I am trying to imagine what could happen in schools in the age of AI so I began to work with ChatGPT to produce a series of blog posts. Please don’t take them too seriously.

The future school has finally arrived.

It knows every child before the child has had time to become one.

At 8:00 each morning, its systems scan attention, mood, sleep, motivation, social connection, emerging talent, future employability, and the probability of productive struggle. By 8:03, each student receives a personalized lesson, a wellbeing adjustment, an updated creativity score, and a gentle reminder to demonstrate agency.

No child is left behind.

No child is allowed to wander too far ahead.

For years, scholars, international organizations, governments, and educational reformers have offered hopeful visions for education in the age of AI. They call for evidence-based teaching and decision making, data-based teaching and learning, personalized learning, student voice, creativity, wellbeing, inclusion, global competence, future readiness, lifelong learning, social-emotional development, responsible AI use, and the flourishing of every learner.

These are attractive ideas. Often, they begin with an admirable dissatisfaction with schools that reduce children to test scores, teach identical content to everyone, and reward obedience to answers already known.

Then AI arrives.

AI promises to make every good idea finally possible. It can personalize instruction for millions of learners. It can detect disengagement before a child recognizes it. It can measure wellbeing, identify strengths, predict needs, generate feedback, recommend pathways, translate every language, assess every competency, and ensure that no student’s potential goes insufficiently documented.

What could possibly go wrong?

This series imagines the answer.

The schools described here are not old-fashioned dystopias with gray uniforms, shouting bureaucrats, or obvious cruelty. They are bright, caring, inclusive, data-informed, trauma-responsive, globally benchmarked, and endlessly encouraging. Their algorithms speak softly. Their dashboards use cheerful colors. Their official language is full of empowerment, growth, belonging, agency, and human flourishing.

That is why they are dangerous.

In these future schools, personalization will ensure that children are protected from becoming anyone their data did not predict. Creativity will be defined precisely, measured frequently, and rewarded only when it resembles approved originality. Student voice will be collected continuously, summarized by AI, and classified before it can become inconvenient. Wellbeing will be monitored so closely that sadness will require documentation. Problem solving will flourish, provided students select problems that can be solved without troubling anyone with power.

The point is not that personalization, creativity, wellbeing, inclusion, or student agency are bad ideas. The point is that an idea can become absurd when it is converted into a universal framework, operationalized as a set of indicators, automated through AI, and enforced with the confidence of a system that believes it has finally learned to care.

AI gives education extraordinary new powers. It can help us see learners more fully, support them more intelligently, and open opportunities that traditional schools have denied. But it can also make the oldest educational temptation more efficient: deciding in advance what every child should become.

The future of education should not be a school where every human quality can be measured, predicted, optimized, and approved.

It should be a place where young people can surprise the system.

Welcome to the AI School of Tomorrow.

Please place two fingers on the screen.

Your future has been prepared.