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AI Job Vulnerability: High Earners at Risk, Debate Sparks

3/16/2026

36 6 Full Breakdown

Summary

Story summary

Andrej Karpathy, cofounder of OpenAI, analyzed U.S. job vulnerability to AI, scoring occupations 0–10, with high-earning roles averaging 6.7 and lower-wage roles 3.4.
The online debate followed the findings, prompting Karpathy to remove the graphic after misinterpretation.
Citadel Securities reported an 11% rise in software engineering postings.
AI adoption remains low because AI data center demands are driving new construction jobs.

History

Historical Context

In 2013, a study by Carl Benedikt Frey and Michael Osborne estimated that 47% of U.S. jobs were at high risk of automation, particularly affecting low-paid occupations. This prediction spurred organizations like OpenAI and Citadel Securities to adapt, resulting in an 11% increase in software engineering roles. Today, concerns persist about AI's impact on job markets, highlighting the need for workforce adaptation.

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Story summary

Andrej Karpathy, cofounder of OpenAI, analyzed U.S. job vulnerability to AI, scoring occupations 0–10, with high-earning roles averaging 6.7 and lower-wage roles 3.4.
The online debate followed the findings, prompting Karpathy to remove the graphic after misinterpretation.
Citadel Securities reported an 11% rise in software engineering postings.
AI adoption remains low because AI data center demands are driving new construction jobs.

1 / 2