Your meetings aren’t the problem. Your team sizes are. And the math just changed in a way most leaders haven’t caught up to yet.
AI raised the output per person by an order of magnitude. It did not reduce the cost of coordination by a single dollar. That mismatch is compounding every quarter — in your calendar, in your shipping cadence, in the gap between what your teams produce and what they produce correctly. The argument that follows isn’t a tech industry fad. It’s a structural shift backed by combinatorics, evolutionary psychology, military doctrine, and hard revenue data — and it produces a framework simple enough to sketch on a napkin and uncomfortable enough that most leaders will refuse to act on it. The ones who don’t refuse will eat the ones who do.
This briefing covers:
The combinatorics case for five. Why n(n-1)/2 explains your calendar, and what happens to coordination cost when per-person output jumps from $300K to $2M per year.
What AI actually changed. Not volume. Correctness. And why optimizing for the wrong variable produces teams that feel productive while shipping things that don’t work.
The scout vs. strike team framework. How to classify every project and initiative into the right structure, with specific assignment parameters for each.
The Steinberger Threshold. What separates someone who can direct AI agents from someone who gets directed by them, and how to run a scout mission to find out which people you actually have.
The ambition failure. Why “same mission, fewer people” is the least interesting thing you can do with a 10x force multiplier, and what the companies getting this right are doing instead.
Five diagnostic questions. The ones that reveal whether your org is structured for the AI era or still optimized for a world that no longer exists.
The full briefing follows, along with a five-prompt kit you can run this week.
