An OpenAI cofounder ‘vibe coded’ an analysis of the U.S. labor market’s exposure to AI, and the highest-paying jobs have the worst scores

Core Insights - Andrej Karpathy utilized AI to assess the vulnerability of various U.S. professions to automation, revealing concerns about a potential jobs crisis in the economy [1][4] - The overall weighted exposure score for occupations was 4.9, with high-earning professions (over $100,000) averaging a score of 6.7, while lower-earning jobs (under $35,000) had a score of 3.4 [2] Group 1 - The chart indicated that high-risk professions included software developers, data scientists, and financial analysts, all scoring 9, reflecting the increasing use of AI in tasks traditionally performed by knowledge workers [4][5] - Companies are experiencing a reduced need for entry-level positions as AI tools enhance productivity, leading to layoffs that some attribute to AI, although skeptics argue this is a response to overhiring during the pandemic [5] Group 2 - In contrast, lower-risk jobs such as construction laborers and home healthcare aides received scores of 1 and 2, indicating they are less susceptible to automation [6]