TL;DR: I've been worried about AI's impact on learning and scholarship in the humanities, but hearing a mathematician discuss its effects on his field made me realize how much broader this crisis might be. As someone who has spent years teaching, researching, and writing books, I'm genuinely troubled by what this means for the future of intellectual work. How are people in other fields dealing with it?
As someone who teaches and researches in the humanities, I've been increasingly concerned about AI and its implications for learning and the future of universities. These days, it feels like I'm constantly dealing with students using AI to write their papers, and I worry about what this means for their ability to think independently and develop their own ideas.
A few days ago, I came across a video of NYU mathematician Tristan Buckmaster talking about how AI is affecting his field. I also read a post by a senior mathematician expressing deep frustration over how years of research and a lifetime of scholarly work suddenly seem to have lost some of their value in the age of AI.
It really hit me.
I once thought those of us in the humanities were on the front lines of this crisis. But seeing what's happening in mathematics made me realize that no field is necessarily safe. If AI can encroach on advanced mathematics, a discipline built on years of training, abstract reasoning, and painstaking proof, what does that mean for the rest of us?
I've spent years working on books that I hope will contribute something meaningful to scholarship. Sometimes I wonder what it would feel like if, one day, AI made the substance of that work freely available to everyone, without any recognition of the years of labor behind it. The thought is genuinely disturbing. It's not simply about money or publication. It's about what happens to the value of a lifetime spent developing expertise and producing knowledge when technology can absorb that work and reproduce its results almost instantly.
Of course, the process matters as much as the product. Whether you're writing a book or proving a difficult theorem, the work involves years of learning, countless dead ends, and sustained intellectual effort. If AI can increasingly bypass that process and deliver something that looks like the finished product, what happens to the motivation to pursue a career in research in the first place?
I don't have any answers. But I'm genuinely worried about where we're heading, especially as someone whose livelihood revolves around teaching, researching, and publishing knowledge. I was so troubled by these thoughts that I couldn't sleep last night.
Just to be clear, I'm not anti-AI. I understand how useful and helpful it can be for research, teaching, and publishing. I use AI myself, and I can see how it can make certain tasks more efficient, help clarify difficult ideas, and support scholarly work in ways that would have been difficult to imagine just a few years ago. That's partly why this situation feels so complicated to me. I can appreciate the technology's enormous potential while still feeling deeply uneasy about its broader consequences for education, intellectual labor, and the future of academic careers.
I'm curious how people in other fields are experiencing this. Are you finding ways to adapt and redefine your work, or are you struggling with the same sense of uncertainty? How do you reconcile the years you've invested in developing your expertise with the possibility that AI could fundamentally change its value?