MIT Expert Identifies Critical Gap in AI Financial Advice: Fiduciary Duty
Artificial intelligence can match human expertise in financial knowledge, but it lacks the legal obligation to act in a client's best interest - a gap that regulators and experts say poses real risks.
Andrew Lo, finance professor and director of the Laboratory for Financial Engineering at MIT Sloan School of Management, told CNBC on Monday that the core problem isn't AI's competence. "The answer right now is, clearly, AI has the [financial] expertise," Lo said.
The missing piece is fiduciary duty. Human financial advisors who breach this obligation face regulatory penalties, civil liability, and criminal charges. AI systems have no such accountability mechanism.
"They don't have the ability to suffer consequences if they make a mistake to the same degree that a human advisor does," Lo said. Without legal responsibility, the principle of putting client interests first "has no teeth."
Sebastian Benthall, senior research fellow at New York University's Information Law Institute, flagged a broader regulatory question: Who bears responsibility when consumers rely on AI for financial decisions that lack corporate backing or fiduciary protections?
"It's really unresolved," Benthall said.
Where AI Works in Finance
Lo acknowledged legitimate uses. AI excels at explaining financial concepts most people struggle to understand - Medicare eligibility rules, for example - through online resources.
But consumer demand is pushing beyond education. Research shows 62% of Generation Z consumers surveyed are open to using AI for "what if" financial planning scenarios. More broadly, 54% of U.S. adults now turn to AI for personal tasks, with the typical user relying on two to three different tools.
Among frequent AI users, over 60% access it primarily through smartphone apps. This shift from occasional experimentation to daily habit expands the risk surface. "Every additional touchpoint where consumers engage with AI expands the surface area where AI can trigger or influence a financial outcome," according to recent analysis.
Finance professionals should understand these limitations as AI tools become standard in client interactions and internal workflows. For deeper context on AI's role in financial services, see AI for Finance or explore the AI Learning Path for CFOs.
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