Gate News Report, March 16 — OpenAI co-founder Andrej Karpathy used AI to analyze the U.S. labor market, rating the exposure of various occupations to AI on a scale from 0 to 10 based on U.S. Bureau of Labor Statistics data. The results showed that white-collar jobs such as software development, data science, financial analysis, law, and writing scored as high as 9, with high-paying jobs earning over $100,000 annually averaging a score of 6.7; meanwhile, manual and service jobs like construction workers, caregivers, and barbers scored only 1 to 2. After the data was released, it drew widespread attention, but due to numerous misinterpretations, Karpathy deleted it. A recent report by Anthropic reached similar conclusions; however, Citadel Securities countered that there is limited evidence of AI actually replacing jobs at present, and demand for software engineers is expected to increase by 11% year-over-year in 2026.
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