Blueprint to Action Chinas Path to AI-Powered Industry Transformation 2025
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The Industrial and Commercial Bank of China
(ICBC) is one of the world’s largest banks. To
enhance its enterprise-wide risk management,
ICBC developed the ICBC Security e-Message
(融安e信), an anti-fraud platform. The platform
embraces digitalization in credit risk management and explores multi-scenario applications of big
data and AI. The platform also integrates more
than 3 billion pieces of internal and external data to
provide intelligent risk control services, supporting
over 300 corporate clients in the financial services
sector in the process.59USE CASE 8
Industrial and Commercial Bank of China – enhancing risk
management with AI-powered eShield anti-fraud platformFinance
When it comes to digital finance, China is a leader
in market size, number of users and net interest
income; $460 billion in 2024, equal to about 31%
of the global total.54 The country also leads in digital
payments, with platforms like Alipay and WeChat
Pay ubiquitous in daily transactions.55
China’s finance industry has established a solid
digital foundation and is at the forefront of AI
transformation efforts. For example, 12 Chinese
financial firms made it into the global top 20 ranking
by the Massachusetts Institute of Technology (MIT) Technology Review for public patent applications
related to AI models.56
Chinese financial institutions are also actively creating
AI ecosystems by collaborating with tech giants,
telecom operators and business clients. The goal is to
aggregate multidimensional data, high-performance
computing power and advanced algorithms to make
their respective firms truly AI-driven.
The table below shows widespread AI applications
in Chinese finance, spanning financial inclusion,
fraud detection, credit risk management and
digital payment.
Application Solutions in China
Financial inclusion –AI expands financial access by using alternative data for credit scoring, enabling banks to lend to individuals
without traditional credit histories.
–Predicts small enterprise cash flow, enabling financial institutions to offer tailored wealth-management services.57
Fraud detection –AI strengthens fraud detection by analysing transaction data and using predictive algorithms to spot
potential risks.
Credit risk
management –Machine learning analyses borrower profiles and credit histories, helping banks make more informed
lending decisions.
Digital payment –A cashless ecosystem permeates daily life, with mobile payment penetration reaching 86% of the population.58
–Facial and voice recognition improve payment security, efficiency and user experience.
–AI enables efficient, automated processing of cross-border transactions.Selected scenarios and solutions in finance TABLE 5
Blueprint to Action: China’s Path to AI-Powered Industry Transformation
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