Ping An Bank has become the first listed bank in mainland China to officially adopt regulations managing the use of AI, setting a precedent that analysts predict other banks will follow.
The bank’s board of directors assigned the strategy committee to oversee AI-related issues, with control mechanisms across “every stage of development and use.”
The governance framework includes data security, algorithmic risks, ethical evaluations, and responsibility tracking. The bank also classifies AI risks by level and integrates them into its overall risk management system.
The move implements guidelines issued by China’s National Financial Regulatory Administration in June, which require banks and insurance companies to take responsibility for the AI systems they use.
The scale of application is already substantial. By the end of June, Ping An Bank had deployed over 450 large AI model use cases in marketing, investment consulting, compliance, and risk control.
All 42 A-share listed banks in China mentioned AI in their mid-2026 reports, indicating that AI governance is becoming a common industry-wide issue rather than just a concern for pioneering banks.
Analysts believe that AI in finance must go hand in hand with governance because errors not only affect businesses but also directly relate to customer protection and financial stability.
Hong Kong is also expanding governance toward supervised experimentation. The generative AI sandbox for banks launched in 2024 was expanded to securities, insurance, and pensions in March 2026.
📌 Conclusion: A notable point is that AI governance in Chinese banks is shifting from a technical issue to a corporate governance responsibility. With over 450 AI use cases at Ping An Bank alone and all 42 A-share listed banks mentioning AI, the emerging model involves integrating AI into existing risk management systems, classifying risks by level, enforcing end-to-end lifecycle control, and placing supervisory responsibility at the board of directors level.
