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Turning to AI for money advice has risks, top-ranked advisor says: 'It's ignoring the personal and emotional part of it'
Watch CNBC's exclusive interview with TIAA CEO on AI & retirement investments Artificial intelligence is transforming how people gather information and make decisions -- including on matters of money. In fact, generative AI, which can supplant a human's analytical skills, is taking on the role of a financial advisor for a significant number of adults, recent reports show. Two-thirds, or 66%, of Americans who have utilized a GenAI tool like OpenAI's ChatGPT or Google's Gemini said they've used it for financial advice, according to a September report by Intuit Credit Karma. For Gen Z and millennials, the share is much higher: 82% use it for everything from simple budgeting to more complicated tax planning and investing. "GenAI is a powerful tool for learning, planning, and managing your money," Courtney Alev, Intuit Credit Karma's consumer financial advocate, said in a statement. However, she said, "finances are nuanced and deeply personal."
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AI is making robo-advisors smarter. Is that a good thing?
Financial advisors have long held the keys to strategic advice that helps investors manage their money. But AI-powered robo-advisors are changing the game. In 2024, the global robo-adviser market reached $1.4 trillion in value, a figure that's projected to grow to $3.2 trillion by 2033, according to Market Research Intellect. Key players in the market include Betterment, Ellevest, SoFi, Charles Schwab, Vanguard, and Wealthfront, offering investors automated investing solutions and advice at a fraction of the cost of a human adviser. But as more Americans entrust their life savings to algorithms, financial planners are sounding the alarm about what might get lost when human judgment is taken out of the equation. Kevin Estes, founder of Scaled Finance in Seattle, said AI might seem like a convenient shortcut, but it has a clear limitation. "AI is very good at answering the questions that you ask; the challenge is that people may not know the right questions to ask," Estes said. The appeal makes sense, especially to cost-conscious users. They can open accounts and start investing within minutes from their smartphones. Many platforms offer automatic tax-loss harvesting, which can help reduce tax liabilities without requiring investor involvement. For tech-savvy investors, especially millennials, it's a one-stop solution without the hassle of speaking to a human. "I think it's wonderful that the barriers to investing have fallen so dramatically, that the cost of trading, that the access has improved, and that people are getting the ability to have solutions for their investing needs that don't cost nearly as much as they used to." But the convenience and ease of using a robo-advising platform comes with complications. Ohan Kayikchyan, a certified financial planner, money coach and educator in North Carolina, is particularly worried about the lack of transparency surrounding robo-adviser algorithms. "In many cases, they will not make their algorithms public," Kayikchyan said. "In many cases, it's like a black box; we don't know what is inside." He noted that this obscurity makes it difficult for investors to understand why certain stocks in their portfolios are underperforming or when market conditions are shifting. Unlike human advisors who can explain their reasoning and adjust strategies based on nuanced conversations, robo-advisors rely on standardized questionnaires that may oversimplify complex financial situations. "The questionnaires that robo-advisors have are standard, so they are not necessarily catered for your situation," Kayikchyan explained. Risk tolerance, for example, is where human intercession and communication are especially important. "I'll try my best to explain with different examples and everything. But [with a robo-adviser], it is all on you ...for you to read." "Oftentimes, in the fine print, they'll say, 'We share our information with our partners.' But who are they and who all has access to this personal information, this private information?" Estes said. With access to such sensitive financial and personal information -- a field day for potential hackers and scammers -- make sure you do your due diligence and fully understand where your account information might be going, he added. The concern isn't just about robo-adviser companies, but also their corporate parents and business partners. Many automated platforms operate under the umbrella of larger financial institutions, giving multiple divisions access to sensitive financial data for product cross-selling and marketing. There are also unintended consequences when companies change hands, Kayikchyan said. He pointed to the bankruptcy and auction sale of 23andMe following a 2023 data breach that compromised nearly 7 million customers' genetic data and ended with a $30 million lawsuit settlement. In its bankruptcy proceedings, 23andMe's genetic database of more than 15 million users was set for sale to a pharmaceutical company for $256 million, but the deal fell apart after a multistate lawsuit over data privacy concerns. After the auction reopened, a research firm created by one of 23andMe's original co-founders won a $305 million bid for the company and its assets in July. "The database is there, so the company itself didn't do anything wrong," Kayikchyan said. "The information is private, but what if it gets purchased at a later time? This can happen to these robo-advisors as well." "Financial planning is a lot more than investing," Estes said. "Investing is an important part of what I do, but it's kind of a small percentage of the total," he added, noting that insurance, estate planning considerations ,and saving and budgeting for college expenses are all part of his tailored advice to clients. "All of these things are elements that are just not going to be done by robo-advisors." Human financial planners, on the other hand, can spot issues clients didn't know existed. "One of the things that I really feel that my clients benefit from is me going through their statements and finding interesting things, observations," Estes said, adding that he always asks clarifying questions before making recommendations -- something algorithms can't replicate. For example, a human adviser might notice concentrated stock positions from employer equity compensation -- something a robo-adviser wouldn't see if those holdings sit in separate accounts, Estes noted. Life changes such as marriage, divorce, children, job loss, or an inheritance require nimble financial adjustments that algorithms might struggle to accommodate. A human adviser can help clients navigate these transitions while managing the psychological aspects of investment decisions, like resisting the urge to panic-sell during big market downturns. For those just starting their investment journey, robo-advisors offer an accessible on-ramp. But it's important to know they have limitations and when to seek human expertise before an AI-powered decision made in the ether costs you more than the algorithm's modest fees could ever save. But as your investment goals get more ambitious and you have more assets to manage, getting holistic human advice that goes beyond investment picks is worth considering, Estes said. "I view AI solutions, to some extent, if they can do it well, as a compliment and not a threat to my business."
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Two-thirds of Americans now use generative AI tools like ChatGPT and Gemini for financial advice, from budgeting to investing. But as the robo-advisor market grows to $1.4 trillion, financial planners warn that AI lacks the emotional capacity and human judgment needed for complex money decisions. Data privacy concerns and algorithm transparency issues add to the risks.
Artificial intelligence has rapidly infiltrated personal finance, with 66% of Americans who have used generative AI tools like ChatGPT or Gemini now relying on them for AI financial advice, according to a September report by Intuit Credit Karma
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. The trend is even more pronounced among younger demographics, with 82% of Gen Z and millennials using these platforms for everything from budgeting to tax planning and investing1
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Source: Quartz
The appeal is understandable. AI-powered robo-advisors offer automated investing solutions at a fraction of the cost of traditional human advisors, allowing users to open accounts and start investing within minutes from their smartphones
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. The global robo-advisor market reached $1.4 trillion in value in 2024 and is projected to grow to $3.2 trillion by 2033, with key players including Betterment, Wealthfront, Charles Schwab, Vanguard, and SoFi2
.Despite the convenience, financial experts are raising alarms about what gets lost when algorithms replace human judgment. "GenAI is a powerful tool for learning, planning, and managing your money," said Courtney Alev, Intuit Credit Karma's consumer financial advocate. "However, finances are nuanced and deeply personal"
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.The risks of using AI for money advice extend beyond simple miscalculations. Kevin Estes, founder of Scaled Finance in Seattle, highlighted a fundamental limitation: "AI is very good at answering the questions that you ask; the challenge is that people may not know the right questions to ask"
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. This gap becomes critical during market downturns or life transitions when emotional support and nuanced guidance matter most.Financial planning encompasses far more than investing, Estes noted, including insurance, estate planning considerations, and saving for college expenses—elements that AI lacks emotional capacity to address comprehensively
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. Human advisors vs AI becomes a question of depth versus convenience.Ohan Kayikchyan, a certified financial planner in North Carolina, expressed particular worry about the lack of transparency in algorithms used by robo-advisors. "In many cases, they will not make their algorithms public," he said. "In many cases, it's like a black box; we don't know what is inside"
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.This opacity makes it difficult for investors to understand why certain stocks underperform or when market conditions shift. Unlike human advisors who can explain their reasoning and adjust strategies through nuanced conversations, AI-powered robo-advisors rely on standardized questionnaires that may oversimplify complex financial situations
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. Risk tolerance assessments, in particular, benefit from human intercession and communication that generative AI tools for financial advice cannot replicate.Related Stories
Data privacy concerns present another significant risk. "Oftentimes, in the fine print, they'll say, 'We share our information with our partners.' But who are they and who all has access to this personal information, this private information?" Estes questioned
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. With access to sensitive financial and personal information, these platforms present attractive targets for hackers and scammers.Kayikchyan pointed to the cautionary tale of 23andMe, which suffered a data breach compromising nearly 7 million customers' genetic data, resulting in a $30 million lawsuit settlement. The company's subsequent bankruptcy proceedings raised questions about what happens to user data when companies change hands
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. Many automated platforms operate under larger financial institutions, giving multiple divisions access to sensitive data for cross-selling and marketing purposes.As retirement investments and other critical financial decisions increasingly flow through AI systems, the short-term implications involve potential mismatches between algorithmic recommendations and individual circumstances. Long-term, the industry faces questions about accountability when AI risks materialize into actual financial losses during volatile periods.
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