Commercial banks face a more challenging transition to artificial intelligence than central banks, according to Liu Jun, president of Industrial and Commercial Bank of China. Speaking at the Shanghai Bund Summit, Liu stated that commercial lenders bear direct financial and legal liability when deploying AI at scale, unlike central banks which focus on oversight and policy.

The remarks highlight the significant financial and legal risks commercial banks face in adopting AI, distinguishing their operational challenges from the regulatory role of central banks. This has implications for the pace and nature of AI adoption in the financial sector.
Commercial banks are facing a more difficult adjustment to artificial intelligence than central banks, according to Liu Jun, president of Industrial and Commercial Bank of China (ICBC). Speaking at the Shanghai Bund Summit on Monday, Liu stated that while central bankers focus on oversight and policy, commercial lenders carry direct financial and legal exposure when deploying AI at scale. He explained that ICBC's application of AI tools across business lines means the bank bears responsibility for the outcomes, including compensating affected parties and responding to the market if issues arise. ICBC, the world's largest lender by assets, is actively transforming its operations by upgrading its strategy to AI-ICBC, emphasizing computing power, algorithms, data, and security. The bank has deployed AI applications in over 500 scenarios, including an intelligent pricing assistant that boosted transaction automation to 96% and increased transaction volume by 50% year-on-year. ICBC plans further AI integration as part of its 15th Five-Year Plan (2026-30).
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