Equal access is not the same thing as engineered interest.
The strange thing about the debate around AI in school is not the demand that children should learn about AI. That part is obvious. AI is becoming part of ordinary literacy. Students should understand what these systems can do, where they fail, how to verify output, how to protect information, and how AI changes work.
The strange thing is the leap from AI literacy belongs in school to girls are being excluded from AI.
That is not analysis -- it is activist compression.
No one has banned girls from AI. No rule says boys may use it and girls may not. The argument is instead indirect: if school does not provide structured AI education, existing social patterns will decide who gets exposed first. Boys, supposedly, will drift toward technology anyway. Girls, supposedly, will not. Therefore the state must intervene.
There is a real point buried inside that argument. Access matters. If AI competence is left entirely to home background, parental knowledge, peer culture, and private initiative, the distribution will be uneven. Some children will get an early advantage. Others will not. School has a legitimate role in creating a baseline.
The gender framing, however, smuggles in the very stereotype it claims to fight.
It treats boys as natural technical agents and girls as natural technical outsiders. It replaces one prejudice with another, then calls the result inclusion.
A better argument would not need that move. It would simply say that AI literacy is now part of modern education. All students should get enough understanding to use AI responsibly, critically, and productively. That is a universal competence argument. It does not require pretending that every uneven interest pattern is oppression.
School can teach literacy. It can reduce fear. It can make technology visible, practical, and less mystified. It can show that AI is not magic and not forbidden territory. That is valuable.
School, however, cannot manufacture deep technical appetite by decree. People do not become good at technology because a curriculum committee inserted the right words into a document. They become good through tinkering, curiosity, identity, peer culture, status, usefulness, and years of self-directed engagement.
That is why the equality-of-outcome instinct fails here. A free society will produce uneven choices. Some people will choose code. Some will choose care. Some will choose law, music, machinery, finance, design, logistics, medicine, horses, welding, or none of the above. That unevenness is not automatically a policy failure. Often, it is simply freedom showing up in the data.
The right goal is not equal interest. The right goal is equal seriousness.
Make technology attractive, useful, creative, rigorous, and accessible. Give every student the baseline competence. Remove artificial barriers. Stop making technical culture unnecessarily narrow or socially ugly. Then let people choose.
AI belongs in school because literacy belongs in school. It does not belong there as a social-engineering instrument for forcing occupational symmetry.