Every leader I talk to carries the same low-grade guilt about AI. It moves too fast, there’s a new model or headline every week, and somewhere between running the business and everything else, they’re convinced they’re falling behind. So they try to keep up. And the trying is the mistake.
I’ve spent about 25 years in technology, starting in R&D at MITRE and Lockheed, back when the tools that now get called AI were just narrow software doing one hard job. In that time I’ve watched a lot of “this changes everything” waves arrive. The pattern never changes, which is why the current panic doesn’t rattle me the way it rattles the people living inside it.
The clearest example is the one that shaped how I think about all of them. I was in college and already working in IT when the internet was going to remake the world overnight, close enough to watch it happen in real time. Every company bolted a dot-com onto its name and a valuation to match. The promises were enormous. The problem was that almost none of them were making any money. The technology was real, and it did eventually remake the world. But most of the companies riding the hype had no business underneath the story, and in 2000 the whole thing collapsed. The internet survived. Pets.com did not.
Here’s what actually separated the two, and it’s the same thing that matters now. It was never who kept up with every development. It was who could tell the difference between real value and promised value. Between a technology that solved a problem someone would pay for today, and a technology that was mostly a story pointed at a valuation.
That’s the whole skill, and it’s the answer to the question every swamped leader is really asking. Not “how do I keep up,” but “how do I avoid getting fooled again.”
You avoid it the same way the survivors of 2000 did. You stop consuming AI news by volume and start filtering it by relevance to a decision you actually have. Most of what crosses your feed is noise engineered for engagement, not for your business. A new model with a bigger context window is a headline, not a decision. A trillion-dollar projection about AI agents hiring each other is a story, not a plan. You can safely ignore almost all of it.
What you cannot ignore is the rare development that touches a real problem you own. When a tool can suddenly read your messy PDFs and pull clean data out of them, or reliably handle a workflow that has been eating your team’s time for years, that is not hype. That is a decision. The test was never whether something is new or impressive. It is whether it changes what your organization should do on Monday.
So the discipline is simple, and it is the opposite of the treadmill everyone thinks they are supposed to run. Before you let any piece of AI news into your head, ask three things. Does this solve a problem I actually have? Is there real value here today, or only a promise of value later? And would I care about this at all if it were not labeled “AI”? If the answers are no, no, and no, you are looking at a dot-com in an AI costume. Let it go.
You don’t need to keep up with all of it. You need to recognize the small part that matters and ignore the rest without guilt. That is not falling behind. That is the judgment that kept the last set of survivors standing.
