Generative AI / Naturally Dumb

The most powerful technology in a generation still can’t outperform the people behind it.

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The Revolution Is Here. The Thinking Hasn’t Changed.

I’ll say it plainly: Generative AI is the most revolutionary technology development I’ve ever seen in my career. Nothing else comes close. The speed of adoption, the breadth of application, the sheer magnitude of what these models can do — it’s staggering.

And yet, I watch our industry make the same mistake it has made with every major technological leap before this one.

We obsess over the technology. We marvel at the tool. And we forget that a tool is only as good as the hands that wield it.

Generative AI is naturally dumb. Not because the technology is flawed — it isn’t. Not because the models lack power — they don’t. Gen AI is naturally dumb because it is only as intelligent as the people, processes, and inputs that shape it. Strip away the hype, and you’re left with a principle as old as computing itself:

Garbage in, garbage out.

No amount of model sophistication changes this. No vendor pitch overrides it. No boardroom excitement escapes it. The quality of any system’s output cannot supersede the quality of the resources that built it.

And that reality should change every conversation happening right now in technology leadership.

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The Dangerous Narrative

A concerning narrative has taken hold across our industry. It goes something like this: Generative AI is here, so we need fewer people.

I understand where this comes from. The pressure on technology leaders to cut costs, demonstrate efficiency, and justify AI investments is real. Boards want ROI. Stakeholders want speed. And the easiest equation to sell is a simple one: more AI, fewer headcounts, lower costs.

I’ve watched this narrative drive decisions in organizations across the industry. And I 100% disagree with its conclusion.

This is not the time to think about replacing people. This is the time to invest in them like never before.

Here’s why.

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The Triad: Tech, Process, and People

Every system you build, every product you ship, every transformation you lead — all of it rests on three pillars: Technology, Process, and People.

Generative AI has dramatically elevated the Technology pillar. That’s undeniable. The tools we have today — code assistants, intelligent automation, natural language interfaces, generative design — represent a quantum leap in what technology can do. The Tech pillar has never been stronger.

But technology doesn’t operate in a vacuum.

Process matters. The workflows, methodologies, and operational frameworks that govern how your teams build and deliver — these determine whether powerful technology gets harnessed effectively or squandered chaotically. You can hand a team the most advanced AI toolkit on the market, and without sound processes to integrate it, you’ll get inconsistent results at best and costly failures at worst.

And yet, here’s what most leaders miss: people design your processes. People understand your business context. People know why a workflow exists, where it breaks down, and how it should evolve. You can optimize process frameworks endlessly, but the quality of those processes will always reflect the quality of the people who created them.

This creates a clear hierarchy:

Technology accelerates what’s possible. Process organizes how you execute. People determine the ceiling of everything.

You can always acquire better technology. You can always redesign a process. But without the right people — trained, trusted, and empowered — your technology investments will plateau, and your processes will stagnate.

People are your ceiling. Everything else works in service of what they can do.

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Train. Trust. Experiment.

If you’re a technology leader reading this, here’s my challenge to you:

Train your people. Not a one-day workshop. Not a lunch-and-learn. Real, sustained investment in helping your teams understand what Generative AI can and cannot do. Teach them to work with these tools — to interrogate outputs, to engineer inputs, to think critically about what the machine produces. Your people know your business better than any model ever will. Give them the skills to combine that knowledge with the most powerful technology we’ve ever had.

Trust your people. They’ve built your systems. They’ve navigated your technical debt. They’ve kept your products running through every crisis, migration, and pivot. They understand the nuances, the edge cases, the institutional context that no AI model can absorb from a training dataset. When the narrative says “replace them,” push back. Their expertise is not a cost to be cut — it’s the foundation everything else is built on.

Let them experiment. This is the part most organizations get wrong. Experimentation requires time, psychological safety, and tolerance for failure. Give your teams room to play with these tools without the pressure of immediate ROI. Let them try things that might not work. Let them discover use cases you haven’t imagined. The most transformative applications of Gen AI in your organization won’t come from a vendor’s roadmap — they’ll come from your people, if you give them the space to explore.

There has never been a better time to empower the people who build your technology. The tools are here. The capabilities are extraordinary. But the ceiling — your ceiling — is and always will be your people.

Invest accordingly.

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This is the first in a series of posts exploring how technology leaders can navigate the Gen AI era with clarity, intention, and a focus on what actually drives results. Next up: the practical “how” — building AI-ready teams without burning them out.

Stay tuned.

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This post was written with the assistance of generative AI and refined through my own review and edits.