You touch on an aspect of AI-driven development that I don't think enough people realize: choosing to use AI isn't all or nothing.

The hard problems should be solved with our own brains, and it behooves us to take that route so we can not only benefit from the learnings, but assemble something novel so the business can differentiate itself better in the market.

For all the other tedium, AI seems perfectly acceptable to use.

Where the sticking point comes in is when CEOs, product teams, or engineering leadership put too much pressure on using AI for "everything", in that all solutions to a problem should be AI-first, even if it isn't appropriate—because velocity is too often prioritized over innovation.