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arXiv · 2304.09823

The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China

Lan Chen·Xi Chen·Shiyu Wu·Yaqi Yang·Meng Chang·Hengshu Zhu
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Abstract

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.

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Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, Hengshu Zhu. 2023-04-14. The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China. https://arxiv.org/abs/2304.09823

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