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The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China (2304.09823v4)

Published 14 Apr 2023 in cs.CY and cs.AI

Abstract: As a phenomenal LLM, ChatGPT has achieved unparalleled success in various real-world tasks and increasingly plays an important role in our daily lives and work. However, extensive concerns are also raised about the potential ethical issues, especially about whether ChatGPT-like artificial general intelligence (AGI) will replace human jobs. To this end, in this paper, we introduce a preliminary data-driven study on the future of ChatGPT-enabled labor market from the view of Human-AI Symbiosis instead of Human-AI Confrontation. To be specific, we first conduct an in-depth analysis of large-scale job posting data in BOSS Zhipin, the largest online recruitment platform in China. The results indicate that about 28% of occupations in the current labor market require ChatGPT-related skills. Furthermore, based on a large-scale occupation-centered knowledge graph, we develop a semantic information enhanced collaborative filtering algorithm to predict the future occupation-skill relations in the labor market. As a result, we find that additional 45% occupations in the future will require ChatGPT-related skills. In particular, industries related to technology, products, and operations are expected to have higher proficiency requirements for ChatGPT-related skills, while the manufacturing, services, education, and health science related industries will have lower requirements for ChatGPT-related skills.

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Authors (6)
  1. Lan Chen (77 papers)
  2. Xi Chen (1036 papers)
  3. Shiyu Wu (7 papers)
  4. Yaqi Yang (1 paper)
  5. Meng Chang (6 papers)
  6. Hengshu Zhu (66 papers)
Citations (14)

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