Jack Dorsey just dropped a bomb on the fintech world, and Wall Street loved it. Block announced it’s cutting 4,000 employees—roughly 40% of its workforce—and the stock popped 24% after hours. Thousands of people lost their jobs, and investors threw a party. Welcome to the AI economy.
Here’s the thing: this wasn’t a desperate restructuring. Dorsey didn’t blame the economy or pretend it was temporary. He basically said, “AI made these jobs unnecessary, and honestly, we’d rather admit it now than get forced into it later.” That’s refreshingly blunt. It’s also terrifying.
**The Domino Effect Is Already Starting**
Block’s competitors—PayPal, Shopify, Toast, and the rest—are watching this like hawks. The moment one player in a competitive market cuts costs through AI, everyone else has to follow or die. It’s not a choice; it’s survival. So fintech will cut. Then the pressure spreads to banking, insurance, consulting, law, accounting—basically anywhere people get paid to think.
We’re talking about tens of millions of American workers in the knowledge economy. And they’re about to discover that the degree they took on debt for doesn’t protect them from being replaced by a machine.
**The Math Gets Ugly Fast**
Run the numbers three different ways, and you get unemployment scenarios ranging from 8% to 13% nationally. For knowledge workers specifically? Try 15% to 23%. That’s Great Depression territory for the college-educated crowd who were promised that education was their hedge against technological disruption. Spoiler alert: it wasn’t.
The kicker? These aren’t cyclical jobs that come back when the economy recovers. They’re gone permanently. A 50-person team doesn’t need to rehire when demand returns—AI handles what those people used to do. The productivity gain is permanent. The displacement is permanent.
**The Paradox Nobody Wants to Talk About**
Here’s where it gets weird: GDP probably keeps growing. Corporate margins expand. The stock market could hit 8,000, 9,000, maybe higher. Earnings reports will look fantastic. And simultaneously, 12% of the country will be structurally unemployed. Both things will be true at the same time.
Wealth inequality doesn’t just get worse—it gets historically bad. The labor share of GDP compresses as productivity gains flow to capital instead of workers. Stock ownership is concentrated in the top 10%, so rising markets just transfer wealth upward faster.
**The Petro-State Comparison**
Think about Saudi Arabia or Kuwait—economies where a narrow slice generates most of the wealth with minimal labor. Governments redistribute through public jobs and subsidies. The U.S. AI economy could start looking similar, except we’ve never done large-scale redistribution before, and the people affected aren’t expecting it.
Knowledge workers built their lives around the assumption they’d always be needed. If that changes overnight, the adjustment gets complicated fast.
**Who Actually Wins**
The companies building AI infrastructure—the chip makers, the hyperscalers, the model providers—are the new oil barons. They own the machines that own the economy. Everyone else? That’s the question nobody’s answered yet.
Block just forced it into the open. And while policymakers argue, the investment implications are already clear: the infrastructure of AI is where the money flows.