Half of All Papers Have AI Ghostwriting. So Why Do Mathematicians Refuse to Use It?

One study combed through 7 million academic journal articles published between 2020 and 2025: by 2025, more than half showed signs of AI ghostwriting. The interesting part isn't that half. It's the other half. The fields that lean on AI the hardest are computer science, management, architecture, and law. The ones that use it the least are mathematics, philosophy, classical literature, and history. At first you might guess these subjects just have more conservative, old-fashioned people. But line them up side by side and you'll find the common thread isn't attitude, it's the nature of the work itself. If you didn't work out a math problem, you didn't solve it. An answer appearing on paper, and your mind actually walking all the way to that point, are two different things. The same goes for a philosophy paper: writing it is the process of thinking a problem through. Let someone ghostwrite it and you get a conclusion, but you never went through the "thinking it through" part. People in classical literature are reading closely, translating, weighing the heft of a single word. For all these things, you can hand in the finished product, but the doing of it can't be carried by anyone else. In other words, for these fields, the process of doing is the product. Skip it and you've hollowed the whole thing out. The difference comes down to one line: do it, or don't. In late May, a comedian stood on the stage at Harvard's graduation. He'd studied law, then switched to stand-up, the kind of guy who calls himself "the idiot who didn't get into Harvard." He said making things is where the fun is, and when you skip that part, what you skip is exactly the meaning of the whole thing. He didn't mind at all letting AI handle science, but having AI write his own speech for him was something he couldn't get past. Recently someone got so absorbed in an AI tool they forgot to eat or sleep, saying it felt like the first time they touched the internet in grade school, thrilled just to add a guestbook to their own web page. That thrill came from the fact that there was something they'd made themselves. What does this have to do with you? It's that you're making the same trade-off every day, just on a smaller scale. A letter, a report, a stretch of thinking you need to get clear: which parts are worth handing to AI, and which, once you give them up, you'll never have truly experienced. The split can be simple: if what you want is the finished product (something you can turn in), handing it to AI is a good deal; if what you want is to actually understand the thing, that stretch of road is best walked yourself, because conclusions can be copied but understanding can't. Mathematicians and philosophers using AI sparingly may not be about being old-fashioned. That stretch of doing is their work. Give it away and the seat sits empty. Before you hand something to AI, sort it out first: is this effort I want to save, or is it actually the road I wanted to walk?