The Role of Artificial Intelligence in China’s Manufacturing Industry: Reality and Prospects

Authors

  • Kexin Na

DOI:

https://doi.org/10.54097/p62r3m68

Keywords:

Artificial intelligence, Manufacturing, Industrial upgrading, Industrial transformation, labor market.

Abstract

The convergence of artificial intelligence with China's manufacturing sector marks the dawn of a new digital era with profound implications for productivity, innovation, and global trade. The emergence of artificial intelligence is redefining how factories operate in China, bringing unparalleled efficiency and agility. Powered by AI, the promise of smart manufacturing is more than just an incremental advance; It represents a fundamental shift in manufacturing towards intelligent, connected and autonomous systems. In the current situation, AI has begun to be deployed in many manufacturing areas in China, focusing on process optimization, supply chain management, product development and after-sales service. Factories are becoming smarter, using big data analytics and machine learning algorithms to improve decision-making and operational efficiency across all aspects. At the same time, such rapid development will raise questions about the collapse of the low-skilled labor market and information safety. This essay also puts forward some solutions in turn.

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References

Wang, F. (2023). Research on the application of artificial intelligence technology to promote the high-quality development path of manufacturing industry. In SHS Web of Conferences (Vol. 154, p. 03001). EDP Sciences.

Tao, H. (2023). Application design of artificial intelligence in the manufacturing industry. Value Engineering, (28), 160-162.

Wu, Q. (2023). On the strategic framework of artificial intelligence marketing market analysis. Chinese Market, (03), 106-108.

Zhao, X. (2022). Analysis of manufacturing supply chain management based on blockchain technology. China New Communications, (19), 38-40.

Volkmar, G., Fischer, P. M., & Reinecke, S. (2022). Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management. Journal of business research, 149, 599-614.

Miao, C. (2023). Artificial intelligence and the servitization of manufacturing. Research on Economics and Management, (07), 22-39.

Li, P., & Shi, L. (2023). Has artificial intelligence promoted the advancement of the employment structure in manufacturing? —An analysis based on the mediating effect of industrial structure upgrading. Journal of Chongqing Three Gorges University, (01), 72-86.

(2024). Unprecedented Growth in Conversational AI Market Revolutionizes Business-Customer Interactions. M2.

Du, Y., He, Y., Jin, Z., & Tian, M. (2024). Artificial intelligence and enterprise customer stability — Based on evidence from the application of industrial robots in China. Economic Issues, (02), 48-56.

Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2020). Big data analytics for manufacturing internet of things: Opportunities, challenges and enabling technologies. Enterprise Information Systems,14 (9–10), 1279–1303.

Zheng, S., Tao, R., & Yang, W. (2024). The impact of generative artificial intelligence technologies such as ChatGPT on industrial transformation and upgrading. Industrial Economics Review, (01), 5-20.

Wang, Y. (2020). Research on the path to enhance the green international competitiveness of China's manufacturing industry from the perspective of resources and environment. Economic Science Press.

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Published

08-08-2024