Core Insights - The article discusses the application and challenges of large AI models in the securities industry, highlighting the progress made by various brokerage firms in integrating AI into their operations [1][2]. Group 1: AI Model Implementation - Shanxi Securities has successfully integrated AI models into specific business scenarios, achieving a tenfold increase in efficiency for bond trading by reducing response time from 30 seconds to 3 seconds [2]. - Guoyuan Securities has established a six-layer AI empowerment system, focusing on the practical application of AI tools for investment banking projects, including capabilities for intelligent verification and regulatory Q&A [2]. - Huafu Securities allocates approximately 25% of its annual IT investment to AI, implementing performance assessments based on AI project usage and depth [3]. - Southwest Securities has initiated its exploration of AI models in 2023, establishing a dedicated digital transformation office to oversee AI applications such as intelligent knowledge bases and investment assistants [3]. - Guotai Junan Securities has adopted an "All in AI" strategy, promoting AI understanding among employees and developing AI tools for client services [3]. Group 2: Regulatory Framework - There is a consensus in the industry on the need to improve the regulatory framework surrounding AI applications, with suggestions for a tiered certification system for AI financial services [4]. - Recommendations include clarifying responsibilities and disclosure requirements for AI services to protect both investors and brokerage firms [4]. - The establishment of data usage norms is suggested to enhance transparency and compliance in client data usage while safeguarding privacy [4]. Group 3: Future Industry Trends - The rapid evolution of technology is expected to significantly alter service models and operational logic in the securities industry, with a potential shift towards more integrated and efficient AI applications [5][6]. - There is an anticipation of a "disillusionment phase" for large models in the next couple of years, where unrealistic expectations may be challenged, but the productivity tools provided by these models will remain valuable [5]. - The future value in the industry may lie in the development of "intelligent decision-making" capabilities, where AI can abstract various elements and adapt to market changes [6]. - The emergence of a comprehensive intelligent agent matrix is expected, which could transform business models and operational ethics within brokerage firms [6].