Your People Won't Adopt AI. That's a You Problem.

Hi all,

I have a conversation that plays out on a near-weekly basis.

A CEO pulls me aside after a keynote. Leans in. Lowers their voice like they're confessing something. "Mike, my people just aren't leaning into AI. I don't know what to do."

Then I ask the question that makes them squirm: "What does your own AI practice look like?"

Silence. A sheepish smile. "Well, I've been meaning to dig in more..."

There it is. The CEO demanding AI adoption from their people while their own Claude or ChatGPT account has cobwebs on it. The message that sends — whether intended or not — is that this stuff isn't really that important.

Ethan Mollick has posted about this on LinkedIn:

Culture flows downhill. And new research from Microsoft confirms what I've been saying for years: when it comes to AI adoption, the fish rots from the head.

The Toolset Trap

Most companies approach AI adoption the same way. They buy the licenses. They stand up the infrastructure. They send the all-hands email about the company's "AI-first future."

Then they wonder why nothing changes.

What they've done is build their people an expensive, state-of-the-art gym — gleaming equipment, the latest machines, premium membership cards. What they haven't done is give anyone a reason to show up or a clue what to do when they get there.

That elliptical is going to be a clothes hanger by February.

Toolset without mindset and skillset isn't an AI strategy. It's a line item that will quietly disappear from next year's budget after the ROI conversation gets awkward.

The Frontier 16%

Microsoft's 2026 Work Trend Index identifies what they call "Frontier Professionals" — the roughly 16% of workers who are genuinely leading the way on AI adoption and driving most of the measurable value. These are the people you want on your team.

The question is: what separates them from everyone else?

It's not their technical background. It's not their age. It's not even their access to tools — everyone has access to tools at this point.

It's their manager.

Adoption is a Leadership Problem

Here's the number that stopped me in my tracks: organizational factors — culture, manager support, talent practices — account for 67% of the impact on AI adoption. Individual mindset and behavior? Just 32%.

Two-thirds of the battle is organizational. Meaning: if your team isn't adopting AI, the single biggest lever is you.

And it gets more specific than that. Managers who openly use AI themselves have teams where 85% reach frontier-level adoption. Managers who encourage experimentation, create space for it, and set quality standards show 20+ point advantages over everyone else.

If you want frontier professionals on your team, you have to become one yourself.

I'm putting the finishing touches on a longer-term program specifically designed to address this — a structured, year-long engagement that builds AI fluency at the leadership level and cascades it through the organization. If you're curious about what that looks like for your team, hit reply and let's talk.

Best,

Dr. Michael "House" Housman

P.S. As always, feel free to hit reply with thoughts or just to say “hi” — I read every one.