Andrej Karpathy, OpenAI cofounder and former director of AI at Tesla, recently highlighted U.S. professions vulnerable to AI and automation. Using Bureau of Labor Statistics data, he assessed job susceptibility on a scale from 0 to 10, revealing that high-paying professions over $100,000 scored an average of 6.7, while those earning under $35,000 received 3.4. His findings generated online buzz but were later removed, as he noted they had been misinterpreted. Notably, jobs such as software developers and financial analysts received high scores of 9, while low-margin roles like construction laborers scored only 1. A parallel report by AI startup Anthropic confirmed that while theoretical AI capabilities cover numerous sectors, actual usage remains limited. Furthermore, Citadel Securities countered doomsday predictions with evidence of stable job demands in technology and growing business formations, illustrating that the economy is adapting rather than collapsing due to AI.
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