Hi Reader!

Have you noticed it yet?

The same patterns showing up in LinkedIn posts. In emails. In YouTube descriptions. Not in the content itself. Not in the ideas. But in the structure.

(Yes, just like this one.)

And here's the most interesting part: not all of that content was written by AI. Some of it was written or edited by humans.

And it's not just content. Research tells us that AI is impacting our language.

Research from Northeastern University on AI's social forcefield found something I didn't expect. AI doesn't just influence individual thinking — it reshapes how teams think together. When teams regularly work with AI, they start adopting AI language, AI framing, AI ways of structuring problems. And it goes unnoticed. The influence stays even when AI is no longer in the room. The researchers called it a "linguistic fingerprint" — a mark AI leaves on how a team talks and thinks, long after the tool is closed.

Here's how it shows up in practice. A team uses AI to help with a project. They work on a strategy, or build a framework, or try to find the right name for a process. And when they have it — they use it. Weeks later, in meetings where AI isn't involved at all, the team is still using the same structure, the same framing, the same terms.

And this happens whether the AI's suggestions were useful or not. Why? Because it's hard for people to catch that moment when the brain disengages and hands thinking and decision-making over to AI.

Why This Matters

Ok, AI influenced the way we speak. So what? If it helps teams communicate more efficiently, to create a shared language — isn't that a good thing?

Sometimes, yes. A shared vocabulary can speed things up. It can reduce friction. But as you might have guessed, there's a catch.

When AI becomes the default starting point for how your team frames problems, your team loses diversity of thinking. Unexpected angles. The friction that leads to innovation or truth.

That's why any team actively working with AI needs to redesign the way they work together — and build team principles and norms that help them stay engaged and notice when AI patterns start influencing their thinking.

What This Means for Your Team

If you're leading a team that's integrating AI into how they work, you don't always know if the brain is on or off. And for that, teams I work with implement deliberate practices of constructive dialog, respectful challenging of ideas, and human ownership of decisions.

Here's what helps:

Think first. Before your team asks AI for a framework or a summary or a strategy, make sure they've named the problem in their own words first.

Check the framing. When AI gives you a structure, don't just adopt it. Ask: does this fit the problem we're trying to solve? How helpful is it?

Protect the friction. Teams need disagreement. They need the moments where someone says, "Wait, that doesn't feel right," and everyone stops to figure out why.

I'll be talking about this more . at the Fusion HR Week conference on May 21 and at WebExpo in Prague on May 27.

And if you want to hear me talk through these ideas now, I recently joined Luci Gabel on the Leadership, Life, Health & Happiness podcast — we went deep on how AI is changing the way teams think and collaborate.

See you next Thursday.

Daria

P.S. We just released two new episodes of Built by People Leaders: one with Katherine Dudtschak on why burnout isn't caused by workload, and another with Ochuko Dasimaka on leading through change at Rio Tinto. Both sharp, practical, and grounded in real experience. And if you're already a listener — thank you.