AI adoption has moved past innovators into early adopters. Pushing AI in organizations full of laggards wastes effort. Start with small, low-cost projects that need minimal process change to prove value and build momentum.
I do think at the end of the day there's an adoption curve for all of these things. So much as I'm saying everyone should adopt it, some people are going to be early, some people are going to be late. I don't know how familiar you are with that adoption curve, but there's— starts with innovators, then early adopters, and then mainstream or something like this, then the laggards, and then something else. I think we're past the innovators. I think we're into the early adopters. If you're at a company where you're full of laggards, you might be wasting your time trying to get people to change. And the approach that we take, and therefore what I would, I guess, recommend other people to consider, is how can you make it as small an investment, both from either a money perspective, like a cash perspective, or from an effort perspective, or, you know, from a process change perspective, how can you make it as small an investment as possible to create some magic?
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