In the United States, discussions surrounding the impact of artificial intelligence on the labor market have intensified, particularly following statements made by Anthropic's CEO, Dario Amodei. In May 2025, Amodei warned that AI could potentially eliminate half of all entry-level white-collar jobs, leading to an unemployment rate of 10%-20% within a few years. However, by mid-2026, Peter McCrory, Anthropic's head of economics, presented a contrasting analysis based on 18 months of internal research, indicating that AI has not yet significantly affected the U.S. labor market. As of June 2026, the unemployment rate was at 4.2%, a figure associated with full employment by the Federal Reserve, and job openings were roughly equal to the number of unemployed individuals. McCrory's findings suggest that there has been no relative increase in unemployment among workers in roles that are highly exposed to AI automation compared to those in less-exposed positions. This data challenges Amodei's earlier predictions and suggests that the labor market remains robust despite the rise of AI technologies. McCrory attributes the lack of significant job loss to the complex nature of work, which still requires human oversight and cannot be fully automated. While both McCrory and Amodei agree that entry-level workers in highly exposed roles are currently the most vulnerable, they differ in their interpretations of the situation, with McCrory viewing it as a normal adjustment period rather than an impending crisis. This divergence highlights the ongoing debate within the tech industry regarding the future of work in the age of AI.