IMO, a large amount of work, including a large amount of technical work is wasted effort. At startups you see it when they go out of business, at a big companies you see it as bloat. So unless AI is directed at finding the right problems to solve, past some point engineering efficiency via AI at best saves some money and at worst means more ultimately low, zero or negative value work gets done.

Maybe this is why you’re seeing more effort shifted away from technical work. Maybe I’m a nihilist. Maybe both?

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proc0 an hour ago | parent [-]

That was true when implementation was expensive. Now that implementation is cheap, doing it in bulk is the best way to maximize AI usage, and that means fewer engineers doing more of the technical work.

> unless AI is directed at finding the right problems to solve

This direction can be done by non-engineers with AI to consult (replacing that part of human engineer's role).

	▲	questionableans an hour ago \| parent [-]
		My guess is in the end we’ll find the approach that works depends more on the personalities of the people involved as opposed to one approach being strictly better.