内容来源：https://www.livemint.com/ai/ai-tools-can-help-but-they-can-also-cause-trouble-what-advisors-need-to-know-11757569391129.html

内容总结：

人工智能工具正以双刃剑姿态加速渗透美国财富管理行业：一方面，新一代顾问和客户需求推动券商与注册投资顾问公司积极整合AI以提升效率；另一方面，监管滞后与"AI洗白"风险已引发实质性处罚。

行业呈现明显代际差异：超过半数千禧一代和Z世代客户倾向选择使用AI工具的顾问，年轻顾问群体正通过AI快速提升数据分析和退休规划等工作的效率。然而去年已有两家顾问公司因虚假宣传AI应用遭美国证监会处罚，律师警告称监管机构正通过处罚小型公司树立执法先例。

当前行业聚焦三大核心挑战：客户数据安全防护成为金融机构整合AI至CRM系统的首要考量；金融业监管局要求企业明确AI监督系统的技术治理规范；部分州监管机构已在AI合规要求制定方面走在联邦前列。

实践层面，AI应用呈现两极化发展：聊天机器人已普遍承担账户查询等基础服务，释放人力专注高附加值工作；但涉及资产配置等核心建议时，从业者强调仍需人类顾问把控。行业组织CFP委员会于2025年2月发布AI伦理指南，明确要求在使用AI处理客户信息时严守保密原则。

摩根斯坦利顾问帕特里克·比格斯指出关键趋势："成功的关键在于融合技术优势与人性化建议，为客户提供无缝体验。"随着未来十年行业面临十万名顾问的人力缺口，AI或许将成为弥补服务规模缺口的重要解决方案，但人类顾问的情感智能与人际沟通能力始终是不可替代的核心价值。

中文翻译：

人工智能工具既能助力，亦能生事——理财顾问必须了解的要点
券商和注册投资顾问机构正快速将人工智能融入业务实践，这股浪潮往往由新生代顾问和客户推动。

面对人工智能，理财顾问需要精妙把握平衡。多数人希望借此提升效率，客户也倾向于与掌握最新技术的顾问合作。目前全美大型券商已将AI整合至顾问工作平台，颠覆性初创企业则为RIA公司提供各类AI新工具。

这一切都发生在模糊的监管环境中。已有财富管理公司因"AI洗白"（夸大人工智能在实际业务中的作用）陷入麻烦。去年，美国证交会就两家小型顾问公司Delphia和Global Predictions虚假宣传其AI应用达成和解。

《巴伦周刊》访谈多位从业者后发现：
AI用户呈现年轻化趋势。年轻理财顾问正积极探索AI提升效率的新方式，其中许多是应客户要求。西北互助银行研究显示，约54%的Z世代和千禧世代更倾向选择使用AI工具的理财顾问。

监管风险切实存在。咨询公司MarketCounsel首席执行官汉伯格指出，大公司不应因目前监管仅针对小公司而放松警惕。"监管部门会先处理相对不知名的企业，既能快速达成和解，又能向行业传递监管信号。"

AI合规工具受关注。2024年6月美国金融业监管局发布通知强调，若会员公司采用生成式AI进行监督审查（如电子邮件审核），其政策流程必须涵盖技术治理、数据隐私、模型准确性等要素。

汉伯格认为监管机构对AI违规的查处力度尚不明朗，但各州监管部门已在"制定负责任的AI使用规则方面走在了联邦机构前面"。

客户数据成核心关切。美林银行平台业务负责人卢佐尼斯表示，在CRM系统整合AI时，"所有建设都必须在防火墙内进行，客户数据必须得到全面保护"。

聊天机器人显身手。理财机构正快速采用AI聊天机器人和虚拟助手处理账户查询、密码重置等常规咨询，使人类顾问能专注于关系驱动的复杂任务。

王朝金融合伙公司首席技术官诺曼指出："未来十年理财顾问缺口约达10万人。好消息是AI技术能通过规模化服务缓解人力短缺。"

新生代取得良好成效。诺曼称其公司服务的独立顾问（平均年龄小于传统券商经纪人）已快速采纳AI工具，"部分顾问日均使用多次，总体应用率很高"。

财富管理初创企业Range计划用AI实现财务建议自动化。其顾问斯温森表示AI工具使其数据处理效率"至少提升两倍"。

Wealthspire总裁桑塔格认为，AI接管会议记录等任务后，初级顾问的部分工作已然消失，但这让新人能更专注于培养倾听与说服等软技能："顾问的情商和人际能力怎么强调都不为过。"

行业指南陆续出台。CFP标准委员会主席米勒表示，认证理财规划师行业正制定AI应用指南。该委员会于2025年2月发布生成式AI伦理指南，允许在保密前提下使用AI整理会议记录和客户文件。

但米勒强调提供财务建议时仍需谨慎："目前AI还无法为每个人提供完美资产配置方案"。

人机协作是关键。摩根士丹利顾问比格斯日常使用Debrief笔记总结工具及公司自研AI系统。他指出人类特质仍是"指路北极星"，成功关键在于"融合技术优势与人性化建议，提供无缝客户体验"。

英文来源：

AI tools can help, but they can also cause trouble. What advisors need to know.
Brokerages and RIA firms are quickly integrating artificial intelligence in their practices, often pushed by next-gen advisors and clients.
Financial advisors face a delicate balance when it comes to artificial intelligence. Many want to use it to improve productivity and clients often want to work with advisors who are up to speed on the latest tech advances. Nationwide brokerages have integrated AI in their advisor desktops while disruptive start-ups are offering registered investment advisor firms a host of new AI tools.
A few wealth advisory firms have already gotten into trouble for “AI washing," the practice of overstating the role that AI is playing in their businesses.
All this is happening in a murky regulatory landscape. A few firms have already gotten into trouble for “AI washing," the practice of overstating the role that AI is playing in their businesses. Last year, the Securities and Exchange Commission settled charges against two small advisory firms, Delphia and Global Predictions, for making false and misleading statements about their purported use of artificial intelligence.
Barron’s Advisor spoke to several advisors and industry professionals about how they are using AI to innovate while steering clear of regulatory trouble. Here’s what we found:
AI use skews younger. A cadre of younger financial advisors is experimenting with new ways to use the technology to boost their productivity and more quickly build their practices. Many are responding to demands from clients. Some 54% of Gen Z and Millennials prefer to work with a financial advisor who uses AI as a tool, according to recent Northwestern Mutual research.
Enforcement risk is real. Brian Hamburger, founder and CEO of MarketCounsel, a consultancy to financial advisors, contends that large firms shouldn’t take any solace from the fact that enforcement actions thus far have been confined to the small practices.
“Regulators will go after relatively unknown firms, because they can extract a very quick settlement from them and use that settlement to inform the industry that there’s a cop on patrol," says Hamburger, a lawyer who advises clients on legal issues.
Spotlight on AI compliance tools. In June 2024, Finra issued a regulatory notice stating that if a member firm is using Gen AI tools as part of its supervisory system—for the review of electronic correspondence, for instance—“its policies and procedures should address technology governance, including model risk management, data privacy and integrity, reliability and accuracy of the AI model."
Hamburger says the verdict is still out on how focused the SEC, Finra, and other regulators will be on AI-related violations. But he says that state regulators are already “getting out front of the federal regulators in terms of coming up with rules and requirements pertaining to the responsible use of AI."
Client data a top concern. For executives overseeing the integration of AI tools into their Customer Relationship Management (CRM) systems, a top concern appears to be the protection of client data. “With anything we are looking to build, it has to be within our firewalls, and our client data must be fully protected and secured," says Inez Louzonis, head of platforms and capabilities at Merrill Lynch.
Chatbots and virtual assistants can help. Financial advisory firms are rapidly embracing AI-powered chatbots and virtual assistants to handle routine customer inquiries, such as account balances, password resets, and market data. This can potentially free up human advisors to focus on more complex, relationship-driven tasks.
The automation of tasks once conducted only by humans couldn’t come sooner for some. “Over the coming decade, we’re looking at a shortage of around 100,000 financial advisors," says Leslie Norman, the chief technology officer of Dynasty Financial Partners, a firm that provides a tech platform and other services for roughly 500 independent advisors. “The good news is AI advancements offer a way out, because we see the ability for AI to inject scale into the way that advisors work with their clients, allowing them to serve more clients."
Next-gen is getting good AI results. Norman contends that Dynasty’s network of independent advisors—who tend to be younger on average than brokers at traditional firms—have been quick to adopt the AI tools that the firm is providing. “Within a given office, there might be some who are using it multiple times a day, and others more on occasion, but overall, the adoption has been high."
Range is a wealth management start-up that plans to use AI to automate financial advice. Sam Swenson, one of its financial advisors, says its AI tools help him collect and analyze data from clients, build retirement plans, and project taxes. “I’m at least twice as productive in terms of how quickly I can move through data," he says.
Eric Sontag, COO and president of Wealthspire, believes now that AI is handling client meeting notes and other tasks, part of the junior advisor’s job is gone. He points out that the change gives new employees a chance to focus on building critical soft skills, such as careful listening and persuasion. “You can’t overestimate the importance of the EQ and interpersonal side of being an advisor," he says.
Guides are available. The certified financial planning industry is taking steps to prepare advisors for dealing with AI, says Elizabeth Miller, a Summit, N.J.-based planner who chairs the CFP Board, which sets standards for the industry. In February 2025, the CFP Board issued a Generative AI Ethics Guide on the proper uses for AI, including summarizing client meeting notes and aggregating client documents, “so long as the information may be kept confidential."
But Miller stresses that planners must tread carefully when it comes to offering financial advice using AI. “I don’t think AI can yet give an appropriate, perfect asset allocation for everyone out there."
Learn to combine skills. Patrick Biggs, a New York City-based Morgan Stanley advisor, is a regular user of Debrief, a note taker, summarizer and first-draft communication composer, and other Morgan Stanley AI tools that were built in-house using the firm’s proprietary data but also leverage OpenAI’s chatbot ChatGPT.
However, he says the human element must be viewed as “our North Star." Success in an AI-driven world, he says, will be “about combining the best of technology and the best of human advice, and delivering it in one seamless client experience."