Artificial intelligence platforms are becoming sophisticated enough to replace human financial advisors, but they're missing one critical piece: a legal obligation to act in your best interest. Unlike licensed financial professionals, AI models have no fiduciary duty, meaning they face no legal consequences if their advice harms you. This regulatory gap is creating a risky situation where millions of people are already relying on AI for major financial decisions .

What Is Fiduciary Duty and Why Does It Matter?

A fiduciary duty is a legal obligation that financial advisors, lawyers, and doctors owe their clients. It means they must prioritize your interests over their own and can face serious consequences, including regulatory penalties, civil lawsuits, and even criminal charges if they violate that duty. This legal framework creates accountability .

"The problem that we have to solve is not whether AI has enough expertise. The answer right now is, clearly, AI has the financial expertise. What they don't have is that fiduciary duty," said Andrew Lo, finance professor and director of the Laboratory for Financial Engineering at MIT Sloan School of Management.

Andrew Lo, Finance Professor and Director of the Laboratory for Financial Engineering, MIT Sloan School of Management

Lo emphasized that without legal responsibility or liability, the concept of putting a client's interests first "has no teeth." AI systems, by contrast, cannot be sued, fined, or held criminally liable for bad financial advice .

How Many Americans Are Already Using AI for Money Decisions?

The adoption rate is staggering. According to an Intuit Credit Karma poll published in September, two-thirds of Americans, or 66 percent, who have used generative AI say they have used it for financial advice. The share jumps to 82 percent among millennials and Generation Z .

Even more concerning, about 85 percent of respondents who have used AI for financial advice actually acted on the recommendations provided. This means millions of people are making real money decisions based on advice from systems with no legal obligation to help them .

Major AI platforms are being used for this purpose, including OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini. Even Elon Musk's xAI platform, Grok, is being used for financial guidance. James Burnham, a legal and government affairs official at xAI, acknowledged the risk in a social media post in March, noting that Grok "is not tax advice so always confirm yourself too" .

Where Are AI Models Actually Weak With Money Advice?

Interestingly, AI's financial weaknesses don't match what you might expect. While these systems excel at explaining complex financial concepts, they struggle with the precise calculations that matter most for your personal situation .

• Calculation Errors: AI models are surprisingly weak at doing financial calculations, making them unreliable for tax planning, retirement projections, or any numbers-based financial questions specific to your household.
• False Confidence: One of the most dangerous traits of large language models (LLMs), which are AI systems trained on vast amounts of text data, is that they always sound authoritative, even when they're wrong. They don't signal uncertainty the way humans do.
• Personal Situation Analysis: When it comes to very specific calculations about your own financial situation, AI requires extreme caution. Double and triple checking answers is "really necessary," according to experts.

"When it comes to very, very specific calculations of your own personal situation, that's where you have to be very, very careful. One of the things about LLMs that I find particularly concerning is that no matter what you ask it, it'll always come back with an answer that sounds authoritative, even if it's not," explained Andrew Lo.

Andrew Lo, Finance Professor and Director of the Laboratory for Financial Engineering, MIT Sloan School of Management

What Can AI Actually Do Well for Your Finances?

AI isn't useless for financial planning; it just has specific, limited applications. The technology is "really good" at providing educational resources about financial concepts that typical people don't understand. For example, if you have basic questions about Medicare coverage or how retirement accounts work, AI can generally provide a reliable overview .

Lo suggested viewing AI as a tool for exploring options rather than making decisions. "I think that's the way that I would look at LLMs: They can be very, very useful in providing different options and in describing how those options might work, but you should always remember that the advice that they can give you could be wrong," he noted .

Is This a Regulatory Problem or a Corporate Problem?

The legal landscape is murky. Sebastian Benthall, a senior research fellow at New York University School of Law's Information Law Institute, described the situation as "really unresolved." He raised a critical question: "Who's really responsible, and can people really be relying on a product to do this if it's not being backed up by a corporation with a fiduciary duty?" .

The problem extends beyond AI. Not all human financial advisors are fiduciaries either. Stockbrokers, insurance agents, and other intermediaries may have different legal obligations depending on the type of advice they're giving. A recent example illustrates the gap: a U.S. Labor Department rule that would have required fiduciary duty for 401(k) rollover advice died after the Trump administration stopped defending it in court .

Benthall raised another concern specific to AI: since major AI companies are largely U.S.-based, if an AI system recommends that investors put retirement savings into U.S. stocks, that advice could be viewed as self-dealing, or a financial conflict of interest. However, AI companies currently don't receive compensation for their advice to retail investors, so they technically aren't fiduciaries under current law .

How to Use AI Safely for Financial Guidance

• Verify All Numbers: Never trust AI calculations related to your taxes, retirement projections, or personal financial math. Always confirm figures with a calculator or professional before acting on them.
• Use AI for Education, Not Decisions: Ask AI to explain financial concepts like how compound interest works or what a Roth IRA is. Use these explanations to understand your options, not to make final decisions.
• Consult a Licensed Professional: For any significant financial decision involving your household's specific situation, consult a human financial advisor who has a fiduciary duty to act in your best interest.
• Cross-Check Authoritative Answers: When AI provides an answer that sounds definitive, remember that it's designed to sound confident regardless of accuracy. Treat all AI financial advice as a starting point, not a conclusion.

The bottom line is that AI has become a financial advisor to millions of Americans, but the legal and regulatory framework hasn't caught up. Until fiduciary duty applies to AI systems, or until companies voluntarily accept that responsibility, users need to approach AI financial advice with significant caution .