Earlier quoted context omitted.
> but out of that waste may arise a small number of genuinely powerful use cases. Imagine you employ me as a hotel manager, and I come to you and say: "sure I spent all our food budget internationally in three months, and sure I have nothing really to show for it, but for those three months, we had a lot of food fights" Your manager then goes on to explain they not only need more money to cover the food budget, but a…
> we might have some innovation in the food delivery system of our hotel chain This is really relative to the size of that innovation, isn't it? > Imagine you employ me as a hotel manager, and I come to you and say: "sure I spent all our food budget internationally in three months, and sure I have nothing really to show for it, but for those three months, we had a lot of food fights" This is exactly how startups and…
It's not how it should work, because food fights are stupid and have no upside.
Even if everyone else is having them.
It's not a fair analogy because AI isn't completely stupid, and there are situations where it does provide a benefit.
But a rational business would ask if the upside is worth the cost, if the pipeline can be restructured to concentrate and amplify the benefits, if some elements are better being done the old way, if there are strategic threats if tokens become much more expensive, and so on.
Instead we're getting a wave of "Cut workers, cut costs, derp" and that's as far as the "thinking" goes.
The worst thing about AI is that it shows how shallow and stupid current C-suites are.
The US used to have real tech visionaries. Now it has tech cargo cultists, all chasing an IPO cash out and hoping the music doesn't stop before they get their bag.