9月25日，在2025云栖大会上，盈米基金与阿里云联合发布了国内首个财富管理领域的理财智能体评测 集"FinMCP-Bench"，以及能够像金融专家一样协同工具调用来处理复杂问题的投顾智能体模型"Dianjin- Qieman-FA-Agentic"。 "随着大模型在财富管理领域的深化应用，财富管理公司都很关心自己的AI应用给客户提供的财富管理 服务到底可以打几分，金融行业也一直在翘首以待一个专属这个行业的垂直应用大模型。此次发布的测 评集和投顾智能体模型，正是为了解决这两个问题而面世的。"盈米基金高级副总裁、且慢业务负责人 林杰才说。 据了解，上述测评集和投顾智能体模型已在盈米基金旗下投顾服务平台——且慢App上应用，并成为其 AI大模型投顾服务且慢"AI小顾"迭代升级的核心引擎。此次发布，不仅是为行业提供了AI模型可度量 的权威标尺，更通过"基准评测集+垂类大模型"的双轮驱动，为行业的智能化升级树立了从技术到应用 的全新范式。 盈米基金人士介绍道，上述"FinMCP-Bench"评测集本质上是一套针对AI大模型在财富管理领域"工具调 用"能力的量化指标体系。作为国内首个专注于财富管理领域的评测基准，其区别 ...

Core Insights - The digital transformation in the financial sector is being driven by artificial intelligence (AI), with 88% of U.S. financial institutions already implementing AI applications [2] - China's financial market is exploring AI in unique ways, focusing on internal efficiency rather than direct customer-facing services [2][3] - The public fund industry in China is leveraging digitalization for upgrades in investment research, advisory services, and software development [3] AI Implementation in Chinese Financial Institutions - Leading public funds like Huatai-PB and E Fund are integrating AI into their advisory services, with Huatai-PB's "Help You See" service utilizing AI for portfolio analysis and fund diagnostics [3][4] - Debon Fund has developed the "Haina Baichuan" model aggregation platform to enhance research efficiency by quickly capturing industry trends [4] - Bosera Fund has completed the private deployment of the DeepSeek series models, enhancing their capabilities in investment research and advisory services [5] AI's Impact on Quantitative Investment - The quantitative investment sector is experiencing a surge in AI adoption, with firms investing heavily in talent and technology [5][6] - AI's multi-modal processing capabilities are expected to reshape quantitative investment by integrating non-standard data for better decision-making [6] AI in Wealth Management - By 2025, AI-driven wealth management is projected to reach approximately $4.5 trillion, contributing 10%-15% of that growth [8] - Generative AI is transforming customer acquisition, service, and internal knowledge management across the entire value chain [8][9] - Companies like Yingmi Fund are pioneering AI applications in personal advisory services, significantly improving efficiency in client interactions [9] Challenges and Perspectives on AI - There is an ongoing debate about the role of AI versus human advisors, with some firms like E Fund opting for a purely human advisory model [11][12] - While AI can enhance service efficiency and provide 24/7 support, concerns about AI hallucinations and algorithmic bias remain [12][13] - Many financial institutions are initially focusing on internal applications of AI to improve operational efficiency [13][14] Regulatory and Future Outlook - The Chinese regulatory framework is evolving to support high-quality development in the public fund sector, emphasizing the need for responsible AI use [14] - The financial industry is poised for significant transformation as it embraces technological advancements while navigating associated risks [14]