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The Impact of Artificial Intelligence Applications on Corporate Labor Productivity
- 1 Beijing University of Posts and Telecommunications, Haidian District, Beijing, China
- 2 Beijing University of Posts and Telecommunications, Haidian District, Beijing, China
* Author to whom correspondence should be addressed.
Abstract
In the context of the rapid global development of artificial intelligence (AI), China is also actively advancing the research and application of related technologies. This paper focuses on Chinese A-share listed companies from 2016 to 2023 and explores the impact of corporate AI applications on labor productivity. A model is constructed in which labor productivity is measured by the natural logarithm of revenue per employee. The application indicator is built using the number of AI-related keywords in annual reports, with control variables set accordingly. Empirical results show that AI applications significantly improve labor productivity, with companies that exhibit good growth, strong cash flow, and large scale performing better in terms of productivity. Robustness checks confirm the validity of these conclusions. The study demonstrates that AI holds immense potential in corporate applications, and companies can build industrial ecosystems to promote its widespread use, enhancing labor productivity and contributing to high-quality economic development.
Keywords
artificial intelligence, labor productivity, labor force structure
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Cite this article
Feng,J.;Yuan,C. (2025). The Impact of Artificial Intelligence Applications on Corporate Labor Productivity. Journal of Applied Economics and Policy Studies,17,33-37.
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