The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China
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Abstract (arXiv)
As a phenomenal large language model, 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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 3 of its 5 references that are in the map. First posted on arXiv 14 Apr 2023.
Builds on
3 of 5 references.
References · 3
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Citing papers per year: 2023: 3.
3 papers.
- 2023"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Marketscited by 7
- 2023The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Modelscited by 5
- 2023ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectationscited by 1
- 2023The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Models15 Aug 2023
- 2023"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets9 Aug 2023
- 2023ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectations15 May 2023