TechFlow reports that on March 16, according to Fortune, Andrej Karpathy, co-founder of OpenAI, used AI to analyze the U.S. labor market, assigning scores from 0 to 10 to various occupations based on their exposure to AI—using data from the U.S. Bureau of Labor Statistics. The results showed that white-collar jobs such as software development, data science, financial analysis, law, and writing scored as high as 9; high-paying occupations with annual salaries exceeding $100,000 averaged a score of 6.7; while blue-collar and service-oriented roles—including construction workers, caregivers, and barbers—scored only 1 to 2. After the data was released, it drew widespread attention but was heavily misinterpreted; Karpathy subsequently deleted it. Meanwhile, a recent report by Anthropic reached similar conclusions; however, Citadel Securities countered that evidence of AI actually displacing jobs remains limited, noting that demand for software engineers rose 11% year-on-year in 2026.
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