Sure, the core principles are mostly the same, but the point is that it is getting easier and easier to extract value from these models, which means that the learning curve is getting flatter. The main difficulty for now and for the foreseeable future is to get the models to do what we mean, but DWIM is the trend line, it's the objective everyone's trying to get at. Even if we don't quite reach, we'll get closer. And AI that does what you mean is the ultimate tool: it doesn't require any expertise at all. There is no first mover advantage (save for a hypothetical singularity, perhaps).