The Impact of Artificial Intelligence on New Quality Productivity: A Perspective Based on Innovation

DOI: https://doi.org/10.62517/jmsd.202512423

Author(s)

Shengyu Tian*, Weijie Zhao

Affiliation(s)

School of Accounting, Harbin Finance University, Harbin, China *Corresponding Author

Abstract

Artificial intelligence is an important driving force for the development of human society. It is no longer simply a substitute for human tools, but a multi-level, multi-level method of improving productivity. Under this background, artificial intelligence technology, which is mainly composed of labor, labor and labor object, is fundamentally reconstructing industrial innovation ecology. From the point of view of innovation, this paper analyzes the cultivation of new productivity under the background of artificial intelligence and the realistic ways of establishing modern industrial system. On this basis, we believe that artificial intelligence technology can promote the improvement of the speed and process of product innovation with its internal innovation as the driving force. This kind of innovation linkage can not only stimulate the internal vitality of enterprises, but also promote the cooperation among industries, forming a strong overall competitiveness. This is essential to drive a shift in productivity from quantitative to qualitative change, helping us build a more efficient, flexible, and inclusive modern industrial system.

Keywords

Artificial Intelligence; New Qualitative Productivity; Modern Industrial System; Technological Innovation

References

[1]Bao Qun, Shi Shaobing, Sheng Mingquan. Customer productivity spillover effects from the perspective of embedded supply chains. Economic theory and economic management, 2023 (4): 102-112 [2]Chen Menggen, Zhang Ke. New Quality Productivity and Construction of Modern Industrial System Reform, 2024 (6): 58-69 [3]Li Bin, Yang Ran, Lu Juan, Jia Zhen. Enterprise Digital Transformation, Supply Chain Spillover, and Workforce Skills Bias. Quantitative Economics, Technical Economics, 2024 (8): 133-153. [4]Liang Haoguang, Huang Wei. Technological innovation drives new quality productivity and its global effects. Finance and trade economy, 2024 (8): 22-32 [5]Lin Xiaoyue, Wu Chong. Pathways and Mechanisms of Artificial Intelligence for the Emergence of New Quality Productivity. Technical Economics, 2024 (10): 1-13 [6]Liu Wei. Scientific understanding and practical development of new qualitative productivity. Economic research, 2024 (3): 4-11 [7]Ren Baoping, Wang Xin. Framework and path for deep integration of artificial intelligence and the real economy into new qualitative productivity. Social sciences, 2024 (7): 120-127 [8]Sun Zao, Chen Yujie. Robotic Roles, Production Segmentation and Mode of Production Transformation. Industrial Economy of China, 2023 (4): 5-23 [9]Zhou, Xu Lingyun. On New Qualitative Productivity: Connotative Features and Important Points Reform, 2023 (10): 1-13. [10]Shi Jianxun, Xu Ling. Research on the Significant Strategic Significance and Implementation Path of Accelerating the Formation of New Quality Productivity. Research on Financial Issues, 2024 (1): 3- [11]Song Jia, Zhang Jinchang, Pan Yi. Research on the Impact of ESG Development on New Quality Productivity of Enterprises: Empirical Evidence from A-share Listed Enterprises in China. Contemporary Economic Management, 2024 (46): 1-13.