Enterprise AI Analysis
Research on the Impact of Artificial Intelligence on Managerial Myopia: Based on Python Text Analysis and Machine Learning
Authored by TIANYI FENG, Sichuan University, Chengdu, Sichuan, China. Published in 2026.
Executive Summary: AI's Strategic Impact on Corporate Governance
This research explores how Artificial Intelligence transforms corporate governance by mitigating managerial myopia, an issue stemming from information asymmetry. Leveraging Python text analysis and machine learning on Chinese A-share listed companies, it demonstrates AI's role in balancing short-term objectives with long-term value creation.
As AI increasingly becomes a strategic technological resource, it demonstrates significant potential for improving corporate governance. To investigate the influence mechanism of AI on managerial myopia, we ground our analysis in agency theory and utilize Python-driven textual analysis and machine learning approaches to construct relevant indicators, drawing on a sample of Chinese A-share listed companies from 2014 to 2023. Furthermore, we use a mediation effect model to examine the transmitting role of information asymmetry in this relationship. The findings reveal that Al effectively curbs managerial myopic behavior, and this effect is mediated by information asymmetry.
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Deep Analysis & Enterprise Applications
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AI significantly alleviates managerial myopia, with a coefficient of -0.002 on AI, statistically significant at the 1% level. This finding supports the hypothesis that AI curbs short-sighted managerial behavior.
0.002
Reduction in Managerial Myopia due to AI
The study found that AI effectively reduces information asymmetry (coefficient -0.006, p<0.05), which in turn mediates the relationship between AI and managerial myopia. Information asymmetry plays a partial mediating role.
Enterprise Process Flow
AI Application
→
Reduces Information Asymmetry
→
Alleviates Managerial Myopia
Multiple robustness checks, including lagged independent variables, exclusion of the COVID-19 period, alternative variable measurements, and refined model specifications, consistently confirm the study's main findings. This enhances the reliability and validity of the conclusions regarding AI's impact on managerial myopia.
| Check Type | Key Finding | Implication |
|---|---|---|
| Lagged Variables | Contemporaneous AI effect: -0.002; Lagged AI effect: -0.001 | Consistent negative impact of AI on myopia, confirming robustness. |
| COVID-19 Exclusion | Models remain statistically significant with consistent coefficient signs after excluding 2020-2022 data. | Causal mechanism robustness confirmed against exogenous shocks. |
| Variable Measurement | Alternative AI measure yields statistically significant and consistent results. | Main conclusions valid under alternative measurement approaches. |
| Model Specification | Adding industry fixed effects maintains statistical significance and consistency. | Main conclusions valid under more rigorous model specifications. |
The empirical study, using a sample of Chinese A-share listed companies from 2014 to 2023, utilized Python-based textual analysis and machine learning to construct key indicators. It revealed that AI's impact on managerial myopia is mediated by a reduction in information asymmetry, highlighting a practical application of AI in corporate governance.
AI in Chinese A-share Companies (2014-2023)
Sample: Chinese A-share listed companies from 2014 to 2023.
Methodology: Python-based textual analysis and machine learning for AI and myopia metrics.
Mediating Factor: Information asymmetry, measured using liquidity-based metrics (LR, ILL, GAM).
Outcome: AI application is gradually increasing, leading to a reduction in managerial myopia through its effect on information asymmetry. Firms adopting AI demonstrate improved long-term strategic planning and better balance between short-term objectives and long-term value creation.
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