"You better be doing something in AI" applies to Startups - businesses that are expected to spend every penny as quickly as possible, to meet the metrics needed to raise the next (bigger) round of funding.
It is also not the same as, "If you want to be a profitable company...". For that you need to somehow make more money than you are spending.
> For that you need to somehow make more money than you are spending.
I've had this idea of 'business as reducing entropy' floating around in my head for awhile. It's a neat way to think about the value a business offers to buyers; a washing machine manufacturer is selling reduced time to reduced entropy (clean cloths), spreadsheet software is selling reduced time to understanding (information from tabulated data), and so on.
From that perspective, a lot of AI-driven development is failing.
We're still in the phase of 'how do we get order out of semi-average chaos?' for LLMs. For ML we're largely past that point.
I've been using this framing as a means to guide me towards 'what is actually useful, what might someone actually buy'. I don't have my own business at this point, but its still fun to think about off and on.