Penn and Boston University just used game theory to calculate a brutally grim 'AI Layoff Trap.' By 2025, 100,000 tech jobs will have been slashed, and 80% of the U.S. workforce will be exposed to risk. Every CEO knows the drill. If you don’t automate layoffs today, Wall Street will eat you alive tomorrow. So you lay people off, your financials look great, and your stock options are safe. But what’s the real hidden cost? Algorithms don’t buy cars, code doesn’t pay rent, and AI doesn’t subscribe to any of the junk your company produces. Everyone is desperately firing society’s consumers just to survive the current bloodbath. The paper says universal basic income (UBI) won’t save the day. The only cure is a 'robot tax,' forcing the AI-replacing giants to pay for the collapse in purchasing power. Which is kind of hilarious. Expecting monopoly capital to give up absolute leverage and pay protection money for the macroeconomy’s survival five years down the line? The game of power has never cared about the market’s survival—only about who’s holding cash when disaster strikes.