Education is one of those fields where AI has genuine potential to do enormous good — and where the risks of getting it wrong are equally significant. Both things are true, and it's worth looking at both honestly rather than picking a side.
The real promise: personalization that wasn't previously possible
Traditional classrooms are designed around averages. The curriculum moves at a pace that's approximately right for most students — which means it's often too slow for some and too fast for others. Teachers are doing their best, but with 30 students and limited time, true individual personalization isn't realistic.
AI changes this equation. Adaptive learning platforms can adjust the difficulty, pacing, and style of instruction in real time based on each student's responses. If you're struggling with a concept, the system provides more examples and alternative explanations. If you've mastered it, you move ahead — you don't sit there waiting for the class to catch up.
This kind of personalization used to require one-on-one tutoring, which is expensive and unavailable to most students. AI makes it potentially available to everyone, which is a big deal especially for students in under-resourced schools.
AI tutors are getting genuinely useful
Khan Academy's Khanmigo, built on GPT-4, is an interesting example. Rather than just answering student questions directly, it uses a Socratic approach — asking guiding questions, offering hints, helping students think through problems themselves. That's the right pedagogical instinct, and it works better than I expected when I tried it.
For students who are embarrassed to ask "basic" questions in front of classmates, or who study outside school hours when no teacher is available, an AI tutor that's infinitely patient and available 24/7 is genuinely valuable.
The academic integrity problem is real
I won't pretend this isn't a serious issue. Students can and do use ChatGPT to write essays, complete assignments, and generate work they then submit as their own. This isn't hypothetical — it's happening at scale, right now, in schools and universities around the world.
The institutional responses have been inconsistent. Some schools are trying AI detection tools — which work sometimes and give false positives other times. Some are redesigning assessments to be harder to game — more oral examinations, in-class work, process-based evaluation. Some are deciding to accept that AI is a tool students will use and teaching them to use it honestly.
None of these responses is clearly right. The underlying question — what is education actually for, in a world where AI can perform many of the tasks we traditionally measured? — is genuinely hard.
"The exam that made sense before AI might not make sense now. The challenge isn't stopping students from using AI — it's figuring out what skills we're actually trying to develop."
What AI genuinely can't replace
A good teacher does something that no AI can currently do: build a real relationship with a student. Notice that a kid who's usually engaged has been withdrawn for a week. Understand that a student's difficulty with math might be related to anxiety at home, not to inability. Inspire genuine curiosity and love of learning through their own passion and example.
These human dimensions of education aren't peripheral — for many students, they're what education is. The AI can handle information delivery. The human needs to handle everything else.
The honest take: AI in education is neither the revolution that will fix everything nor the threat that will destroy learning. It's a powerful tool that will change what teachers spend their time on, raise hard questions about assessment, and make some aspects of learning more accessible. How well it goes depends almost entirely on how thoughtfully it gets implemented.