Research on the Influence of Artificial Intelligence on New Quality Productivity

DOI: https://doi.org/10.62517/jmsd.202512424

Author(s)

Jiatong Han*, Yichen Xue

Affiliation(s)

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

Abstract

It is an important strategy for a country to take the initiative in the world economic competition to set up a modern industrial system based on artificial intelligence technology and aimed at improving total factor productivity. From the perspective of industrial upgrading, this paper analyzes the realistic path of cultivating new quality productivity and constructing modern industrial system under artificial intelligence environment. At the same time, in the process of promoting the technological transition of traditional industries and the increase of total factor productivity, artificial intelligence is also faced with the contradictions of asymmetric technological change and institutional evolution, complex reconstruction and transformation and upgrading of factors, and coexistence of value creation and risk. From the point of view of industrial upgrading, this paper analyzes how to cultivate new high quality productivity in artificial intelligence environment and how to optimize industrial structure and improve productivity. We discuss how to break down the barriers of traditional industries and realize the extension and upgrading of industrial value chain. At the same time, the article also pays attention to the artificial intelligence technology itself facing a series of challenges in the process of promoting the traditional industrial technology transition. These challenges include asymmetry between technological change and institutional evolution, complexity of factor reconstruction and transformation, and coexistence of value creation and risk.

Keywords

Artificial Intelligence; New Quality Productivity; Industrial upgrading; Factors of production

References

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