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Post AI Sessions: Episode 3

the number that ate strategy

Marco tests an AI org chart tool that tells a CEO to fire 42% of his company, including his own brother. Lena brings the Anthropic and OpenAI IPO numbers: $6 million per employee versus $395,000 for the median SaaS company. They debate whether revenue per employee is the metric that matters, or the metric that lies. Block cut 40% of staff and the stock jumped 24%. Meta did the same and got punished. Marco changes his mind about RPE mid-episode. Lena admits the Klarna reversal changes how she thinks about AI-driven layoffs. 58 minutes of genuine disagreement between two people who respect each other.

June 18, 202658 min
Marco
Ex-founder, skeptic. "I don't know, man."
Lena
Product strategist, data-driven. "Here's what the data actually says."
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About this episode

Revenue per employee is becoming the defining metric of the AI era. Anthropic generates roughly $6 million per employee. OpenAI hovers around $5.5 million. The median public SaaS company generates $395,000. That's a fifteen-to-one gap. And this month, both Anthropic and OpenAI filed for IPO, which means every board member at every public company is about to see the exact numbers, and ask their CEO a question that currently has no comfortable answer.

But the metric lies as much as it reveals. OpenAI projects $14 billion in losses this year. Klarna hit $1 million per employee by replacing customer service with AI, then quietly rebuilt human teams when the edge cases overwhelmed the bots. Block cut 40% of its workforce and the stock jumped 24%. Meta cut 10% and got punished. The market is learning to tell the difference between architecture and amputation.

Marco brings his hard-won skepticism: he tested an AI org chart tool that told a CEO to fire his own brother. Lena brings the data from the IPO filings, the Epoch AI comparisons, and the Post AI Index. They disagree about whether RPE is a real signal or a convenient narrative. Marco changes his mind mid-episode about the metric. Lena admits the Klarna reversal has changed how she thinks about AI-driven layoffs. Neither leaves fully convinced. That's the point.

What they cover

Transcript excerpt

Marco I find this thing called, um, OrgBrain. It ingests your HR data, your team structure, your performance reviews, your revenue numbers, and it spits out, quote, "an AI-optimized organizational design." Cost me three hundred bucks for one report. It told him to fire forty-two percent of his company. Including his own brother, who runs operations.

Lena [RINDO] Was his brother underperforming?

Marco I don't know, man! The tool doesn't know either! It just saw someone in ops, looked at the P&L, and said "redundant." No conversation, no context, no "hey, his brother knows every supplier relationship they have." Just gone. And the worst part is the CEO looked at that report and for about fifteen seconds, I saw him actually considering it.

Lena That's the thing. That fifteen seconds is what's happening in boardrooms across the country right now. Did you see Block cut forty percent of their workforce in February?

Marco That's actually why I was testing this thing. Because everyone's pointing to Block and saying "see, it works." Dorsey cut four thousand people and the stock jumped twenty-four percent in after-hours.

Lena Anthropic generates roughly six million dollars per employee. OpenAI around five and a half million. The median public SaaS company does three hundred ninety-five thousand.

Marco Wait. Wait wait wait. Six million versus four hundred thousand? That's not a gap. That's a different category of thing entirely.

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