A Businessman's View

I’ve been thinking a lot about AI strategy lately.  Not the tools nor the models - the strategy itself. Specifically, I wondered why so many companies seem to be making progress on paper but are not getting the kind of results they expected.  From the outside, it all looks pretty good. Pilots are running. Outputs are being generated. There’s a lot of activity.  But something about it doesn’t quite add up. And the more I think about it, the more I’ve come to believe that a lot of these efforts are running into trouble much earlier than people realize, often before anything that really looks like AI is even in place. The Myth: “Every Company Needs an AI Strategy” I was reminded of this recently when I came across a post on LinkedIn from a venture capitalist that said, plainly: Looks like progress. Still needs the right formula. Every private equity-backed company needs an AI strategy. It wasn’t a surprising take. In fact, I’ve seen variations of this sentiment repeatedly ...