Anthropic economists interpret the AI unemployment paradox: it is a skill-biased technology

Recently, Peter McCrory, the head of economics at Anthropic, explained the AI unemployment paradox. He pointed out that AI capabilities have significantly improved, raising reasonable questions about why there has not yet been a noticeable impact on unemployment rates. The U.S. Business Trends and Outlook Survey shows that about one-fifth of U.S. businesses use AI to some extent, and productivity growth in the U.S. has strengthened in recent years, some of which may be related to AI.

McCrory stated that the unemployment rate in the labor market is still close to the full employment level identified by the Federal Reserve, and even deep data analysis makes it difficult to draw clear conclusions about the impact of AI. The basic judgment is that so far, AI has shown characteristics of skill-biased technology, automating certain work processes while complementing and amplifying the professional skills that rely on human participation, thereby creating maximum value in human-machine collaboration.