Speed of automation is in inverse proportion to the entropy of the subject domain. Math and coding are structured and orderly, which is why AI is able to do them so well. In order of difficulty: The hard sciences are next. They may be governed by strict physical laws, but are complicated by dependence on noisy measurements and laboratory experimentation. Financial markets are more difficult still. They are complex adaptive systems subject to human psychology. While (past) data is abundant, the underlying statistics are non-stationary and highly variable. Clinical diagnostics and decision-making in medicine are far more difficult than most people realize. It's very high-stakes, it requires synthesizing very fragmented signals, and dealing with idiosyncratic human behavior and biology - it's a nightmare of incomplete information. The law, jurisprudence, and legal interpretation operate on structured text and precedent (most of the time), but rely heavily on ambiguous language, evolving societal norms, persuasive rhetoric, and human judgement. They won't be automatic anytime soon. Culture, art, and strategic leadership are an odd mix, but I think all of them are quite safe from automation. They are the pinnacle of disorder and human creativity. They rely on tacit knowledge, intuitive perceptions of the world, emotional intelligence, understanding of cultural consensus, and navigating complex moral trade-offs. So rejoice - we'll have artists, lawyers, doctors, and CEOs for a long time yet!