[OpenAI Co-founder Analyzes AI Risks in the U.S. Labor Market with 'Ambient Programming'; High-Paying Jobs Have the Highest Exposure] DeepTech TechFlow reports, on March 16, according to Fortune, OpenAI co-founder Andrej Karpathy utilized AI to analyze the U.S. labor market, assigning exposure scores ranging from 0 to 10 to various professions based on data from the U.S. Bureau of Labor Statistics. The results showed that white-collar positions such as software development, data science, financial analysis, law, and writing scored as high as 9 points, while high-paying jobs with annual salaries exceeding $100,000 had an average score of 6.7 points. In contrast, physical and service-oriented professions like construction workers, caregivers, and hairdressers scored only 1 to 2 points. The data sparked widespread attention upon release but was subsequently deleted by Karpathy due to extensive misinterpretation. In response, a recent report by Anthropic reached similar conclusions; however, Citadel Securities countered, stating that current evidence of AI replacing jobs is limited, and the demand for software engineers is projected to increase by 11% year-over-year by 2026.