How AI Large Models Are Revolutionizing China’s Banking and State Enterprises

AI Large Models Reshape Services Across Industries

AI large‑model technology is transforming service delivery and user experience in unprecedented ways. The banking sector, as a data‑intensive industry with inherent financial scenarios, has become a primary arena for large‑model deployment, while central and state‑owned enterprises (SOEs) are increasingly procuring multi‑million‑yuan projects, accelerating the rollout of these models.

Scale of Large‑Model Adoption in China

By the end of 2023, China had more than 200 large models covering finance, industry, media, government, and medicine, with the fastest rollout in general and financial verticals. Notably, the Industrial and Commercial Bank of China (ICBC) built the nation’s first fully autonomous, controllable trillion‑parameter AI model system, signaling that the integration of AI and financial innovation will soon achieve large‑scale deployment.

Banking Use‑Cases

ICBC deepens its trillion‑parameter model construction, creating over 50 application scenarios such as financial markets, credit risk control, and internet finance. The bank integrates AI into business processes to improve efficiency, develop intelligent marketing assistants, and launch systems like “制度通” (credit policy service) and “文书通” (automated report generation). China Construction Bank (CCB) empowers 79 internal business scenarios across corporate finance, personal finance, asset management, risk management, technology channels, and comprehensive management, enhancing document generation speed from hours to minutes. Agricultural Bank of China accelerates AI‑driven smart banking, steadily tracking large‑model trends and promoting AI‑plus applications. Postal Savings Bank leverages AI, large models, and cloud computing to build a data‑intelligent analysis system, offering deep industry analysis, precise institutional profiling, and forward‑looking data services. Other Banks such as Industrial Bank, Bank of Communications, and Minsheng Bank report internal AI applications ranging from anti‑money‑laundering analysis, multi‑modal document assistants, to code generation tools that achieve 20‑30% adoption rates.

Current Focus on Internal Applications

Most large‑model deployments in banks are internal, enhancing operational efficiency, customer service, and risk management. The article predicts that as the technology matures, external customer‑facing services and product innovation will expand, driving comprehensive digital transformation in the banking industry.

State‑Owned Enterprises Accelerate Large‑Model Rollout

Thirty central SOEs have published large‑model inventories, covering professional and generic scenarios. Highlights include:

CNOOC : Five professional models for offshore oil production, safety drilling, marine manufacturing, equipment maintenance, and LNG trade; six generic models for procurement, employee health, and office assistance.

Power Grid : A 10‑billion‑parameter visual model for distribution network inspection, improving detection efficiency by 10%.

China Nuclear : “龙吟·万界” platform integrating large‑model agents for nuclear industry digital assistants.

State Energy Group : Energy‑channel model supporting coal, power, rail, port, shipping, and chemical operations with intelligent query, balancing, warning, and analysis capabilities.

China Coal Energy : “地知” model combining domestic open‑source models, multi‑energy sub‑models, and knowledge graphs for intelligent Q&A and data search.

China Petroleum : 33‑billion‑parameter “Kunlun” model and multiple specialized models for seismic interpretation, logging, and intelligent customer marketing.

Other Enterprises : Models for smart agriculture (Beidahuang), mining safety (Solar Stone), and aviation (Qianrang) illustrate cross‑industry adoption.

Key Takeaways

The rapid proliferation of AI large models in both banking and central SOEs underscores a strong internal push for efficiency and risk mitigation, while setting the stage for broader external applications that will reshape China’s digital economy.