According to CoinMeta, economists have refuted the warnings from Silicon Valley about the risk of layoffs related to AI. Empirical studies from Stanford University, the U.S. Census Bureau, the Federal Reserve Bank of Dallas, and the London School of Economics indicate that the impact of AI is not as severe as anticipated. Despite technology leaders warning of the risk of mass layoffs, economists believe that the effects are more concentrated, with young workers facing the greatest pressure. According to Dario Amodei, CEO of Anthropic, AI could threaten nearly half of entry-level white-collar jobs by 2030. Bill Gates also emphasized that without appropriate policies, AI could lead to fewer job opportunities within a decade. Research from Stanford University shows that AI has a significant impact on employment among young workers aged 22 to 25, with the employment rate for related positions being about 19% lower than for positions not affected by AI. Meanwhile, Gartner predicts that global AI spending will reach $2.7 trillion by 2026, an increase of 49.5%.