{
  "id": 9340,
  "url": "https://doi.org/10.48550/arxiv.2303.10130",
  "title": "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models",
  "summary": "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 wo",
  "authors": "Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel L. Rock",
  "category": "research",
  "topics": "safety-alignment,jobs-economy,finance-investment",
  "orgs": "openai",
  "regions": null,
  "published_at": "2023-03-17T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:54.150Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9340",
  "original_url": "https://doi.org/10.48550/arxiv.2303.10130",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}