In recent times, AI applications have seamlessly integrated into every facet of the wealth management services offered by securities firms. This integration spans a comprehensive range, from client acquisition and investment advisory decision - making to trade execution and operational management. Such widespread adoption has spurred a significant shift in the industry's competitive landscape, moving away from 'labor - intensive strategies' towards a model of 'human - machine synergy'.

A senior executive from a well - known securities firm highlighted that the traditional approach to market expansion, which heavily depends on 'a vast network of branches and a large workforce', is no longer adequate to satisfy the contemporary, personalized demands of clients. At present, the key competitive factors within the industry hinge on several crucial aspects. Firstly, whether data can be effectively harnessed to enhance the efficiency of investment research. Secondly, whether algorithms can accurately align with clients' asset allocation requirements. And thirdly, whether financial services can be delivered comprehensively to every investor.

The securities industry is undergoing a profound transformation, transitioning from being 'human - centric' to 'intelligence - centric'. Concurrently, service models are evolving from 'single - channel access' to 'full - lifecycle companionship', providing investors with continuous support throughout their investment journeys.