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AI

Why Manager Behavior Is the Whole Game

Research on change adoption: employees match manager behavior, not manager speeches. The gap between stated priority and visible behavior is the most important data your team collects.

Lesson 1

From endorser to user.

You do not need to be an AI expert, you need genuine, visible, imperfect use in real work. Showing a rough Copilot output and how you will improve it beats presenting only polished results.

Manager behavior signals

Forward linksTraining onlyVisible useYou prompt on real workTeam watches
Your team watches what you do, visible use beats forwarded training links.

Core principles

  1. Signals "real": Copilot in team settings, sharing good and bad outputs, asking if anyone tried Copilot before manual work, trading time for experimentation, talking about your learning curve.
  2. Signals "optional": endorse in meetings but no personal habit change, delegate to one enthusiast, AI only in formal training, private skepticism with public endorsement.
  3. Authority gradient: people may perform adoption to please you, create space for "I tried it and it did not help for this task."
  4. Shift: from AI spokesperson to AI user on the same learning curve as your team.

Check yourself

What does the research on change adoption say about how managers actually drive AI use on their teams?

Do this in Copilot

Use Copilot once this week on real work; tell your team what you tried, what happened, what you would do differently.

Paste this into Copilot Chat and work through it before moving on.

Model visible use

Summarize the key points from [meeting notes / document] for my team standup, bullet format, under 100 words. I will share the draft and what I edited before sending.
Open Copilot →
  • Visible modeling

Did you run this in Copilot? Mark complete when you have tried it.

Next lesson: Creating Psychological Safety Around AI Use →