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

An OpenAI co-founder's analysis reveals a striking paradox in AI exposure across U.S. labor markets: high-earning professions ($100k+) face the greatest AI displacement risk with exposure scores of 6.7, while lower-wage jobs ($35k-) show minimal vulnerability at 3.4. This inverts typical automation patterns, suggesting AI threatens white-collar knowledge work more than manual labor.