A Nobel laureate economist warns that widespread fears about AI eliminating jobs may contribute to the outcome people fear. In an interview highlighted by Fortune and also carried by Yahoo News, the economist argues that when large numbers of individuals and organizations make decisions based on negative expectations, those expectations can shape labor-market behavior in ways that bring about the feared results. The concern is not framed as a denial that AI can affect employment, but rather as a warning about how expectations influence decisions—such as hiring, training, investment, and workforce planning. The economist’s key point is that fear and pessimism can become self-reinforcing: if people assume jobs will disappear, they may act in ways that reduce opportunities, thereby making the shift more likely. Taken together, the coverage emphasizes the role of beliefs and economic decision-making in determining labor-market outcomes related to AI, presenting a caution that public narratives about job loss can influence real-world responses.