China Pacific Insurance's Yu Bin: Actively deploying artificial intelligence, continuously increasing investment in recent years

Ask AI · How can partnering with tech giants strengthen China Taiping’s competitive moat?

Beijing Business Today, March 27 (Reporter Hu Yongxin) On March 27, China Taiping held its 2025 annual performance briefing.

Yu Bin, Vice President of China Taiping, said the company is actively laying out artificial intelligence and, over the past few years, has continued to increase its investment in AI. According to its future planning targets, the AI investment budget for the next two years will have a compound annual growth rate (CAGR) of no less than 40%. As things stand, the company has already initially built enterprise-level AI infrastructure, and has also introduced 50 foundational large language models, including DeepSeek, Tongyi Qianwen, and others.

In 2025, the number of calls to its large models reached 270 million times, and its compute utilization rate has reached an industry-leading level. In 2025 as well, the company has built a batch of AI benchmark applications. In total, 129 scenario applications have been rolled out, basically covering 13 core insurance business scenarios and serving 18k back-office staff and 150k marketing agents. Among the more representative applications are health insurance claims processing, life insurance’s “gold medal coach,” and risk control for anti-fraud, among others.

For future planning, the company has also developed a “633” strategic blueprint. First, it focuses on six core areas to accelerate the rollout and achieve results from scenario applications. This includes strengthening the enablement of the marketing team and supporting a comprehensive leap in team capability levels.

By building AI hard-core capabilities through joint innovation and collaboration, the company will construct a competitive moat. The company will engage in in-depth cooperation with leading technology companies including Huawei, Alibaba, Baidu, Tencent, and iFlytek.

By leveraging its own strengths and starting from value-oriented scenarios, the company will build an insurance core knowledge base, train hard-core capabilities, and establish a moat for competing in the industry.