"Just replace management and execs with AI" is an elaborate wagie cope. "Management and execs" are quite resistant to today's AI automation - and mostly for technical reasons.
The main reason being: even SOTA AIs of today are subhuman at highly agentic tasks and long-horizon tasks - which are exactly the kind of tasks the management has to handle. See: "AI plays Pokemon", AccountingBench, Vending-Bench and its "real life" test runs, etc.
The performance at long-horizon tasks keeps going up, mind - "you're just training them wrong" is in full force. But that doesn't change that the systems available today aren't there yet. They don't have the executive function to be execs.
Some management would be cut off when the time comes, Execs on the other hand are not there for work and are in due to personal relationships, so impossible to fire. If you think someone like lets say Satya Nadella can't be replaced by a bot which takes different input streams and then makes decisions, then you are joking. Even his recent end of 2025 letter was mostly written by AI.
> even SOTA AIs of today are subhuman at highly agentic tasks and long-horizon tasks
This sounds like a lot of the work engineers do as well, we're not perfect at it (though execs aren't either), but the work you produce is expected to survive long term, thats why we spend time accounting for edge cases and so on.
Case in point; the popularity of docker/containerization. "It works on my machine" is generally fine in the short term, you can replicate the conditions of the local machine relatively easily, but doing that again and again becomes a problem, so we prepare for that (a long-horizon task) by using containers.