[joe_the_user]

But you don't gain ML/AI know-how by doing SQL, nor you discover previously unknown potential about your product buy sticking to your usual toolset.

If current ML/AI is the future and reveals more than anything else could, then it's logical for everyone to be piling onto it whether it's an applicable at the moment or not.

If current ML/AI is just another tool, then it's reasonable to use if and only it's applicable. Sure, not doing ML means you don't get ML insights but doing SQL means you get SQL insights. Back in the day, I recall clever queries could reveal interesting things, find outliner data and so-forth. Certainly, you don't get the powerful ad-hoc statistics power that ML give. But I suspect that power requires extremely large datasets.

[autokad]

I think its going to be like websites/internet back in the early 2000s. Everyone knew it was the future, but didn't know what to make of it. Many did it wrong and the profits (if there were any) didn't live up to expectations. then bubble burst. lots gave up, but the survivors, and the ones that learned how to do it right ended up with near unassailable moats. now a large portion of businesses today have an internet/app presence, and its seen as indispensable to their business.