If ML application require uncertainty attached to point estimate, we would see plenty more uncertainty intervals attached to point estimates, but in industry, outside of niches (e.g., banking, bio, actuary to name a few), very few bother dealing with them.
I am currently part of a large team (we are talking hundreds) of ML specialists, and I have yet to see a single presentation in which a point estimate was associate with some uncertainty interval. And in my previous company it was the same and when I interview candidates (dozens? hundreds?) I never get a satisfactory answer to the confidence interval vs predictive interval question I ask about.
Given that historically regulators figured out that when playing with other people's assets you need to assess your confidence, the volatility of the outcomes in non banking industries that lack such oversight can be greatly attributed to people DunningKrugering after a couple of Andrew NG's courses.
That is my claim and based on my experience working in projects accross many industries accross many countries.