Most meetings present. The best ones challenge.

By Martin Bergmann | AI Project Lab | June 2026

Those numbers have not moved in years. The meeting format has not changed either. Project team meetings have one job: surface the honest thinking that makes projects succeed. Most of them are not designed for it.

Ro Fernandez published a compelling argument recently, worth building on. Her case is grounded in neuroscience, not productivity folklore. Your brain processes conscious thought at just 10 bits per second. Put that brain in a meeting and ask it a complex question on the spot, and what you get is not thinking. It is pattern-matching. Fast, automatic, and frequently wrong when the problem is genuinely complex.

Her fix starts before the meeting. Give people the right questions in advance. Let the brain do its actual work before everyone sits down. Then change what you ask in the room. Replace "Any questions or comments?" with: "What is one thing you would improve about this?" or "What would have to be true for this to fail?" One set closes the room down. The other opens it up.

Here is where AI extends her argument in three specific ways.

• Before the meeting: AI removes the friction from preparation. It drafts focused agendas, surfaces relevant context, and sends pre-reads so people arrive ready to think, not catch up.

• During the meeting: AI captures decisions and action items in real time. The gap between "I thought you had that" and the next status report disappears.

• After the meeting: AI tracks ownership and detects patterns over time. Which recurring meetings produce no documented decisions? Which action items never close? Which meeting types consistently run long?

That last capability is underused. Most teams experience meeting culture as a feeling. AI turns it into a data set. The honest constraint is this. AI surfaces the insight. It does not reduce the political cost of acting on it. Canceling a meeting that has existed for two years still costs something. What AI removes is the plausible deniability. You can no longer claim you did not know.

AI gives you the data. Culture decides what you do with it. The real unlock is not making bad meetings more efficient. It is making the honest call about which ones deserve to exist at all.

That gap between insight and action is where most AI implementations quietly fail. It is also where the most interesting work is happening right now.