When I think about companies I've encountered over the past few years, it seems to me like the AI problem has been two-fold: 1) They didn't need AI. 2) They wou

When I think about companies I've encountered over the past few years, it seems to me like the AI problem has been two-fold: 1) They didn't need AI. 2) They would have been better off listening to the human experts they already employed. That is to say - when you look at business case studies of the kinds of problems that businesses perceive they are going to solve, it's things like supply-chain "We figured out when it's going to snow, we should have snow shovels in stock!" Well, of course, and there are a whole lot of humans in your company that already know this, but they aren't being heard. A lot of the places where AI has worked out, like spell checkers, various in-app automations - as the article and people in this thread indicate, are exactly the kind of problems more companies should probably instead focus their energy. For example, I think about various gyrations I've watched people do in order to format their data the way they needed for presentations. Not AI in the theoretical sense, but definitely time consuming tasks that exist in every business that would save gobs of time and money if they could be automated away. But, so long as their isn't clear profit motive good luck getting your project green-lighted.