In this issue:
→ Why AI adoption is rising while leadership confidence isn’t
→ The trust transfer leaders are attempting, and why it fails
→ One habit that keeps trust anchored where it belongs
Something odd is happening in organizations rolling out AI. The tools get more capable every quarter. And trust in leadership doesn’t move at all.
Russell Reynolds found that 82% of leaders say AI understanding will be mandatory for the C-suite, yet only 41% feel personally confident in their own. And 54% worry generative AI will stunt critical thinking.
Read those together: leaders are being asked to project confidence about something most of them privately don’t feel.
So some are borrowing it. Presenting AI’s analysis as certainty. Hiding behind the output.
The subtle shift
Teams can tell the difference between a leader who used AI and a leader who’s hiding behind it.
→ Used it: “Here’s the analysis, here’s where I disagree with it, here’s my call.”
→ Hiding: “The data says.” “The model recommends.” “The analysis is clear.”
One owns the decision. The other launders it.
The hidden risk
Every time a leader attributes a decision to the tool, they teach the team that accountability lives somewhere else.
Trust doesn’t transfer to the AI. It just evaporates.
The leadership shift
Your people don’t need you to be more certain than the machine. They need you to be more accountable than it.
That’s a bar AI can never clear.
THE ATTRIBUTION AUDIT
This one doesn’t run on how you think you communicate. Pull up the last three significant decisions you announced — the actual Slack message, email, or meeting notes. Read your own words. Then score. Four minutes.
Score each 1 to 5, where 1 is never and 5 is most of the time.
1. My decisions arrive attached to what the analysis showed rather than to what I concluded.
2. I have described an output as clear, obvious, or conclusive without saying whether I agreed with it.
3. When a decision went badly, my explanation included where the information came from.
4. I cannot recall the last time I told my team I disagreed with something a tool produced.
5. I would find it harder to defend a decision if the analysis behind it were removed from the room.
Your score
5 to 10 — Anchored. Your judgment is visible in how you communicate. Keep saying the disagreement part out loud, because that’s what makes it visible.
11 to 17 — Drifting. You are owning your decisions and describing them as though the analysis owned them. The gap is in the language, not the thinking, which means it’s fixable this week.
18 to 25 — Laundering. Accountability has moved into the passive voice. Your team is hearing a system with a person attached rather than a person with a system attached. They will not say this to you.
The swap
Every laundered sentence has an owned version. The difference is one clause.
Instead ofSayThe data says we should consolidate.I decided to consolidate. Here’s what convinced me.The model recommends this candidate.I’m going with this candidate. The analysis flagged something I’d missed.The analysis is clear on timing.I think the timing is right, and here’s where I’d push back on my own reasoning.
The owned version is longer. That’s not a defect. The extra clause is the accountability, and removing it is exactly how the laundering happens.
Three moves this week
Replace “the data says” with “I decided, and here’s why” in your next three decisions. Count how often you catch yourself reaching for the first one.
Name your disagreement with an output publicly, at least once. Not the whole reasoning. Just: the analysis said X, I’m doing Y. Visible judgment is the only kind that builds trust.
When you don’t know, say so. Borrowed certainty reads as exactly what it is, and your team has been reading it longer than you think.
Question of the week: In my last big decision, did my team hear my judgment or the tool’s?
Before AI reshapes your organization, make sure it isn’t reshaping your ability to think.
The Human Intelligence Assessment is free and takes about ten minutes. It measures the three capabilities AI cannot replace: Awareness, Adaptability, Authenticity.
→ Take the free Human Intelligence Assessment
Lead what AI can’t.
JoshHMiller.com