GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
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Abstract
We investigate the potential implications of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own. Using a new rubric, we assess occupations based on their alignment with LLM capabilities, integrating both human expertise and GPT-4 classifications. Our findings reveal that around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs, while approximately 19% of workers may see at least 50% of their tasks impacted. We do not make predictions about the development or adoption timeline of such LLMs. The…
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Keywords
- Wage
- Workforce
- Rubric
- Timeline
- Labour economics
- Economics
- Development economics
- Economic growth
UN Sustainable Development Goals
- Decent work and economic growth
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