According to the CITIC Securities Research Report, securities AI applications are shifting from simple questions and answers in the early stages to systematically reducing the costs of information processing, research and comparison, combined diagnosis, and post-investment tracking, and promoting the evolution of securities platforms from market display and transaction execution portals to investment task execution and asset management platforms. The short-term industry is still in the product verification and scenario penetration stage, and medium- to long-term competition will shift from “can access the model” to “can stably complete investment tasks, embed high-frequency workflows, and form a closed commercial loop”. With the gradual infrastructure of the underlying model, industry barriers will come more from complex capabilities such as professional financial data, commercialization of investment and research processes, high-frequency user entry, account assets, product supply, and compliance management. Industrial value is expected to be concentrated along the three paths of “investment and research task entry - closed loop wealth management - institutional infrastructure”. In terms of investment strategy, it can be arranged around the three main lines of decision entry, closed loop of assets, and institutional infrastructure. Priority is given to financial information platforms with high-frequency investment task entrances and the ability to arrange professional financial data and tools; focus on closed-loop wealth management platforms that can connect AI judgments to securities accounts and customer assets; and finally, it is recommended to focus on financial IT companies and brokerage firms with leading digital and wealth management capabilities that benefit from IT construction needs related to the financial industry.

According to the CITIC Securities Research Report, securities AI applications are shifting from simple questions and answers in the early stages to systematically reducing the costs of information processing, research and comparison, combined diagnosis, and post-investment tracking, and promoting the evolution of securities platforms from market display and transaction execution portals to investment task execution and asset management platforms. The short-term industry is still in the product verification and scenario penetration stage, and medium- to long-term competition will shift from “can access the model” to “can stably complete investment tasks, embed high-frequency workflows, and form a closed commercial loop”. With the gradual infrastructure of the underlying model, industry barriers will come more from complex capabilities such as professional financial data, commercialization of investment and research processes, high-frequency user entry, account assets, product supply, and compliance management. Industrial value is expected to be concentrated along the three paths of “investment and research task entry - closed loop wealth management - institutional infrastructure”. In terms of investment strategy, it can be arranged around the three main lines of decision entry, closed loop of assets, and institutional infrastructure. Priority is given to financial information platforms with high-frequency investment task entrances and the ability to arrange professional financial data and tools; focus on closed-loop wealth management platforms that can connect AI judgments to securities accounts and customer assets; and finally, it is recommended to focus on financial IT companies and brokerage firms with leading digital and wealth management capabilities that benefit from IT construction needs related to the financial industry.