Can artificial intelligence reduce corporate audit risk? Evidence from Chinese listed companies

The rapid diffusion of artificial intelligence (AI) technologies across industries raises fundamental questions about their implications for corporate governance and external monitoring mechanisms. This study investigates whether and how corporate AI investment influences audit risk using a comprehensive dataset of Chinese listed companies spanning 2011–2023. Measuring AI investment through the aggregation of AI-related software and hardware assets relative to total assets, and capturing audit risk via the absolute deviation of audit fees from expected levels, we employ two-way fixed effects panel regression models to examine this relationship. Our baseline results demonstrate that AI investment significantly reduces audit risk, with a one-unit increase in AI investment associated with a 0.672-unit decrease in audit risk deviation. This finding remains robust across multiple specifications, including instrumental variable estimation using lagged AI investment, propensity score matching, Heckman two-stage correction, system GMM estimation, alternative variable measurements, and industry-year fixed effects models. Mechanism analysis reveals that internal control quality serves as a significant transmission channel through which AI investment mitigates audit risk. Furthermore, auditor industry specialization strengthens the risk-reducing effect of AI investment, suggesting complementarity between technological advancement and professional expertise. Heterogeneity analyses indicate that the audit risk reduction effect is more pronounced in state-owned enterprises, non-heavily-polluting industries, and regions participating in digital infrastructure pilot programs. These findings contribute to the growing literature on the governance implications of digital transformation and offer practical insights for corporate technology investment decisions, audit practice development, and regulatory policy formulation in the context of AI-driven economic transformation.

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Publication Details

Journal
International Review of Economics & Finance
Published
2026-04-02
DOI
https://doi.org/10.1016/j.iref.2026.105209
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

Can artificial intelligence reduce corporate audit risk? Evidence from Chinese listed companies

Yan Li
International Review of Economics & Finance
Auditing, Earnings Management, Governance
article

Can artificial intelligence reduce corporate audit risk? Evidence from Chinese listed companies

Yan Li
article en

Abstract

The rapid diffusion of artificial intelligence (AI) technologies across industries raises fundamental questions about their implications for corporate governance and external monitoring mechanisms. This study investigates whether and how corporate AI investment influences audit risk using a comprehensive dataset of Chinese listed companies spanning 2011–2023. Measuring AI investment through the aggregation of AI-related software and hardware assets relative to total assets, and capturing audit risk via the absolute deviation of audit fees from expected levels, we employ two-way fixed effects panel regression models to examine this relationship. Our baseline results demonstrate that AI investment significantly reduces audit risk, with a one-unit increase in AI investment associated with a 0.672-unit decrease in audit risk deviation. This finding remains robust across multiple specifications, including instrumental variable estimation using lagged AI investment, propensity score matching, Heckman two-stage correction, system GMM estimation, alternative variable measurements, and industry-year fixed effects models. Mechanism analysis reveals that internal control quality serves as a significant transmission channel through which AI investment mitigates audit risk. Furthermore, auditor industry specialization strengthens the risk-reducing effect of AI investment, suggesting complementarity between technological advancement and professional expertise. Heterogeneity analyses indicate that the audit risk reduction effect is more pronounced in state-owned enterprises, non-heavily-polluting industries, and regions participating in digital infrastructure pilot programs. These findings contribute to the growing literature on the governance implications of digital transformation and offer practical insights for corporate technology investment decisions, audit practice development, and regulatory policy formulation in the context of AI-driven economic transformation.

International Review of Economics & FinanceVol. 108
Guangdong University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Auditing, Earnings Management, Governance
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