# Сопутствующие статьи по теме Job Disruption

Karpathy Deletes Repository in Emergency! AI Job Apocalypse Chart Goes Viral, 60 Million White-Collar Jobs at Risk

Karpathy's viral project, "karpathy.ai/jobs," analyzed 342 U.S. occupations using AI (Gemini Flash) to assign an "AI exposure" risk score (0-10). The findings revealed an average exposure of 4.9, with 42% of jobs (59.9 million positions) scoring 7 or higher, indicating high automation risk. High-risk roles are primarily screen-dependent and information-dense, including software developers (9/10), financial analysts (9/10), lawyers (8/10), and office clerks (9/10). The most secure jobs involve complex manual labor, such as plumbers, construction workers, and cleaners, which are difficult to automate. Higher-paying and degree-requiring jobs are more significant exposure. Karpathy later removed the project, clarifying it was a quick personal experiment that was overinterpreted. A supporting Harvard study confirms AI is already causing a "great reassignment," reducing hiring in highly automatable roles while increasing it in AI-augmented ones, highlighting a bifurcation in the white-collar job market.

marsbit03/16 11:44