同时，投顾机制日趋成熟，服务效能显著增强。胡聪慧提到，基金投顾业务自2020年试点以来，已从边缘创新逐渐走向主 流服务。2025年起，各大机构加快服务迭代，招商基金"招财乐投顾"、蚂蚁财富"帮你投"等平台在客户持有时长、资产管理规 模等方面成效显著，表明系统化、全流程的陪伴型服务有助于改善投资体验。 本报记者 毛艺融 当前，随着我国资本市场改革持续深化，投资者结构日益多元，服务与保护机制亟需优化提升。围绕如何构建更有质量、 更有效率、更具中国特色的资本市场投资者服务体系，《证券日报》记者专访了北京师范大学经济与工商管理学院副院长、教 授胡聪慧。 党的二十届四中全会明确提出"加快构建高水平社会主义市场经济体制"等重要部署。《中共中央关于制定国民经济和社会 发展第十五个五年规划的建议》进一步指出，"提高资本市场制度包容性、适应性，健全投资和融资相协调的资本市场功能"。 监管层正积极推进制度改革与机制创新。胡聪慧提到，2025年10月份，中国证监会发布《关于加强资本市场中小投资者保 护的若干意见》，明确了当前和今后一个时期中小投资者保护的总体思路和政策举措。前期中国证监会2月份发布的《关于资 本市场做好金融"五篇大 ...

Core Insights - The article highlights the significant progress and challenges in the development of the public fund investment advisory business in China over the past six years since its pilot launch [1][2][3] Group 1: Business Development - The pilot program for public fund investment advisory services was officially launched by the China Securities Regulatory Commission (CSRC) on October 25, 2019, with 60 institutions obtaining pilot qualifications [2] - As of October 2025, the asset scale of buyer advisory services has exceeded 120 billion yuan, with some institutions reporting a high profitability ratio among their advisory accounts [2][3] - The overall profitability of advisory accounts has been significantly higher than non-advisory accounts, with reported excess returns of 7.01%, 4.23%, and 1.33% over one, two, and three years respectively [2] Group 2: User Experience and Strategy - Institutions have developed diverse strategies to cater to different investor needs, including liquidity management, conservative investments, and aggressive investments [3] - Feedback from clients indicates a generally positive experience with advisory services, although challenges remain in user awareness and service content alignment with client needs [3][4] Group 3: Fee Structure and Optimization - Suggestions for optimizing the fee structure include diversifying the charging model and linking advisory fees to product performance to align the interests of advisors and investors [4] Group 4: Investment Variety and Regulatory Support - There is a call for a broader range of investment products, including overseas markets and various asset classes, to meet diverse investor demands [5][6] - The CSRC is actively working to transition the advisory business from pilot to regular status, with plans to include more investment options such as Sci-Tech Innovation Board ETFs [6][7]

Core Insights - The public fund advisory business in China has experienced significant growth since its pilot launch in October 2019, evolving from a focus on quantity to a qualitative leap in service offerings [1][4][11] - The industry is projected to reach a scale of over 10 trillion yuan by 2030, driven by policy changes, fee reforms, and the increasing financial assets of residents [1][4] - AI technology is becoming a core driver of competition in the fund advisory sector, enhancing service personalization and efficiency [2][8][9] Industry Growth and Performance - The fund advisory business has grown from zero to nearly 200 billion yuan in assets under management over six years, with significant contributions from leading brokerage firms [3][4] - As of mid-2025, Huatai Securities reported a fund advisory business scale of 21.037 billion yuan, a 16.36% increase from the previous year [3] - Yimi Fund's advisory service assets exceeded 51 billion yuan by September 30, 2025, with over 460,000 clients [3] User Experience and Investment Behavior - Fund advisory services have shown a significant positive impact on user profitability and investment experience, with advisory accounts outperforming non-advisory accounts by approximately 27.1% over the past year [6][7] - The use of AI in services like "Help You Invest" has led to over 90% profitability among clients, with those utilizing signal services achieving a 97% profitability rate [7][8] Future Outlook and Challenges - The industry is transitioning from a scale-oriented approach to one focused on investor returns, emphasizing the need for improved service quality and client trust [10][11] - There is a recognized need for enhanced investor education to increase awareness and understanding of fund advisory services [11][12] - The competitive landscape is expected to evolve towards a model of professional division and ecological win-win, with different institutions leveraging their strengths in various market segments [12]

Core Insights - The rapid development of financial technology has led to the rise of robo-advisors, with global assets under management reaching $1.80 trillion in 2024, a year-on-year increase of 31.16% [1][8] - Traditional advisory models are costly and rely heavily on individual advisors' expertise, making them less accessible to small and medium investors, while robo-advisors leverage AI and big data to provide automated, personalized investment strategies [1][8] - The Chinese market for robo-advisors is also growing, with assets under management projected to reach 190.29 billion yuan in 2024, reflecting a year-on-year growth of 35.09% [10] Industry Overview - Robo-advisors utilize big data analysis, quantitative models, and algorithms to provide tailored asset allocation suggestions based on individual risk and return preferences, automating the investment process [2] - The industry is categorized into three service models: fully automated, hybrid (human-machine), and human-led advisory [2] Industry Value Chain - The upstream of the robo-advisory industry includes resources such as chips, financial data, user data, computational power, storage, and machine learning algorithms [4] - The midstream focuses on the development and operation of robo-advisory platforms, while the downstream involves direct applications for individual and institutional investors [4] Market Dynamics - In 2024, the number of new individual investors in China reached 12.72 million, a growth of 7.04%, with total investors reaching 236 million, up 5.69% [6] - The Chinese capital market is enhancing its attractiveness through reforms and expanding cross-border investment channels, leading to a record net purchase of U.S. stocks exceeding 500 billion yuan [6] - Platforms like Ant Wealth and Tencent's investment services are leveraging technology to attract users, with Ant Wealth's "Help You Invest" service reaching over 50 million users and a 65% reinvestment rate [6] Key Companies - Ant Group's "Help You Invest" service has over 50 million users, with a 65% reinvestment rate, and a significant R&D investment of 234.5 billion yuan in 2024 [16] - Huatai Securities reported an asset management scale of 556.3 billion yuan in 2024, with a 17% year-on-year growth [16] - Traditional financial institutions are also entering the robo-advisory space, with platforms like "Mojo Smart Investment" from China Merchants Bank providing comprehensive wealth management services [14] Industry Trends - The industry is expected to undergo deeper intelligent upgrades driven by advancements in AI, big data, and blockchain technologies, enhancing the precision and personalization of investment advice [20] - Service models are becoming more diversified and personalized, catering to individual investor profiles and preferences [21][22] - Regulatory frameworks are anticipated to tighten, ensuring compliance and protecting investor interests, with a focus on risk control and data security [23]

Investment Rating - The report recommends a positive investment outlook for the financial technology sector, specifically highlighting companies such as Tonghuashun, Dongfang Caifu, and Hengsheng Electronics, while suggesting to pay attention to Dingdian Software, Jinzhen Co., Changliang Technology, and Xinzhi Software [6]. Core Insights - The integration of AI in finance is expected to enhance operational efficiency and create new business opportunities across various financial sectors, including brokerage, internet finance, insurance, and banking [6][27]. - The financial industry is witnessing a significant increase in technology investment, with a total expenditure of 359.8 billion yuan in 2023, primarily driven by banks [11][14]. - AI is set to benefit both existing and new business models in the financial sector, improving backend efficiency and enabling personalized financial products and services [6][27]. Summary by Sections 1. AI and Financial Technology - The report outlines the evolution of financial technology from IT automation to internet finance and now to AI-driven solutions, marking a transformative phase in the industry [4][5]. - AI is becoming a core component of financial services, enhancing customer engagement and operational efficiency [6][27]. 2. AI Empowering Brokerage Firms - AI systems are expected to reduce costs and improve efficiency in brokerage operations, leading to increased revenue across various business lines [30][41]. - The integration of AI in brokerage firms is facilitating the development of new business models and enhancing existing services [30][41]. 3. AI in Internet Finance - AI is enhancing the operational efficiency of internet finance companies, leading to cost reductions and increased revenue [47][49]. - The deployment of AI models is expected to create new business opportunities in the internet finance sector, particularly in areas like intelligent investment advisory and customer service [47][49]. 4. AI in the Insurance Sector - The insurance industry is leveraging AI to improve underwriting efficiency and enhance research capabilities, leading to better risk management and customer service [62][64]. - AI is facilitating the automation of various processes within the insurance value chain, resulting in increased operational efficiency [70][75]. 5. AI in Banking - AI is transforming banking operations by enhancing customer service and risk management capabilities, leading to a more personalized banking experience [6][27]. - The integration of AI in banking is expected to drive innovation in financial products and services, improving overall service delivery [6][27].