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Discussing the Reshaping of Employment Structure by Artificial Intelligence: Opportunities and Challenges

Author(s)

Ting Chen, Yanbin Bu, Yandan Xue

Affiliation(s)

School of Media Technology, Communication University of China Nanjing, Nanjing, China

Abstract

This paper first introduces the development trend of AI, including more powerful and universal models, deep integration with various fields, the rise of reinforcement learning, integration with edge computing, the importance of AI ethics, the development of embodied robots, and the popularization of AI applications. At the same time, the importance of changes in employment structure was emphasized, such as optimizing human resource allocation, promoting industrial upgrading and transformation, enhancing the quality and skills of workers, promoting economic structural adjustment, and narrowing regional development gaps. Then, the opportunities brought by artificial intelligence were analyzed, such as the emergence of new professions related to data and algorithms and models, as well as the demand for digital skill enhancement and cross-domain skill integration. Then, the challenges brought by artificial intelligence were discussed, such as job substitution (repetitive and regular job positions) and employment polarization (the potential impact of the growth in demand for high skilled talent and the dilemma and polarization of low skilled workers). Finally, strategies to address the challenges were proposed, covering education and training reform (curriculum system adjustment, vocational training strengthening, and enhancing employment competitiveness) and policy guidance and protection (employment policy adjustment, social security improvement).

Keywords

Artificial Intelligence, Employment Structure, Development Trends, Opportunities and Challenges, Response Strategies

References

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