According to Fortune magazine, a new psychological phenomenon emerged in the U.S. workplace in 2026 — FOBO (Fear of Becoming Obsolete), the fear of being replaced. This emotion differs from traditional "unemployment anxiety" and more reflects people's concerns about their own value and relevance. A KPMG survey found that 40% of employees consider AI-induced unemployment as their main source of anxiety, while 63% believe AI has made the work environment less human.
In recent years, the pace of change in job skill requirements has significantly accelerated, increasing by 66% compared to a year ago. This psychological state has gradually become the mainstream emotion in the workplace. Predictions from corporate executives and policymakers have further exacerbated this anxiety. For example, Dario Amodei, CEO of Anthropic, stated that AI could eliminate 50% of entry-level white-collar jobs within five years, and Microsoft's AI CEO Mustafa Suleiman expressed similar views. U.S. Senator Mark Warner warned that the impact of AI is faster than expected by the industry, with the unemployment rate for new graduates possibly reaching 35% within two years.
However, the FutureTech team at MIT offers a different perspective on AI's impact on the labor market. Their research shows that AI's influence is more like a "gradually rising tide" rather than a sudden "tsunami." After analyzing 3,000 types of job tasks and 17,000 assessments, the study found that AI can already complete 50% to 75% of text-based work at the lowest acceptable quality level. By the third quarter of 2024, cutting-edge models will be able to complete 50% of the tasks that a human can do in a day. It is projected that by 2029, AI's success rate in most text tasks may reach 80% to 95%.
Although AI's rapid progress is impressive, the actual progress of AI application in companies is relatively slow. Goldman Sachs data indicates that less than 19% of companies in the U.S. have actually deployed AI, and this number is expected to rise to only 22.3% in the next six months. Meanwhile, only about one-third of employees have received adequate AI training.
The MIT study concludes that although AI is powerful and progressing rapidly, full automation will still take time. Fields such as law and medicine, which have low tolerance for errors, have some buffer space. Ultimately, the report emphasizes that the key lies in how to deal with this fear, viewing AI as a tool rather than a threat, is an effective strategy to address FOBO.
Key Points:
🧠 40% of employees are worried about AI causing unemployment, and 63% believe AI makes the work environment less human.
📊 MIT research shows that AI's impact on the labor market is a gradual process rather than a sudden one.
🏢 Companies lag in AI applications, with less than 19% having actually deployed AI.
