Liu Shijin: AI Large Models Are in the Early Growth Stage, Will Drive Substantial R&D, Investment, Consumption, and Trade Activities

　　On October 23, Liu Shijin, former Deputy Director of the Development Research Center of the State Council, stated at the "FinAI Financial Large Model Frontier Innovation Forum," a special session of the "2025 Bund Summit," that the financial industry, due to its data-intensive and professional talent-intensive nature, has become a pioneer in the application of large models. The emergence of DeepSeek has profoundly impacted the global development landscape of AI models. Large models, represented by Tongyi Qianwen among others, have been deployed on a large scale in multiple banks, insurance, and securities institutions, driving frontier innovation and exploration in China's financial large models.

　　Liu Shijin stated that AI application is transitioning from partial validation to full-process implementation. This shift signifies that AI application has moved beyond mere tool replacement and entered a new stage of deep integration and composite innovation with financial industry processes. "This also brings many challenges, such as how to establish a full-process traceability mechanism covering data input, model training, and decision output to meet regulatory and audit requirements. This series of issues is no longer merely technical problems but requires systematic support in areas like system architecture, data governance, security protection, and operation and maintenance management." Liu Shijin said that if the above issues can be broken through quickly, it would mean the application of AI models in the financial sector is expanding from localized experiments to full-process implementation.

　　Liu Shijin expressed that AI promotes inclusive finance with high efficiency and low cost. The value of AI large models lies in significantly enhancing service capabilities and substantially reducing the cost of professional services, allowing more small and medium-sized enterprises (SMEs) and ordinary households to access high-quality financial services. In the field of inclusive finance, AI large models have already demonstrated strong potential.

　　"We have reason to believe that AI is solving the so-called 'impossible trinity' in the financial sector—the contradictions between security, efficiency, and inclusivity. We can simultaneously improve efficiency and inclusivity while ensuring security. The inclusivity of AI is very important and is thus being recognized and expanded." Liu Shijin said.

　　Furthermore, Liu Shijin stated that AI provides strong growth momentum in an uncertain global economy. As a key hub of the economic system, the financial industry must actively embrace this transformation. "Judging from the laws of industrial development, AI large models themselves and their applications in numerous vertical fields, including finance, are in the early stages of growth. They will drive substantial activities in R&D, investment, consumption, and trade, injecting strong momentum into economic growth. This is particularly important when global economic growth is weak and facing more uncertainties." Liu Shijin said.