Curated and analyzed by the JobGoneToAI team. Original reporting by fortune.com.
High-Paying Jobs at Greater Risk of AI Displacement, Says OpenAI Cofounder

— fortune.com
Key Takeaway
An analysis by OpenAI cofounder Andrej Karpathy reveals that high-paying jobs are more vulnerable to AI disruption, while lower-paying jobs are less exposed. Despite fears of a jobs apocalypse, some reports indicate a stable demand for certain roles, suggesting a complex relationship between AI adoption and job security.
From the Original Report
Andrej Karpathy used AI to gauge which U.S. professions are most vulnerable to the technology amid growing fears that a jobs apocalypse may be headed for the economy. Recommended Video Over the weekend, the OpenAI cofounder and former director of AI at Tesla posted a graphic showing how susceptible every occupation is to Al and automation, using
Bureau of Labor Statistics data. Different jobs received scores on a scale of 0 to 10, with 10 being most exposed. While the overall weighted exposure was 4.9, Karpathy’s data also showed that professions earning more than $100,000 a year had the worst average score (6.7), while the those earning less than $35,000 had the lowest exposure (3.4).
His chart quickly drew attention online, with many predicting doom for white-collar workers. But Karpathy soon removed the data. “This was a saturday morning 2 hour vibe coded project inspired by a book I’m reading,” he explained on X on Sunday morning.
“I thought the code/data might be helpful to others to explore the BLS dataset visually, or color it in different ways or with different prompts or add their own visualizations.
This is an excerpt. Read the full article at fortune.com.
Original Source
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