Andrej Karpathy recently analyzed how AI and automation threaten various U.S. professions, prompting concerns about a potential jobs apocalypse. Utilizing Bureau of Labor Statistics data, he created a vulnerability chart scoring professions from 0 to 10, revealing that high-paying roles (over $100,000 yearly) scored an average of 6.7 for exposure, while lower-paying jobs (under $35,000) had a score of 3.4. Karpathy’s data indicated that tech-related jobs, including software developers and data scientists, are highly threatened (score of 9), while construction and service roles received low exposure scores (1-2). Despite initial alarm, Karpathy removed the chart, citing misinterpretation. Other reports, like Anthropic’s, echoed concerns about AI’s impact on experienced workers while suggesting actual AI adoption remains limited. Contrarily, Citadel Securities reported increasing demand for software engineers and noted that rising compute costs may prevent significant job displacement. Overall, evidence points to a more nuanced view of AI’s role in the economy.
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An OpenAI Co-founder Analyzes U.S. Labor Market Vulnerability to AI: Surprising Results Show Highest-Paying Jobs at Greatest Risk
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