You're Not an Imposter.
You're Just Early.

Imposter syndrome has always been part of professional life. The feeling that you're not qualified enough, not experienced enough, that at some point someone will figure out you've been winging it all along.

But something interesting is happening right now — and I think it reframes the whole thing.

Think about that for a second. These aren't junior employees second-guessing themselves. These are CEOs. People who have spent decades building expertise, leading organizations, making high-stakes decisions. And AI is making them feel like they don't know what they're doing.

Which raises the obvious question: if the most experienced people in the room feel like imposters — who exactly is the expert?

The skills that matter most didn't exist six months ago

Six months ago, nobody knew how to build an AI agent. Nobody had experience with MCP servers, n8n workflows, or prompting LLMs for business analysis. These weren't niche skills that some people had and others didn't — they simply didn't exist as practical, accessible tools for most professionals.

And yet today, people are using them every day. Building things with them. Saving clients money with them. Changing how entire teams operate.

Nobody has 10 years of experience in something that's 6 months old. The person running the AI workshop learned it last month. The consultant charging for AI strategy figured it out on a client project three weeks ago. That's not fraud — that's just how fast this is moving.

What imposter syndrome actually is

Imposter syndrome is the gap between where you are and where you think you should be. It's not really about competence — it's about comparison. You compare yourself to an imagined expert, someone who has everything figured out, who never googles anything, who always knows the answer.

That imagined expert doesn't exist right now. Not in AI. Not in the tools reshaping how we work.

The most experienced data engineers I know are learning new things every week. The most seasoned consultants are building skills in real time, on client projects, with real stakes. That's not imposter syndrome — that's what being early to something looks like.

The reframe: learning on the job is the job

There's a version of professional culture that says you should only claim expertise in things you've mastered. That if you're still figuring something out, you shouldn't be charging for it, teaching it, or leading with it.

That model made sense when skills had long shelf lives. When being a Tableau expert meant something you built over years, and that expertise held its value for years after.

That's not the world we're in anymore.

In a world where the tools change every few months, learning on the job isn't a sign that you're faking it. It's the only way to stay relevant. The people who are waiting until they feel "ready" — until they've mastered the new stack, until they're certain — are going to be waiting a long time. And they'll be waiting while the people who jumped in are building real things for real clients and learning faster than any course or certification could teach them.

What to do with this

If you're feeling like an imposter right now, especially around AI, I want to offer a reframe: you're not behind. You're early. And being early, even if it's uncomfortable, is one of the most valuable places you can be.

The data people, the operators, the consultants who lean into this moment — who build things before they feel ready, who share what they're learning while they're still learning it — those are the ones who will be leading their organizations through whatever comes next.

You don't need to have it all figured out. You just need to be a few steps ahead of the person you're helping.

That's always been true. It's just more obvious now.