My SIL is a software engineer, and he was discussing it with me. He said his productivity has improved dramatically since adopting this approach (I was "retired" two years ago from the same company). What I previously had done was more ad hoc depending upon the specific circumstances was becoming standardized. I really couldn't keep up in hindsight. My current job is a jack of all trades that I don't see being standardized and brought under AI anytime soon (or hopefully not in the next five years).

I do like telling AI to write a specific set of Excel commands and it does it quickly for me.

AI tends to reinvent the wheel every time you ask it something, and currently, there are no solid libraries of thoroughly tested code that you can call. I recall some math packages that are incredibly well tested.

So, a customer calls, desperately asking for a fix, and you have zero clue as to what the code is, except by reverse engineering.

And software is one of the few areas with useful results so far.

Useful, to a point.

'wonder drug' or the likes of, has turned out to be a white elephant, especially when so many aren't really sure what to apply AI-wise, if even possible.

The cost of stealing all that human labor and creativity for "training"
The cost of using up rivers of cooling water. This winds up on municipal water bills.
The cost of burning gigaWatts of power. This winds up in utility customers' electricity bills.

The are other more subtle costs, like degrading human minds. Or surveillance in fief to profit and political power.

When you disperse and diffuse costs, it's hard or impossible to invoice them.