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Commentary: How AI Could Revolutionize China’s Financial Sector

Published: Aug. 8, 2025  11:38 a.m.  GMT+8
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Photo: AI generated
Photo: AI generated

China’s capabilities in artificial intelligence are globally competitive. Empowering the high-quality development of the financial industry requires innovation, openness, green development, coordination, and sharing. We must focus our efforts precisely on these points.

The development of “AI+Finance” is relatively advanced. I have conducted research on large banks, internet banks, and trading infrastructure. Before 2023, traditional AI algorithms were mainly used for tasks like customer service and data analysis. Now, they are being applied more within generative AI inference models. Looking ahead, a series of favorable conditions will support the development of “AI+Finance.”

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Explore the story in 30 seconds
  • China’s “AI+Finance” sector is globally advanced, supported by rapid economic growth, open regulatory attitudes, and significant innovation in digital finance.
  • Venture capital is increasingly driven by corporate (55–73% of AI unicorns with CVC) and government funds (over 2,000 GVCs totaling 1.5 trillion yuan), boosting financial innovation.
  • AI enables personalized, inclusive consumer finance, but increased innovation necessitates risk control to prevent systemic and operational vulnerabilities.
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Explore the story in 3 minutes

China's global competitiveness in artificial intelligence (AI) is fueling the high-quality development of its financial sector. Achieving such development requires a focus on innovation, openness, green growth, coordination, and sharing. China's financial industry, particularly the integration of AI with finance, has progressed swiftly, transitioning from traditional AI applications like customer service and data analysis before 2023 to the adoption of advanced generative AI models. A supportive environment comprising robust economic growth, government prioritization, proactive state-owned institutions, and consumer openness to data sharing has underpinned the rapid advancement of digital finance. With relatively underdeveloped legacy financial systems, China's digital financial services face minimal resistance, resulting in high market penetration. Regulators’ periodic support has further created a favorable environment for digital innovation. [para. 1][para. 2][para. 3][para. 4][para. 5][para. 6][para. 7][para. 8]

Industrial innovation in China now matches or even exceeds that in the financial sector, fostering new sources of funding beyond traditional bank loans. Corporate Venture Capital (CVC) has become more prominent, especially in AI and cutting-edge fields: 55-73% of AI unicorns globally have received CVC investment, compared to around one-third in traditional sectors. Strategic, long-term investments from major Chinese corporations such as Meituan, Alibaba, Tencent, and CATL illustrate this trend, reducing dependence on short-term returns or capital market fluctuations. Government Venture Capital (GVC) has also expanded, with over 2,000 government-guided funds and state-backed funds exceeding 1.5 trillion yuan (about $208.3 billion). State-owned capital constitutes more than 75% of the funding, facilitating riskier and earlier-stage technology investments, including policies that tolerate 100% loss on single high-tech projects. Overseas investors are increasingly engaged, with Chinese technology firms raising $44.8 billion in overseas markets in 2024, more than double the previous year's figure, reflecting China's rising global technology influence. [para. 9][para. 10][para. 11][para. 12][para. 13]

These diverse funding routes offer domestic tech companies choices but challenge China’s own venture capital and financial markets to maintain competitive appeal. Major banks are establishing new investment funds but face challenges in identifying promising tech innovators. Applying AI, especially large-scale models, can enhance the banks’ capacity to forecast technologies, assess commercial prospects, and analyze competitive landscapes. [para. 14]

Shanghai stands at the forefront of financial openness. Initiatives like “Bond Connect,” which links China’s bond market with Hong Kong’s international trading platforms, have significantly increased foreign investor participation—from 28.8% of new entrants in 2017 to 50.7% by 2023—by making market entry technically and institutionally easier for overseas investors. [para. 15]

AI-driven consumer finance, powered by big data and automation, enables personalized services and risk controls, expanding access to underserved populations. For example, Mashang Consumer Finance issues micro-loans with high efficiency and accuracy, processing over 10 million transactions daily, and relying on automated decision-making 90% of the time. This inclusive approach lowers thresholds for loans and enables support for small businesses and ordinary consumers. [para. 16][para. 17]

The rapid development of fintech brings inherent risks—such as strategy homogeneity, correlated trading, and amplified herd behavior via digital networks—which can destabilize financial markets. Balancing innovation with effective risk prevention remains a perpetual global challenge; responsible scrutiny and risk transfer mechanisms are essential to avoid harmful or reckless financial innovations. [para. 18]

Overall, China’s “AI+Finance” sector is internationally advanced. Continued progress depends on AI’s ability to enhance insight, foresight, inclusion, and system-wide coordination, ensuring that finance can support China’s innovative, green, open, and inclusive development goals.[para. 19][para. 20][para. 21]

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Who’s Who
Huawei’s Habo Technology Venture Capital Co., Ltd.
Huawei's Habo Technology Venture Capital Co., Ltd. is described as an example of Corporate Venture Capital (CVC). CVCs are independent investment departments within companies that have significantly increased their share in startup financing, especially in cutting-edge fields like AI.
Meituan
Meituan, a major Chinese internet company, is involved in Corporate Venture Capital (CVC). It makes strategic and synergistic investments, aiming to build defensive moats within its industrial chain. These long-term investments are less dependent on the capital market environment.
Alibaba
Alibaba is mentioned as one of the major internet companies in China that has engaged in Corporate Venture Capital (CVC) investments. These investments are not solely financial but are also strategic, aiming for synergy with their industrial chains and building defensive moats. The article highlights that these types of investors may be more inclined to long-term holdings rather than quick exits.
Tencent
Tencent, a major Chinese internet company, is involved in Corporate Venture Capital (CVC) investments. These investments are not solely financial but also strategic, aiming to create synergy within their industrial chains and establish protective "moats." They are more inclined towards long-term holdings rather than quick exits, making them less reliant on the capital market environment.
CATL
CATL is mentioned as one of the new energy vehicle companies, alongside Sunwoda, that are investing in embodied intelligence through Corporate Venture Capital (CVC). These investments are strategic, aiming for synergy within their industrial chains and building defensive moats, suggesting they are willing to hold long-term investments.
Sunwoda
Sunwoda is a Chinese company that has invested in embodied intelligence, a field related to AI. It is an example of a new energy vehicle company that engages in Corporate Venture Capital (CVC) investments, aiming for strategic alignment with its industrial chains.
Mashang Consumer Finance Co., Ltd.
Mashang Consumer Finance Co., Ltd. is a Chinese consumer finance company excelling in digital intelligence. They issue loans as small as 200 yuan, with an average of over 2,000 yuan per customer, and process over 10 million daily transactions. They boast 99.99% identity verification accuracy and utilize over 100,000 risk variables, with 90% of customer service handled automatically by machines.
AI generated, for reference only
What Happened When
Before 2023:
Traditional AI algorithms in finance were mainly used for customer service and data analysis.
2017:
Bond Connect was launched; in the year of launch, 28.8% of new overseas entrants to China's interbank bond market used the program.
2023:
Financing raised from China’s overseas issuances was $19.5 billion.
By the end of 2023:
Proportion of overseas institutions entering China’s interbank bond market via Bond Connect reached 50.7%.
2024:
A city in China released a plan allowing state-owned LPs to accept higher risks (including 100% loss) in hard-tech fields.
2024:
Financing from China’s overseas issuances reached $44.8 billion, more than double the previous year.
2024:
Research conducted on Mashang Consumer Finance Co., Ltd., noting their ability to issue small loans with high digital intelligence and automation.
2025:
Generative AI inference models are being more widely applied in finance, and low-cost, high-performance open-source models are being adopted.
AI generated, for reference only
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