Two answers to the same question
Ask your leadership team whether the organization is using AI and you will get a confident yes, with examples.
Ask the same question across the whole organization and roughly one person in five cannot answer it.
Not "I disagree with the strategy." Cannot say whether one exists.
The flat line is doing all the work
Adoption itself moved. Across the same survey of employed US adults, the share saying their organization had begun integrating AI rose six points, to 47%. The share saying they did not know did not move at all — not that quarter, and not the ones before it.
If those people were simply behind, the number would shrink as adoption spread and word got around. A lagging group closes. A group that stays exactly the same size while everything around it moves is being missed the same way every time.
We measure what went out, not what arrived
The all-hands happened. The email sent. The training invitation went to everyone. All true, and none of it is the same claim as "it arrived."
An announcement written in the language of initiatives and pilots, sent through the channels leadership already reads, lands with everyone who was going to hear about it anyway. The flat line is what that looks like from the outside, quarter after quarter.
And it has a price that is not abstract. Every AI decision after this one — a policy on client data, a tool people are expected to use, a rule about what gets disclosed — goes out through the same channels, to the same room. If a fifth of it did not receive the first message, the same fifth is not receiving this one. You are not building on a shared starting point. There was never one.
You cannot work out who missed it
That is the finding. The people you would need to name are the ones no channel you own has reached.
What you can do is find out what your own number is, and it costs about an hour. Ask ten people who don't report to you whether the organization uses AI, and whether there's a policy on it. Not a survey. A question, in their words, with nothing riding on the answer.
Whatever comes back is the first measurement of arrival most organizations ever take. And it will tell you more about your next announcement than any send report will.
A session where everyone hears it at the same time, in the same room: See the workshop →
Keep reading: A gap in enthusiasm is an argument · The bar you set is the bar you get
This is the thinking behind a Trusted AI Culture.
Sources: Gallup, "Organizational AI Adoption Jumps Six Points" (20 July 2026); Gallup Panel workforce study, 22,573 employed US adults.