I’ve recently given a talk on R&D in the time of AI and based it on Naur’s essay for exactly that reason.

While it is in some sense harder, there are also opportunities, because the reach of a person is bigger and one can refactor more frequently to align with the theory being developed without the cost that used to be associated with this. AI is also effective for producing materials to teach the theory, increasing the chance that others can contribute coherently to a product.