I was going to write about AI-washing — companies blaming artificial intelligence for layoffs that are really about margins, over-hiring, or a convenient narrative for investors. The data backs it up: of 1.2 million US job cuts announced in 2025, only 4.5% cited AI as the reason. Most of it is theatre.

Then Block fired 4,000 people and the stock surged 23%.

What actually happened

On Thursday, Jack Dorsey announced that Block — parent company of Square and Cash App — would cut more than 40% of its workforce. From over 10,000 people to fewer than 6,000.

The numbers that make this different from every other tech layoff: Block just posted $2.87 billion in gross profit, up 24% year on year. Cash App grew 33%. They raised guidance for 2026. They bought back $790 million of their own stock in a single quarter. This is not a company in trouble.

Dorsey was explicit about why: "We're not making this decision because we're in trouble. Our business is strong. But something has changed. We're already seeing that the intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company."

His CFO, Amrita Ahuja, put a number on it: engineering output is up more than 40% since September 2025.

Do the maths. Before: $2.87 billion gross profit across roughly 10,000 employees — about $287,000 per person. After, using their 2026 guidance: $12.2 billion across 6,000 people. Over $2 million per person. That's not a cost-cutting exercise. That's a different kind of company.

Klarna's been doing this quietly for two years. Headcount halved from 5,527 to 2,907 while revenue grew. Revenue per employee hit $1.24 million — a 3.6 times increase. Siemiatkowski raised pay by 60% for the people who stayed. I've been writing about this as leverage density — value created per unit of human attention. Block just demonstrated it at a scale nobody can ignore.

The stock market noticed. Block surged 23% in after-hours trading. One analyst said activist investors will start demanding similar "intelligence-native pivots" across the S&P 500. That feels right. Once the numbers are this clean, every board is going to have the conversation.

The honesty problem

What makes Block hard to dismiss is the specificity. They can name the tool — their internal AI coding assistant, Goose. They can name the trigger — a step change in model capability in December 2025 that Dorsey specifically called out. They can show the result — 40% increase in engineering output. And they're still hiring senior AI engineers even as they cut headcount everywhere else.

Most companies citing AI aren't doing any of this. A Harvard Business Review study from January found companies laying off for AI are doing so "almost completely in anticipation of AI's impact" — cutting based on potential, not demonstrated performance. Even Sam Altman has called out CEOs blaming AI for cuts that aren't really AI-driven. That's the AI-washing I was originally going to write about.

Block complicates the narrative because it might actually be real. Or at least more real than most. Dorsey is a skilled communicator and he knows "intelligence-native company" sounds better than "we over-hired and AI makes those roles redundant." But the evidence is there in ways it isn't for almost anyone else.

I keep coming back to two of his quotes.

"I'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome."

And: "I don't think we're early to this realisation. I think most companies are late."

The first one is the offensive restructuring argument — do it from a position of strength, not weakness. The second is the one that should make people uncomfortable. Because the stock market's response suggests investors agree with him.

The test is twelve months from now

If Block's output and quality hold with half the people, this becomes the playbook every consulting firm sells for the next decade. If they stumble — customer experience degrades, innovation slows, the remaining people burn out — it's a cautionary tale about confusing headcount reduction with transformation.

I don't know which it'll be. Nobody does, including Dorsey. That's what makes this interesting rather than just another executive pronouncing on AI strategy.

What I'd actually take from this

If you run a smaller business — a team of 10, 50, maybe 500 — Block's numbers are dramatic but the headline isn't the point. The useful question is simpler: if you had to operate with half your current headcount, what would break and what wouldn't?

Not because you should cut your team in half. Because the answer tells you where your actual value creation lives, and where you're carrying coordination overhead that AI could absorb. Most founders I talk to have never mapped this. They have an instinct about who's essential and who isn't, but they've never tested it against what AI can genuinely handle today.

The companies that work this out proactively will look like Block — deliberate, planned, from a position of strength. The ones that wait will face the same question eventually, from investors or competitors, with less room to get it right.

Dorsey's phrasing was deliberate: "I'd rather get there honestly and on our own terms than be forced into it reactively."

Whatever you think of the execution, he's not wrong.

Related: leverage density and scaling without hiring, the collaboration paradox, and the E-Myth operating system.