Research on the Impact of Artificial Intelligence on Corporate Governance—A Case Study of Agency Costs
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Research on the Impact of Artificial Intelligence on Corporate Governance—A Case Study of Agency Costs

Xinyun Ye 1*
1 University of Macau
*Corresponding author: xinyunye5@gmail.com
Published on 11 November 2025
Journal Cover
AEMPS Vol.239
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-525-7
ISBN (Online): 978-1-80590-526-4
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Abstract

This paper looks at how investing in artificial intelligence (AI) affects company agency costs. Using data from non-financial firms listed in Shanghai and Shenzhen A-shares in China between 2012 and 2024, it carries out a real-world study with a fixed-effects model. The results show that corporate AI investment significantly increases both Type I and Type II agency costs, specifically the management expense ratio between shareholders and management, and the proportion of other receivables between major stockholders and minority stockholders. This worsens the conflicts of interest between company owners and managers, and also between large owners and small owners. Based on these conclusions, this paper proposes that a corporate governance system adapted to AI investment should be improved, and enterprises should focus on enhancing investment efficiency and building transparency to ensure that AI investment truly serves sustainable development and long-term value enhancement of enterprises.

Keywords:

Artificial Intelligence, Corporate Governance, Agency Costs

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Ye,X. (2025). Research on the Impact of Artificial Intelligence on Corporate Governance—A Case Study of Agency Costs. Advances in Economics, Management and Political Sciences,239,8-15.

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Cite this article

Ye,X. (2025). Research on the Impact of Artificial Intelligence on Corporate Governance—A Case Study of Agency Costs. Advances in Economics, Management and Political Sciences,239,8-15.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICFTBA 2025 Symposium: Data-Driven Decision Making in Business and Economics

ISBN: 978-1-80590-525-7(Print) / 978-1-80590-526-4(Online)
Editor: Lukášak Varti
Conference date: 12 December 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.239
ISSN: 2754-1169(Print) / 2754-1177(Online)