Core Insights - The A-share market has seen a significant increase in trading activity, with daily trading volume consistently exceeding 1 trillion yuan, leading to a rapid expansion of AI advisory management scale [1] - The number of A-share investors has surpassed 240 million, indicating that approximately 1 in every 6 Chinese individuals is now a stock investor [1] - AI is addressing traditional issues faced by ordinary investors, such as information asymmetry and emotional biases, by translating research capabilities into actionable investment advice [1] AI Advisory Experience - A recent evaluation of three mainstream AI advisory systems—Tonghuashun Wencai, Dongfang Caifu Miaoxiang, and Jiufang Lingxi—focused on their performance in investment analysis, particularly in hot topic interpretation, stock screening, and stock diagnosis [2] - Each AI advisory system has its strengths: Tonghuashun Wencai excels in natural language understanding and visualization, Dongfang Caifu Miaoxiang integrates multiple information sources for analysis, and Jiufang Lingxi offers strong reasoning and personalized service capabilities [2] Market Hotspot Analysis - In the context of fluctuating international markets, particularly the rising US dollar, the AI systems provided multi-dimensional analyses on which safe-haven assets to consider, with common mentions of gold, silver, Swiss francs, and US Treasury bonds [3] - Jiufang Lingxi provided more detailed insights, including recent trends in spot gold and gold ETFs, as well as defensive sector funds in healthcare and consumer sectors [3] Stock Screening and Analysis - The AI systems demonstrated distinct stock screening criteria, with Tonghuashun Wencai focusing on comprehensive valuation metrics, Jiufang Lingxi emphasizing higher ROE and revenue growth, and Dongfang Caifu Miaoxiang targeting non-ST stocks with significant market capitalization [6] - Jiufang Lingxi's analysis included a multi-dimensional approach, combining profitability, industry trends, and policy support, showcasing its strong logical analysis capabilities [6][10] Individual Stock Analysis - The evaluation included in-depth analyses of popular chip stocks, with Jiufang Lingxi providing comprehensive insights across various dimensions, while Tonghuashun Wencai focused on fundamental, technical, capital, and news aspects [8][9] - All three AI systems effectively utilized data visualization and interactive elements to enhance user engagement and understanding [9] User Experience and Design - Jiufang Lingxi achieved an overall user satisfaction rate of 83.7%, indicating strong performance in user interaction and experience design [11] - Each AI advisory system has a unique interface: Jiufang Lingxi emphasizes clear functional divisions, Tonghuashun Wencai follows a data-first approach, and Dongfang Caifu Miaoxiang opts for a clean and straightforward design [11]

Core Viewpoint - The rise of AI-driven investment advisory services is reshaping the traditional investment consulting landscape, driven by regulatory changes and evolving investor demands for personalized and efficient services [5][6][7][9]. Group 1: Industry Background - The investment advisory industry in China faced significant challenges from 2010 to 2016, leading to a proliferation of licensed institutions, which resulted in regulatory scrutiny and the eventual cessation of new advisory licenses in 2016 [5][6]. - As of April 2024, only 78 institutions hold the Securities Investment Consulting Business Qualification Certificate, indicating a shift to a stock competition phase in the industry [6][7]. - Traditional advisory services are characterized by a high client-to-advisor ratio, with an average of 2,750 clients per advisor in China compared to 156 in the U.S., highlighting inefficiencies in personalized service delivery [8][21]. Group 2: AI and Smart Advisory - The emergence of AI models presents a new approach to investment advisory, allowing for real-time analysis and personalized recommendations, which traditional methods struggle to provide [10][17]. - Smart advisory services are increasingly integrating real-time data and personalized insights, enhancing the overall user experience compared to traditional models [17][19]. - The ability to access timely information, such as earnings call transcripts, significantly improves the efficiency of smart advisory services, addressing the information gap between individual investors and institutions [18]. Group 3: Market Opportunities - The traditional advisory model's limitations create opportunities for smart advisory services to capture the "long-tail market," which consists of clients that are not effectively served by conventional methods [23][25]. - The growing interest in smart advisory services among retail investors is evident, with significant subscription numbers reported for platforms like Tonghuashun, indicating a potential revenue stream for these services [24]. - The projected revenue from smart advisory services for Tonghuashun could reach between 384 million to 745 million yuan annually, showcasing the financial viability of this market segment [24].