A student asks ChatGPT to write their essay. Another uses Claude to explain a concept their teacher could not make clear. A third uses an AI tutor that adapts to their learning pace in ways no classroom teacher can match with thirty students. A teacher discovers that half the submitted work was AI-assisted and has no reliable way to tell which half. This is not a scenario — it is Tuesday.
The education question is hard because it forces a reckoning with what education is actually for. If the goal is to produce polished essays, AI can do that. If the goal is to develop the capacity to think clearly, argue persuasively, synthesize information, and learn from the process of struggling with difficult material — then AI-generated work may be undermining the point entirely.
But it is not that simple. For students who struggle with writing, an AI assistant can scaffold their thinking and help them produce work they could not have managed alone — and the learning that happens through that collaboration may be genuine. For students learning a second language, AI translation and conversation tools can accelerate proficiency. For students with disabilities, AI can provide accommodations that would otherwise be unavailable.
The assessment problem is real and unsolved. Traditional assessments — essays, problem sets, take-home exams — assumed that the work was the student's. That assumption has collapsed. Some educators are moving toward oral examinations, in-class writing, and process-focused evaluation. Others are accepting AI as a tool (like a calculator) and redesigning curricula accordingly. There is no consensus, and the gap between institutional policy and classroom reality is wide.
The deeper question is about what skills matter in a world where AI can perform many cognitive tasks competently. Critical thinking, ethical reasoning, creativity, interpersonal communication, the ability to ask good questions, the capacity to evaluate AI-generated output — these may be more important than ever. But most educational systems are not designed to teach or assess them.
The book's argument that Everyone Has a Role in navigating technological change is directly relevant. Students, teachers, parents, administrators, and policymakers all have a stake in how AI reshapes education — and the decisions being made now will shape a generation. The book's insistence that these decisions should not be left to technologists alone is urgent here.
The Role of Art and Culture framework matters too. If art — including the art of writing — is how we process experience and make meaning, then outsourcing the creation of written work to AI is not just an efficiency question. It is a question about whether we are losing something essential about how humans develop and express understanding.
Could We? Should We? frames the broadest version of this question. AI in education is not inherently good or bad. The question is what kind of education system we want, what role AI should play in it, and whether those decisions are being made deliberately or by default. Right now, the answer is mostly by default.