应用场景打开，AI 助推金融机构内部效 率与外部价值双升 [Table_Industry] 计算机 "AI+金融"系列专题研究（二） [Table_Invest] 本报告导读： 当前，AI 应用已在各类金融机构的核心业务以及中后台场景中加速渗透，助推金融 机构内部效率与外部价值双升。 投资要点： 告 请务必阅读正文之后的免责条款部分 股 票 研 究 行 业 专 题 研 究 证 券 研 究 报 股票研究 /[Table_Date] 2025.11.24 [Table_Report] [table_Authors] 2025-11-25 [Table_Summary] 投资建议：2025 年 DeepSeek R1 的发布助推通用模型推理能力跃迁 和成本锐减，并实现模型开源，成为金融机构本地化部署 AI 的行业 拐点。当前，AI 应用已在各类金融机构的核心业务以及中后台场景 中加速渗透，未来 AI 有望重构金融业务流程和组织架构，为金融数 智化打开新纪元。建议关注：1）金融信息服务。相关标的：同花顺、 九方智投控股、指南针。2）第三方支付。推荐标的：新大陆、新国 都，相关标的：拉卡拉。3）银行 IT。推荐标的：宇 ...

Core Insights - The user base of securities service apps continues to grow, driven by the active A-share market and a significant increase in new account openings [1][2] User Growth and Market Activity - In September, the monthly active users of securities service apps reached 174 million, marking a year-on-year increase of 9.73% and a month-on-month increase of 0.74%, setting a new record for the year [2] - The number of new A-share accounts opened in September was 2.9372 million, representing a year-on-year growth of 60.73% and a month-on-month increase of 10.83%, achieving the fourth consecutive month of growth [2] App Performance and Rankings - The top tier of securities service apps remains stable, with 11 apps exceeding 6 million monthly active users. Huatai Securities' "Zhangle Caifutong" app leads with 11.9517 million users, followed by Guotai Junan's app with 10.2922 million users [2] - 20 brokerage apps saw a year-on-year increase in monthly active users exceeding 10%, with notable performances from smaller brokerages like Industrial Securities' "Yuli Bao," which grew by 35.95% [3] Market Dynamics and User Engagement - The active user growth among different securities service apps showed divergence in September, influenced by the overall market's high volatility and trading volume [3] - The concentration in the third-party app market remains significant, with Tonghuashun, Dongfang Caifu, and Dazhihui leading the pack, each maintaining millions of active users [3] Technological Integration - The securities industry is embracing technological transformation, with many brokerage apps undergoing functional iterations and integrating AI as a core strategy [6] - Several brokerages have launched AI-driven apps to enhance user experience, although there is still room for improvement in terms of practical application and personalization [6] Strategies for Improvement - Industry experts suggest that brokerages can enhance app engagement by deepening AI applications, shifting focus from short-term promotions to long-term customer value, and integrating online and offline services [7]

Core Insights - The article highlights Guotai Junan's commitment to digital transformation and innovation in the securities industry, emphasizing the development of a new generation of core trading systems and the integration of AI technologies [2][3][7]. Digital Transformation Strategy - Guotai Junan has positioned comprehensive digital transformation as a top priority during the 14th Five-Year Plan, aiming to create a "SMART investment bank" and transition from "AI in ALL" to "ALL in AI" [2][3]. - The company has undertaken numerous innovative research projects in cloud computing, big data, AI, and blockchain, contributing to technological advancements in the industry [2][3]. Core Trading System Development - The new core trading system, developed in collaboration with Huawei, utilizes distributed architecture and low-latency technologies, addressing the limitations of traditional systems [3][4]. - The system has achieved significant performance improvements, reducing transaction latency from 20 milliseconds to 200 microseconds and increasing single-node processing capacity from 2,500 to 8,000 orders per second [4][5]. Performance and Reliability - The new trading system has demonstrated exceptional performance and reliability, successfully handling a surge in trading volume during extreme market conditions [4][6]. - The system features automatic switching between primary and backup components, ensuring message integrity and business continuity [4][5]. Collaborative Innovation - Guotai Junan's partnership with Huawei and Huairui has led to the establishment of a joint innovation laboratory, enhancing the capabilities of the core trading system [5][6]. - The company has adopted a collaborative approach to overcome technical challenges, utilizing a gradual strategy for system upgrades [6]. AI Integration - Following the establishment of a robust technical foundation, Guotai Junan is focusing on AI integration, proposing an "ALL in AI" strategy to enhance trading efficiency and risk management [7]. - The company aims to leverage AI for intelligent decision-making, risk control, and efficiency improvements across trading processes [7].

Core Insights - The emergence of large models like DeepSeek has initiated a quiet AI revolution in the brokerage industry since early 2025, with a noticeable acceleration in AI deployment during the recent holiday period, leading to the launch of new features such as smart investment advisory and trading tools [1][3]. Group 1: AI Applications in Brokerage - Brokerages are transforming their apps from mere trading tools into comprehensive investment assistants, exemplified by Guotai Junan Securities' launch of the AI-driven app "Guotai Junan Lingxi," which integrates general large models with specialized models [1][3]. - Dongwu Securities has introduced a personalized AI service officer "AI Xiaoshuidi" in its self-developed "Xiucai APP," offering multi-turn dialogue investment advisory covering 13 dimensions, including market trends and data analysis [3][5]. - AI applications in brokerage services are diversifying, enhancing areas from wealth management to investor education, with firms like Huatai Securities and GF Securities actively integrating AI into their operations [5][9]. Group 2: Intelligent Investment Advisory - Intelligent investment advisory services have become one of the most mature AI applications in brokerage apps, allowing for tailored investment plans based on in-depth analysis of customer behavior and preferences [7][11]. - Guojin Securities' AI advisory system utilizes multi-dimensional user profiling to create customized investment strategies, providing real-time trading signals and visual prompts through its app [7][9]. Group 3: Operational Efficiency and Training - Brokerages are enhancing operational efficiency through AI, with some firms implementing intelligent front-office systems that automate tasks like business documentation and client verification, significantly reducing processing times [11][13]. - Employee training programs focused on AI are being established to improve staff's digital literacy and skills, ensuring that the workforce is equipped to leverage AI technologies effectively [5][11]. Group 4: Regulatory Developments - The China Securities Association has proposed new standards for the stability of information systems in the brokerage industry, emphasizing the integration of AI algorithms and big data analytics into stability management processes [14][16]. - The shift towards AI-driven decision-making in trading raises questions about the balance between algorithmic efficiency and human judgment in investment strategies [16].

Core Insights - The article discusses the increasing integration of artificial intelligence (AI) in the wealth management sector of brokerage firms, transforming operations from a "human sea tactic" to "human-machine collaboration" [1][8] - AI applications are now systematically embedded in various aspects of brokerage services, including client engagement, investment decision-making, trade execution, and operational management [1][8] AI Product Development - Brokerage firms have been actively launching new AI products since the beginning of the year, with significant advancements in their wealth management services [3] - Notable developments include the upgrade of the "易淘金APP" by Guangfa Securities, which features over ten AI modules, and the introduction of the "国泰海通灵犀" app by Guotai Junan, which offers three main intelligent service interfaces [3] - Other firms like Caida Securities and Dongwu Securities have also integrated AI algorithms into their apps to provide comprehensive intelligent solutions throughout the investment cycle [3] Investment Advisory Services - In the investment advisory domain, firms like Guojin Securities and China Galaxy Securities have launched AI-driven advisory services, offering features such as AI stock selection and fund optimization [4] - Digital employees powered by AI are being deployed for investor education and to assist in various advisory tasks, enhancing the efficiency of human advisors [4] Wealth Management Transformation - AI is reshaping the wealth management landscape by enhancing decision-making, customer insights, and risk control, transitioning from auxiliary tools to core intelligence [6][8] - Successful case studies highlight the operational efficiency improvements achieved through AI, such as reducing the time required for institutional account openings by 60% and lowering rejection rates by 48% [7] Industry Challenges and Future Outlook - The industry is moving from a reliance on physical branches and personnel to a model driven by data and AI capabilities, emphasizing the need for personalized financial services [8][9] - Despite the advancements, challenges remain, including the gap between AI models and real-world applications, as well as the need for better alignment between business needs and technological resources [9] - The future of brokerage firms will depend on their ability to leverage data effectively and integrate AI into all aspects of their operations [9]

Core Insights - The integration of artificial intelligence (AI) in the wealth management sector of brokerage firms is transforming operations from traditional human-driven methods to intelligent, data-driven approaches [1][7][8] - AI applications are being deployed across various functions, including customer engagement, investment advisory, trading execution, and operational management, leading to enhanced efficiency and competitive advantages [1][4][7] Group 1: AI Product Development - Brokerage firms are continuously launching new AI products, enhancing their wealth management services with features like AI-driven investment assistants and trading tools [2][3] - Notable examples include Guangfa Securities' AI-native upgrade of its "Yitaojin APP" and the introduction of comprehensive AI services by firms like Guotai Junan and Dongxing Securities [2][3] Group 2: Operational Efficiency - AI is being utilized to streamline operations, such as automating customer service and improving response times through intelligent platforms [5][6] - A central brokerage firm reported a 60% reduction in operational time for institutional account openings by implementing AI-driven processes [4][6] Group 3: Market Transformation - The industry is shifting from a "people-intensive" model to one that emphasizes "human-machine collaboration," with AI playing a crucial role in decision-making and risk management [1][7] - The competitive landscape is evolving, focusing on data-driven insights and personalized financial services to meet the diverse needs of clients [7][8] Group 4: Challenges and Future Outlook - Despite the advancements, challenges remain in aligning AI capabilities with real business needs, as well as resource constraints for some brokerage firms [8] - The future of AI in the industry is expected to involve a complete restructuring of business and technology platforms, emphasizing the importance of data as a core asset [8]

Group 1: AI and Wealth Management - AI is reshaping the wealth management industry by enhancing data intelligence, emotional resonance, and multi-body collaboration, showcasing a "humanized" companionship capability [4] - The application of AI in wealth management is becoming more mature, with 70% of institutional investors using AI tools, although only 7% are deep users, indicating significant potential for further exploration [5] - Ant Group's wealth management platform has upgraded to version 3.0, offering three professional AI assistants to better meet user needs across the entire wealth management chain [6] Group 2: Market Trends and Opportunities - By the end of 2024, China's personal financial assets are projected to reach 205 trillion, making it the second-largest wealth management market globally, with a compound annual growth rate of around 10% over the next five years [3] - The integration of AI in financial technology is expected to benefit global markets, with Ant Group's security product, Ant Shield, already serving over 20 countries [6] - The launch of various AI-driven financial products, such as Alipay AI payment and smart insurance advisor Ant Xiaobao, highlights the growing importance of AI in enhancing user experience in financial services [6]

Core Insights - The personal financial assets in China, exceeding 200 trillion yuan, are undergoing a significant shift driven by the AI wave, with banks, brokerages, and internet giants competing fiercely for customer traffic through AI-driven wealth management platforms and embedded intelligent advisory services [2][8] Group 1: AI Integration in Wealth Management - Ant Group announced the upgrade of its Wealth Open Platform 3.0, introducing three AI assistants for financial institutions and content creators, which have already been registered by over a hundred financial institutions [2][6] - The "AI + investment" approach has become a key tool for open wealth management platforms, with major brokerages like Guotai Junan launching fully AI-driven apps to enhance content production and real-time interaction [2][8] - The application of AI in investment research is evolving, with firms like E Fund utilizing AI to enhance research efficiency and signal extraction from vast data [5][10] Group 2: Market Trends and Growth Potential - According to McKinsey, China's personal financial assets are projected to reach 205 trillion yuan by the end of 2024, making it the second-largest wealth management market globally, with a compound annual growth rate of around 10% over the next five years [8] - The shift towards AI-driven services is transforming the wealth management landscape, moving from product-centric to customer-centric lifecycle services [8][9] Group 3: Challenges and Opportunities - Despite the growing use of AI tools among institutions, only 7% of users are deeply utilizing these tools, indicating a need for more specialized AI applications [3][10] - The integration of AI in wealth management is expected to enhance efficiency and transparency, addressing traditional limitations in personalized service and post-investment tracking [5][10]

Core Viewpoint - The article highlights the significant growth in the user activity of securities apps, driven by a bullish A-share market and the increasing demand for diversified wealth management solutions among investors [1][6]. User Activity Growth - As of July 2025, the number of active users of securities apps reached 167 million, marking a 20.89% year-on-year increase [6]. - The top ten securities apps accounted for 63% of the market share, with Tonghuashun leading at 35.01 million active users, followed by Dongfang Caifu and Dazhihui with 17.14 million and 11.91 million users respectively [7]. Competitive Landscape - The competition among securities apps is becoming increasingly differentiated, with Tonghuashun and Dongfang Caifu leveraging their unique features to attract users [9]. - Smaller brokerages like Guohai Securities and Chengtong Securities have also seen rapid growth in user activity, indicating a competitive market environment [10]. AI Integration - The integration of AI technology into securities apps is a key trend, with firms like Guangfa Securities and Guotai Haitong leading the way in developing AI-native applications [12][13]. - AI-driven features are expected to enhance user experience and operational efficiency, providing personalized investment advice and improving customer interaction rates [14]. Market Dynamics - The article notes a shift from traditional tools to intelligent solutions in the securities app market, reflecting a broader trend towards digital transformation in financial services [13]. - The increasing preference for comprehensive and mature platforms among investors indicates a strengthening of the "Matthew Effect," where leading apps continue to dominate the market [7][10].

Group 1 - The core event is the launch of the "818 Wealth Management Festival" by Guotai Junan, featuring a special program "Financial Broadcast 10 Hours, Smart Investment AI New Quality" that focuses on A-share market investment hotspots and emerging industries [1] - The program aims to help investors grasp trends, optimize allocation methods, and establish correct investment concepts such as rational, long-term, and value investing [1] - The event includes a live interaction segment where chief investment advisors engage with investors to address their concerns, enhancing trust and connection between clients and the platform [1] Group 2 - Guotai Junan has introduced a new generation of AI-driven app, Guotai Junan Lingxi, which integrates large model technology and intelligent investment services to improve service efficiency and optimize customer investment experience [4] - The app offers 24/7 smart live streaming services and utilizes digital human technology to create a diverse content production matrix, providing an immersive experience for investors [4] - The app features three intelligent service interfaces: dialogue, live streaming, and market monitoring, reshaping customer service paradigms and upgrading smart wealth management experiences [4] Group 3 - The company has established a "Wealth Management Dream Factory" to standardize the selection and training of investment advisors, creating a matrix of star investment advisor IPs and a rich series of content [6] - Investment advisor IPs participate in special live broadcasts to answer investor questions and promote asset allocation thinking through educational programs [6] - The company is exploring the best pathways for converting public traffic to private traffic, thereby expanding the effectiveness of professional services [6] Group 4 - Guotai Junan aims to continue leveraging its "professional + technology" advantage to reshape wealth management service paradigms and enhance clients' long-term investment success rates [9] - The company is committed to becoming a leading domestic and internationally recognized comprehensive wealth management institution, contributing to the high-quality development of the capital market [9]