More generally, I do think OKRs / measure-what-matters has cooked peoples' brains to the point that folks can claim things — with a straight face, even! — like that AI adoption proves that ordinary users demand AI.
Three critiques of OKRs / MWM:
1. The ease with which something is measured is not the same as the importance of measuring it.
2. Placing incentives on measurements ruins the empirical value of that measurement.
3. You will never have perfect data, and must reason in uncertainty.
Numbers are a kind of magic trick for our brains, they make things feel way more concrete and certain than they necessarily are. That doesn't make numbers or empiricism more generally useless, it means it's hard work to do empiricism *correctly*, and that bad empiricism can be as bad as not doing any empirical reasoning at all.
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