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Two economists mathematically proved that AI will destroy the economy. Researchers from Wharton and Boston University published a terryfiying paper called "The AI Layoff Trap." They mapped out the economic end-game of the AI transition, and it exposes a fatal flaw in competitive capitalism. When a company replaces a worker with AI, it captures 100% of the wage savings. But that displaced worker is also a consumer. When they lose their job, they stop buying things. The company gets all the savings, but the loss of consumer demand is spread across the entire economy. If there are 20 competitors in a market, a CEO only absorbs 1/20th of the economic damage their layoffs just created. So every single rational CEO has a mathematical incentive to automate as fast as possible. They can literally see the cliff approaching, and they still step on the gas. It triggers an unavoidable Prisoner’s Dilemma. If you don't automate, your competitors will, and they will crush you on price. It doesn't just hurt workers. It destroys the businesses, too. The economy gets trapped in an automation arms race. Companies fire their workforce to stay competitive, until the entire consumer base is completely hollowed out. At the limit, the paper concludes: “Firms automate their way to boundless productivity and zero demand.” And the scariest part? The researchers mathematically tested every popular fix. Universal Basic Income? Fails. It raises the living standard but doesn't change the corporate incentive to cut jobs. Retraining? Fails. Worker equity? Fails. The paper proves that more competition actually makes the collapse happen faster. And "better" AI makes the damage worse. The only thing that mathematically stops the collapse is a targeted automation tax, forcing companies to pay for the purchasing power they destroy before they automate the job.