自2019年公募基金投顾业务试点正式启动，中国"买方投顾"模式已走过六年探索之路，现已成为财富管 理行业转型的核心方向。作为全国金融重镇，广州市前瞻性布局，明确提出建设"全国投顾第一城"的战 略目标，近期发布的"AI投顾十条"进一步以政策赋能构建高质量投顾生态，为行业发展注入强劲动力。 作为全国第一家投顾人员专门培训机构，广州投资顾问学院管理有限公司（以下简称"广州投资顾问学 院"）近年来聚焦教学研究和平台建设两大核心任务，持续强化学院在广州投顾业态建设的主体作用。 为深入解读买方投顾模式发展现状、痛点与未来方向，近日，南都·湾财社采访了广州投顾学院，共同 探讨国内买方投顾模式的创新变革、市场成效、投资者认知、人才培养等多个关键议题。 买方投顾正重构财富管理行业商业模式 南都·湾财社：与传统的投顾或销售模式相比，贵司认为买方投顾模式最根本的不同在哪里？ 广州投顾学院： 买方投顾模式与传统投顾或销售模式的根本不同，源于利益导向、服务逻辑与收费机 制的系统性重构，这种重构彻底改变了财富管理服务的商业模式。 在传统模式下，机构与投顾的收入主要依赖证券高频交易佣金、产品销售佣金和申购赎回费分成，收入 高低与交易频率、 ...

天眼查显示，近日，海南嘉博芯盛投资顾问有限公司成立，法定代表人为李见，注册资本1000万人民 币，由海南嘉博芯盛投资咨询有限公司全资持股。 来源：市场资讯 序号股东名称持股比例1海南嘉博芯盛投资咨询有限公司100% 经营范围含一般经营项目：以自有资金从事投资活动；自有资金投资的资产管理服务；企业管理咨询； 融资咨询服务；社会经济咨询服务（经营范围中的一般经营项目依法自主开展经营活动，通过国家企业 信用信息公示系统（海南）向社会公示） 企业名称海南嘉博芯盛投资顾问有限公司法定代表人李见注册资本1000万人民币国标行业租赁和商务服 务业>商务服务业>综合管理服务地址海南省三亚市吉阳区万全路4号互联网信息产业基地二期企业类型 有限责任公司（自然人投资或控股的法人独资）营业期限2025-12-24至无固定期限登记机关海南省市场 监督管理局 ...

近年来，广州锚定"全国投顾第一城"建设目标，持续提升金融服务实体经济质效，以"1+4+N"工作思路 抢占投顾发展先机，创造了国内投顾行业发展历史上的五个"第一"，即：第一家投顾人员专门培训机构 （广州投资顾问学院）、第一家投顾领域专门研究机构（广州投资顾问研究院）、第一家专注投顾生态 塑造的母基金（广州投顾产业链投资有限公司），并率先出台全国第一个支持投顾业态发展的地方政策 性文件"投顾十条"，发布国内第一个支持AI投顾发展的地方政策文件"AI投顾十条"，致力于打造涵盖培 训、研究、产业链投资的全业态支撑体系，全力推动投顾专业成长与产学合作，正是广州金融业把握大 势、服务大局的主动担当。 中共广州市委金融委员会办公室副主任温科银在致辞中指出，本次活动含"金"量十足，对于广州"投顾 十条"落地见效，加快投顾人才培养，巩固业态先发优势有着重要意义。下一步，广州将牢牢把握全球 财富管理变革机遇，锚定"全国投顾第一城"建设目标，围绕资本市场投融资改革和金融服务实体经济， 持续大力推动投资顾问业态发展，助力广州现代化金融产业体系建设，共同打造立足湾区、服务全国、 面向世界的投顾之城。 12月15日至16日，"赋能投顾专 ...

Core Viewpoint - The regulatory environment for investment advisory firms has tightened significantly in 2023, with numerous penalties issued for violations related to misleading marketing practices and inadequate compliance measures [3][6]. Summary by Sections Regulatory Actions - The Guangdong Securities Regulatory Bureau has imposed corrective measures on Guangzhou Wanlong Securities Consulting Co., Ltd. for multiple violations, including inadequate investor suitability management and misleading marketing content [2][4]. - A total of 74 penalties have been issued to 49 investment advisory firms this year, matching the total number of penalties from the previous year [3][6]. Violations Identified - Wanlong Consulting was found to have six specific violations: 1. Failure to conduct regular suitability self-assessments. 2. Inadequate compliance management system. 3. Use of misleading, exaggerated, or deceptive marketing language. 4. Unregistered employees providing investment advice. 5. Offering investment advice to individuals without signed advisory service agreements. 6. Lack of reasonable basis for some investment advice and insufficient risk warnings [4][5]. Industry Trends - The trend of increasing penalties reflects a broader crackdown on misleading promotional practices within the investment advisory sector, with over 60% of firms facing corrective actions [6]. - Notably, Beijing Zhongfang Xinfeng Investment Management Consulting Co., Ltd. received the heaviest penalty this year, amounting to 3 million yuan, for severe compliance failures, including submitting false information to regulators [7].

"AI投顾十条"是广州推动金融科技赋能资本市场投资端改革和财富管理行业向买方转型，助力构建高质 量投顾生态体系，加快建设具有全国影响力的"投顾第一城"的重要支撑。 具体来看，广州将争取上级监管部门支持广州AI投顾发展。积极向中央金融监管部门和有关国家部委 申请建立适用于人工智能投顾应用的包容审慎监管机制，鼓励AI投顾应用项目参与广州资本市场金融 科技创新试点。 新华财经广州11月26日电（记者吕光一）11月26日-27日，"2025广州投资顾问大会暨财富管理转型发展 会议"在广州南沙举行。会上，广州市委金融办发布了《广州市大力推动AI投顾发展的若干措施》，简 称"AI投顾十条"。 广州将加强支持AI投顾业务关联产业发展，包括推动相关产业基金、鼓励各类市场化基金投向"人工智 能+投顾"产业主体、鼓励银行机构加大对符合政策导向的"人工智能+投顾"相关企业的信贷支持力度。 支持各区出台AI投顾业务发展相关支持政策，健全AI投顾企业在穗展业服务体系，积极招引国内外AI 投顾产业链机构来穗发展合作。 "AI投顾十条"显示，广州还将从建立信息共享机制、推动数据要素供给、探索建立标准体系、培育复合 型人才、营造行业发展良好 ...

11月26日，2025广州投资顾问大会暨财富管理转型发展会议举行。会议现场采用"数字人视频"的形式，发布了《广州市大力推动AI投顾发展的若干措 施》。 11月26日，2025广州投资顾问大会暨财富管理转型发展会议举行。会议现场采用"数字人视频"的形式，发布了《广州市大力推动AI投顾发展的若干措施》 （以下简称"AI投顾十条"）。 "AI投顾十条"提出，积极打造粤港澳大湾区AI投顾算力枢纽，面向国内各层次投顾机构提供多类型算力服务；推动相关产业基金并鼓励各类市场化基金投 向"人工智能+投顾"产业主体。 广州市副市长赖志鸿表示，近年来，广州锚定"全国投顾第一城"建设目标，持续提升金融服务实体经济质效。在政策支持方面，广州将投顾产业发展纳入 广州市重点工作和"十五五"发展规划，出台"AI投顾十条"，为行业发展提供有力保障。 设立投顾行业数据交易产品 "AI投顾十条"以金融科技赋能资本市场投资端改革和财富管理行业向买方转型，助力广州构建高质量的投顾业态建设体系，加快建设具有全国影响力 的"投顾第一城"，为广州市打造现代化金融产业体系提供有力支撑。 "AI投顾十条"提出，争取上级监管部门支持广州AI投顾发展。积极向中央 ...

Core Viewpoint - The article highlights the importance of financial education in the investment industry, showcasing the efforts of HaiNeng Investment Advisory in enhancing investor knowledge and promoting rational investment practices through innovative educational methods [1][3][4]. Group 1: Financial Education Initiatives - HaiNeng Investment Advisory has implemented various measures to improve investors' financial literacy, including the establishment of an online and offline learning platform that offers video courses and live lectures [3]. - The company emphasizes the cultivation of risk awareness among investors by providing case studies and risk assessment tools to help them accurately evaluate their risk tolerance [3]. - A focus on long-term investment strategies is promoted, guiding investors to avoid short-term speculation and assisting them in constructing reasonable investment portfolios through asset allocation methods [3]. Group 2: Industry Recognition and Future Plans - The "2025 Smart Financial Education Annual Conference" recognized HaiNeng Investment Advisory's original educational work, which won the "Innovative Educational Work Award" at the second "CaiLian Star Cup" financial education annual evaluation [1]. - Following this award, HaiNeng Investment Advisory plans to continue innovating its educational methods and upgrading its content to enhance investor protection and education [4]. - The company aims to guide clients towards rational investment through long-term support and comprehensive advisory services, helping them establish a scientific investment system [4].

Core Insights - The "Second 21st Century Gold Medal Investment Advisor" project has been officially launched, focusing on the development of buy-side investment advisory services in China [1] - The project aims to promote high-quality development in the wealth management industry by collecting and evaluating outstanding investment advisory cases [1][2] - A new category for "AI Investment Advisory" has been introduced to encourage the integration of artificial intelligence in investment advisory practices [3] Group 1: Project Overview - The project continues the theme of the first edition, emphasizing professional and warm investment advisory teams and excellent fund advisory cases [1] - It includes a comprehensive evaluation of fund advisory cases based on business structure, team building, investor behavior improvement, and customer service levels [1] - The evaluation process is supported by Shanghai Securities, ensuring fairness and compliance in the assessment of participating cases [1][2] Group 2: Industry Context - Recent policy changes, including the new "National Nine Articles" and public fund fee reduction reforms, are reshaping the market and industry ecology [2] - The buy-side era is emerging, with more types of institutions expected to enter the market, accelerating brand building for fund advisory institutions [2] Group 3: AI Integration - The introduction of the "AI Investment Advisory" category aims to highlight successful applications of AI in enhancing service efficiency and user experience [3] - The project will host forums and closed-door seminars to discuss the latest developments and future trends in fund advisory services [3] Group 4: Communication Strategy - The project will leverage the extensive media resources of Southern Finance and Economics Media Group to maximize its influence and reach [4] - A variety of multimedia content will be generated to enhance user engagement and understanding of the investment advisory industry [5] - The project aims to establish a fair, open, and professional platform to measure the value of investment advisory services [5]

Core Viewpoint - The Shanghai Composite Index has surpassed 3900 points, marking a ten-year high, with a cumulative increase of over 28% since the low on April 7, and a year-to-date increase of 16% [1] - The A-share market is undergoing a historic shift from scale-driven to quality-driven growth, characterized by technological leadership in industrial upgrades and the influx of long-term capital [1] - The first Financial Influencer Summit by Jiufang Zhitu AI Stock Machine aims to provide a platform for integrating top-tier wisdom, practical experience, and cutting-edge technology to inject new investment dynamics into the market [1] Group 1: Summit Highlights - The summit features a combination of financial influencers and authoritative experts, creating a top-tier investment exchange platform that bridges macro theory and micro practice [3] - Key discussions will focus on essential topics for investors, such as the necessity of tools in building personal analysis systems and strategies for navigating market volatility in Q4 [4] - Users of Jiufang Zhitu AI Stock Machine will share their experiences, showcasing how the AI tool aids decision-making and enhances efficiency in real investment scenarios [5] Group 2: Industry Impact - The gathering of diverse financial influencers at the summit reflects Jiufang Zhitu's strong industry presence and platform value, emphasizing the importance of professional credibility and the appeal of AI investment tools [6] - The summit signifies Jiufang Zhitu's strategic deployment in response to market trends and user needs, transitioning from merely showcasing product functions to establishing value recognition [7] - The event serves as a critical exploration and practice for the investment advisory industry, addressing the demand for certainty in strategies and the role of AI tools in complex investment environments [8]

Group 1 - The core viewpoint of the article is that the AI investment advisory market is expected to grow significantly, with a projected increase from $61.75 billion in 2023 to nearly $471 billion by 2029, representing a growth of over 600% [2][3] - Currently, about 10% of retail investors are using chatbots for stock selection, and half of the surveyed individuals are open to trying it [4][6] - An experiment reported by Finder indicated that a portfolio selected by ChatGPT achieved a remarkable return of 55%, outperforming mainstream funds in the UK market [4][6] Group 2 - Former UBS analyst Jeremy Leung mentioned that he now uses ChatGPT to guide his investment portfolio, stating that even simple tools can replicate many of his previous workflows [6][7] - Industry experts have raised warnings about the risks associated with using general AI models, emphasizing that they may misquote data and overly rely on existing narratives [6][7] - Leung cautioned that chatbots cannot access data behind paywalls, potentially missing critical analytical information [7] Group 3 - To achieve optimal results, users must provide detailed instructions to the AI, such as specifying the context or using reliable sources like SEC filings [9] - There is a concern that if investors become too complacent after easy gains from AI, they may struggle to respond effectively during market crises or downturns [9]