A(G)I and you: how much of your own work can you automate?

I have been testing this pretty heavily over the past year. My answer is that a lot more can be automated than I originally thought, but only once the work is moved out of single chat sessions and into a proper operating workflow. For me, the big shift was not simply asking a model to do a task. It was building a system around the model that handles state, project history, files, managed runs, review points, exports, and repeatable execution. At that point, the human role changes. I am still responsible for taste, judgment, direction, review, correction, and deciding what is good enough. But the amount of raw production work the system can carry is much larger than I expected. The remaining work shows up mostly in supervision, architecture, verification, and deciding what should happen next. So I do not think the useful question is only “how much can AI automate?” I think the better question is “what kind of operating environment does the model need before automation becomes reliable?” That is where I think the real field is forming.