GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

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Tyna Eloundou
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sam manning
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pamela mishkin
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Daniel Rock
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Paper
We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their correspondence with GPT capabilities, incorporating both human expertise and classifications from GP...

We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and
related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their
correspondence with GPT capabilities, incorporating both human expertise and classifications from GPT-4.
Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work
tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their
tasks impacted. The influence spans all wage levels, with higher-income jobs potentially facing greater
exposure. Notably, the impact is not limited to industries with higher recent productivity growth. We
conclude that Generative Pre-trained Transformers exhibit characteristics of general-purpose technologies
(GPTs), suggesting that as these models could have notable economic, social, and policy implications.

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Gokul Rajaram 2mos

Excellent OpenAI + UPenn paper on economic (i.e. jobs) impact of LLMs. Tldr “Our findings indicate that the importance of science and critical thinking skills are strongly negatively associated with exposure, suggesting that occupations requiring these