AI adoption doesn't stick at the org level. It sticks at the team level.

That's not a knock on company-wide training or leadership initiatives. Those matter. But the real behavior change happens when someone on your team shares what actually worked for them last Tuesday. When a peer says "I tried this and it saved me two hours" or "I tried this and it totally flopped, here's why."

That's the conversation that moves people.

Org-wide rollouts can build awareness. They can establish a baseline. What they can't do is replicate the trust and relevance of learning from someone who does the same work you do.

One of the most practical things a team can do is identify an AI Champion. Not someone handed a formal title or sent to a certification program. Someone who is naturally curious, willing to share early, and comfortable talking about what didn't work alongside what did.

That openness is the whole thing. Sharing a failure with your team takes more courage than sharing a win. An AI Champion who does both creates the permission structure for others to experiment without fear of looking incompetent.

The goal isn't to create an internal influencer. It's to build a team culture where learning travels fast and the floor rises together.

Do you have someone on your team playing this role, formally or informally?
#HumanCenteredAI