Something Shifted in How My Team Uses Information. I Am Still Processing It.

This is not a framework. I am not pitching anything. I just want to share something that happened in the last quarter that I keep coming back to.

We are a 160-person company with operations across three time zones. For years, the bottleneck in every cross-functional decision was the same: someone had the context, someone else needed it, and the transfer was slow. Meetings existed almost entirely to move information between people who should have had it already.

We deployed an internal AI workspace about eight months ago. Not to replace anything specific. Just to see what would change.

What changed was not what I expected.

I expected productivity numbers to improve. Time saved, tasks automated, reports generated faster. That happened, but it was not the thing that surprised me.

What surprised me was that the nature of our disagreements changed.

Before, when two executives disagreed in a meeting, at least 40% of the time the disagreement was actually about facts. Different people had different data. One person remembered the Q2 number differently than another. Someone had a document the other person had not read. The disagreement looked like a strategic conflict but it was actually an information gap.

Now when we disagree, we are almost always actually disagreeing. The AI has surfaced the same underlying data to everyone before the meeting. We walk in with shared facts. The disagreements that remain are real differences in judgment and priority.

That sounds like a small thing. It is not a small thing.

It means our meetings have become genuinely harder, in a good way. We cannot paper over a strategic disagreement with ambiguity about the underlying data anymore. If two of us see the same facts and reach different conclusions, we have to actually reckon with why. We have to talk about values and risk tolerance and strategic bets in a way we used to avoid by retreating into "let me get you that number" and never quite following up.

I did not anticipate that an AI tool would make my leadership conversations more honest. But that is what happened, and I think it is because the tool removed the escape route that imprecise information had always provided.

The thing I am still processing is what this means for hiring. The executives I most want to work with are the ones who thrive in that environment, the ones whose thinking gets sharper when the data is shared and the only thing left to debate is what to do about it. That turns out to be a different profile than the ones who were most valuable when information was scarce and the person who controlled the data controlled the conversation.

I do not have a conclusion here. Just something worth thinking about if you are in the middle of an AI deployment and wondering what is actually going to change.