My internal mnemonic for targeting AI correctly is 'It's easier to change a problem into something AI is good at, than it is to change AI into something that fits every problem.'
But unfortunately the nuances in the former require understanding strengths and weaknesses of current AI systems, which is a conversation the industry doesn't want to have while it's still riding the froth of a hype cycle.
Aka 'any current weaknesses in AI systems are just temporary growing pains before an AGI future'
I had a VP of a revenue cycle team tell me that his expectation was that they could fling their spreadsheets and Word docs on how to do calculations at an AI powered vendor, and AI would be able to (and I direct quote) "just figure it all out."
That's when I realized how far down the rabbit hole marketing to non-technical folks on this was.
But unfortunately the nuances in the former require understanding strengths and weaknesses of current AI systems, which is a conversation the industry doesn't want to have while it's still riding the froth of a hype cycle.
Aka 'any current weaknesses in AI systems are just temporary growing pains before an AGI future'