𝐉𝐨𝐡𝐧 𝐓𝐚𝐬𝐡𝐟𝐞𝐞𝐧

Why AI job losses could trigger demand-driven deflation** AI doesn’t just make things cheaper by boosting productivity. The bigger risk is that it removes income from the people who buy things. When enough jobs disappear faster than new ones appear, spending falls. That is a classic demand shock & demand shocks can produce deflation. Automation has always displaced workers. The difference with AI is speed & breadth. It hits white-collar, creative & service jobs at the same time, not just factory floors. Wage income is the main source of consumer spending in most economies. Cut that income & demand will drop Lower demand means companies sell fewer goods & services. To clear inventory they cut prices. Once prices start falling because people can’t afford to buy, you get the opposite of the “good deflation” story. This is demand-collapse deflation the kind seen in the 1930s & in Japan’s lost decades. This is happening while central banks are still fighting sticky inflation. They raise interest rates to cool prices. Higher rates make mortgages, car loans, credit cards & business borrowing more expensive. Households already losing income now face higher debt costs. That is the liquidity crunch. Liquidity crunch + falling incomes = forced cutbacks. People delay big purchases, stop eating out, cancel subscriptions & buy cheaper alternatives. Retailers, restaurants & service businesses see weaker sales & start laying off more workers. The process feeds on itself. Banks also tighten lending when unemployment rises & rates are high. Credit becomes scarcer exactly when many households need it most. Less credit means less spending, which means more job losses, which means even less spending. That feedback loop is what turns a slowdown into sharper deflationary pressure. Productivity gains from AI still happen and can lower some costs. But if the income losses are large & concentrated, the demand destruction can outweigh the supply-side price drops in the near term. Companies may cut prices to chase fewer customers, even if their own costs are falling. Historical pattern: technologies that destroy jobs faster than they create them (or create them in different places & skill sets) produce periods of weak demand. Combined with tight monetary policy, the result has often been falling prices & wages rather than broad-based abundance. The hypothesis is not that AI makes everything free and everyone richer. It is that rapid job displacement in a high-rate environment can first produce a demand shortfall. That shortfall shows up as lower spending, tighter credit, and eventually lower prices. The mechanism: job losses → less spending → price pressure + rate-driven liquidity squeeze.

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