What I Mean When I Say People Are the Variable

I have spent my working life in three rooms that are not supposed to have much to do with each other. The boardroom, where transformation is decided. The lecture hall, where it's taught. The dissertation, where it's studied. Most people would call those three different careers. I've come to think they're one, and the thing that unifies them is a single claim I'll spend this essay defending: in any serious transformation, the technology is almost never the consequential variable. The people are.

That sounds like a soft observation, the kind of thing everyone nods at and no one acts on. I mean it as a hard one. It changes what you build, what you study, and what you choose to own.

The claim, stated plainly

When an organization tries to change, the failure is rarely technical. The system works in the demo. The platform ships. The capability exists. And then, months later, the change hasn't happened, and everyone is surprised. The surprise is the tell. It means the organization was watching the technology when it should have been watching the people, the incentives, and the distance between how leaders imagined the change would land and how it actually landed.

I don't believe in technology in search of a problem. A tool, including AI, has to earn its place against a clearly defined human or business need. This isn't modesty about technology; I work in digital products, I've shipped enterprise AI, I take the capability seriously. It's a claim about where the leverage is. The leverage is almost always in the human layer, because that's the layer that decides whether the capability becomes a change or just a feature nobody uses.

Why the three rooms are one

Once you believe that, the three rooms stop being separate.

The operator in me leads product work inside a large, operationally complex enterprise, and the hardest problems there are never really about the software. They're about adoption, trust, incentives, and the gap between a roadmap and a behavior. The researcher in me studies exactly that gap, formally, because the question that matters most in practice deserves more than intuition. And the builder in me, the one returning to entrepreneurship after years of it earlier in my career, is drawn to ownership for the same reason: because building something durable is the longest, most honest test of whether you actually understand how value gets made, and value gets made by people.

So they're not three jobs. They're three vantage points on one question: what makes an organization durable, and how do people do their best work inside one? The operator lives the question, the researcher studies it, the builder bets on the answer. Each keeps the others honest. The research would be abstract without the operating; the operating would be unexamined without the research; both would be theoretical without something of my own at stake.

What the claim asks of you

If people are the variable, a few things follow that are easy to say and hard to live.

You start with the need, not the tool, every time. You treat adoption as the real work rather than the afterthought. You stay long enough to see whether a change held, because the human layer reveals itself slowly and the early signs lie. And you get suspicious of your own certainty about how change will land, because the gap between the plan and the experience is where most transformation quietly dies.

That is the lens I bring to all of it. Not technology in search of a problem, but a clearly defined need, a solution made to earn its place, and a long enough horizon to find out whether what you built actually changed anything. The technology is the easy part. It was always the easy part. The people are the work, and the people are where it lasts.