This study aims to investigate the influence of clients’ investments in artificial intelligence (CINV_AI) on audit costs within the Chinese context. Furthermore, this study moderates the role of audit quality on the relationship between corporate investments in AI and audit costs.

To test the hypotheses, this study uses an ordinary least squares regression using a final sample of 26,654 firm-year observations spanning the period 2016–2023. To mitigate potential endogeneity concerns, the researchers adopted the instrumental variable technique, specifically the two-stage least squares method.

This paper provides valuable insights for corporate managers, investors and auditors. For managers and investors, it emphasizes that AI implementation constitutes a substantial investment, encompassing considerable direct expenditures on assets and technology, as well as indirect costs such as increasing audit costs. For auditors, it emphasizes that these AI investments necessitate more audit effort and team members with specific IT expertise.

The results provide new evidence contributing to the recent inconclusive literature that investigates the impact of client IT capabilities (AI) on audit costs. To the best of the authors’ knowledge, this is the first study to investigate the moderating role of audit quality in the relationship between corporate AI investment and audit costs.