AI will not cause permanent unemployment; history shows productivity gains expand the labor market, not shrink it

The article argues that claims of AI causing economy-wide permanent unemployment rest on the 'lump-of-labor' fallacy—the assumption that there is a fixed amount of work to be done. The author contends that human wants and needs are not fixed, and precedent shows that when the cost of a powerful input falls, the economy expands rather than contracts.

Historical examples cited: before farm mechanization, roughly a third of U.S. employment was in farming; by 2017, it was about 2 percent. Farm output almost tripled, supporting a massive increase in population as displaced workers moved into factories, offices, hospitals, labs, and services. Similarly, when electricity adoption rose from 5 percent of American factories in 1900 to almost 80 percent of manufacturing power by 1930, labor productivity growth doubled for decades and demand for labor grew rather than shrank.

The article notes that VisiCalc and Excel did not eliminate bookkeepers; instead, bookkeeping roles were transformed into financial analysis work, with roughly 1M 'bookkeepers' lost but roughly 1.5M 'financial analysts' gained. The author concludes that productivity gains from AI should increase demand for labor because labor becomes more valuable, and new industries—including service sectors catering to the wealthy—emerge to absorb workers displaced from older roles.