The grades look fine. Better than fine, actually. Papers are well-structured. Grammar is perfect. Arguments are coherent. But ask the student to explain their own essay without notes, and the silence tells you everything.
The performance gap
AI has created a gap between what students appear to know and what they actually know. Traditional assessment measures output — and AI makes output look excellent. But learning isn't output. Learning is the struggle that happens before the output. AI eliminates that struggle entirely.
Skills that never develop
Writing a bad first draft teaches you to write. Getting stuck on a problem teaches you to think. Researching badly teaches you to research well. These skills develop through productive failure — the kind of failure that AI makes unnecessary. Students aren't losing skills. They're never building them.
The teacher's dilemma
Teachers can see the shift, but the tools to address it are limited. Banning AI is impractical and teaches avoidance rather than balance. Ignoring it means watching learning erode in real time. The honest answer is that education hasn't yet figured out how to coexist with AI — and the students are paying the price.
What matters
The question isn't whether students should use AI. It's whether they can do meaningful work without it. A student who can write well with AI and without it has a tool. A student who can only write with AI has a dependency. The difference matters for everything that comes after school.