates, an entirely different century has already begun.