Lujiazui Financial Salon: Innovation and Xinchuang Practices in Financial Infrastructure in the AI Era

Currently, artificial intelligence large models and intelligent computing power are reshaping the development logic of financial infrastructure. Banks, securities firms, fund companies and other financial institutions are accelerating from traditional process digitalization toward data intelligence, computing power collaboration, and real-time decision-making. The high-level opening-up of the financial industry and technological self-reliance are advancing in parallel; it is necessary both to align with global market rules and to build a secure and controllable foundation for financial IT innovation, achieving safe and compliant coordinated development of computing power, data, large models and business systems. So, in advancing key issues such as intelligent capital operations, multi-asset data foundations, digital connectivity of global exchanges, and the construction of domestic computing power and core financial systems, how can we explore innovative paths for financial infrastructure in the AI era?

This session of the Lujiazui Financial Salon, themed "Innovation and Financial IT Innovation Practices of Financial Infrastructure in the AI Era," invited several prominent guests for in-depth discussion. The television program of this salon aired on October 31, 2026 at 21:00 on the First Financial Channel.

Qian Xin, President of the Capital Operations Center of Ping An Bank, said in his speech that trading institutions must be able to provide quoting, execution and risk management capabilities that match the continuously growing scale of capital, and that the first step is to change the production method of trading. At present, AI applications in the financial industry are gradually moving from personal assistants to shared service channels, and valuable tools and applications are progressively entering the production system to serve a broader range of users. He also said that in the AI era, the value of traders and investment managers is reflected in identifying changes in market structure and rules, and in making judgments and bearing risk and responsibility when information is incomplete and the information-to-noise ratio is very low.

Zhou Xiaohua, founder and CEO of DolphinDB, drawing on his own institution's practice, believes that financial IT innovation practice should not be merely a mechanical replication of old systems, but should become a new opportunity to reconstruct financial infrastructure and enhance independent innovation capability. AI will not replace financial infrastructure, but it will change the way financial infrastructure is used and the way financial applications are built. When AI enters the financial production environment, data permissions, tool invocation, and tracking and auditing of the execution process must all be effectively managed.

Bao Huanchen, Deputy General Manager of the Operations Support Department of the Shanghai Headquarters of China Central Depository & Clearing Co., Ltd., said that the accelerated development of new technologies such as artificial intelligence and blockchain provides more possibilities for digital intelligence and business management innovation. Artificial intelligence performs excellently in data processing, pattern recognition and autonomous learning; exploring the evolution of AI applications from single scenarios to multiple scenarios and connecting the entire bond issuance management process can further improve work efficiency and reduce operational risk.

Chen Fang, Managing Director of North Asia Pacific and President of China for London Stock Exchange Group, believes that for the financial industry, the first keyword in the AI era is not "intelligence" but "trust." Financial infrastructure is in the process of moving from "data infrastructure" to "intelligent infrastructure." Without trusted data, there is no trusted AI; trusted data is the foundation of trusted AI. She also said that AI is changing the way data is used and is creating new application space for high-quality data, professional analysis and trusted financial content. AI does not simply replace decision-makers, but is a decision-making assistant built on trusted data, professional tools and effective governance.

Zhang Junwei, Deputy General Manager of Intelligent Computing Products at Hygon Information, said that with the development of large models and agent technology, AI is gradually moving from the past competition over model capabilities into a new stage with Token as the core factor of production. Traditional AI infrastructure applications are relatively isolated from systems; now AI infrastructure needs large models to comprehensively enhance AI comprehension and productivity. In the future, competition in financial AI will require not just model capabilities, but a complete AI computing infrastructure.

The "Lujiazui Financial Salon" is guided by the Shanghai Municipal Financial Office and the Pudong New Area People's Government, hosted by the Secretariat of the "Lujiazui Financial Salon," with media support from First Financial and Cailian Press. The series of activities will continue to output "Pudong wisdom" for financial reform, deeply empower the high-quality development of the Pudong economy, and fully promote the construction of the core area of Shanghai International Financial Center to a new height.

For details of this salon, please watch the television program "Innovation and Financial IT Innovation Practices of Financial Infrastructure in the AI Era" broadcast on the First Financial Channel on October 31 at 21:00 and November 1 at 13:20.