The People’s Bank of China (PBOC) has urged banks to integrate artificial intelligence into financial services while ensuring strict data security, emphasizing large-scale machine learning models.
According to local reports, the central bank outlined its 2025 financial technology agenda at the PBOC’s annual Technology Work Conference on March 17. It emphasized the need to enhance cybersecurity, strengthen regulatory oversight, and reinforce financial technology infrastructure.
The PBOC also cited plans to boost IT capabilities to enhance regulatory functions while implementing advanced automation in financial processes within a controlled framework.
Officials from the central bank emphasized that artificial intelligence could strengthen security, optimize operations, and drive innovation in digital finance. Alongside these efforts, the PBOC aims to reinforce financial data protection measures and promote greater cooperation in developing technology standards.
The development follows the publication of the Action Plan for Promoting High-Quality Development of Digital Finance in November 2024. The plan seeks to align the financial system with China’s broader objectives for the digital economy by 2027.
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Furthermore, several state-owned banks have already introduced high-level strategies to integrate artificial intelligence into their operations. The Agricultural Bank of China, for instance, unveiled its “Artificial Intelligence + Innovation Implementation Outline” in 2024, outlining a phased approach to AI adoption.
According to the plan, the bank aims to gradually implement AI technology by the end of 2025, mid-2027, and late 2029, ultimately establishing a structured AI framework and application model while achieving reliable AI-driven capabilities.
Following DeepSeek’s rapid rise in popularity earlier this year, over 20 banks have integrated artificial intelligence by adopting and implementing DeepSeek’s large-scale models.
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The debut of DeepSeek sent shockwaves through the U.S. stock market, prompting a wave of selloffs as investors reacted to the AI-driven technology’s rapid rise. Market analysts pointed to concerns over the disruptive potential of advanced artificial intelligence in the financial sector, which led to volatility across major indexes.
The selloff particularly impacted tech and financial stocks, as companies reassessed the competitive landscape amid the growing adoption of AI in banking and investments.
