A new survey reveals AI tools are increasingly used for financial decisions but often lack the nuance needed for personalised advice, emphasising the importance of context and judgement.
Generative AI is becoming a routine stop for money questions, but its value depends heavily on how it is used. A recent JD Power survey of 4,000 consumers found that 40% had turned to an AI tool for personal financial help in the previous three months, most often for price comparisons, finding discounts and identifying ways to save or earn more. Yet only 27% said the help was somewhat or significantly useful, suggesting enthusiasm is running ahead of reliability. JD Power said younger adults were especially likely to seek guidance outside banks, with friends, family and social media still widely used as well.
Researchers at MIT Sloan say AI can be surprisingly competent when the question is broad and the goal is long-term, basic decision-making. In work cited by NPR, Taha Choukhmane said the technology often gets the big picture right, including the value of investing and building savings. But the same research found that when the problem becomes more nuanced, such as rebalancing a portfolio or reacting to a layoff, the model’s answers can drift towards being either too cautious or too aggressive. In one case, the advice also differed by gender, underlining that the tool’s output can be only as sound as the prompt it receives.
That limitation matters because AI can sound confident even when it lacks the context needed to give good guidance. Danielle Harrison, founder of Harrison Financial Planning, told NPR that a chatbot initially pushed one business structure and then changed course over the course of the same conversation. Her point was straightforward: without background knowledge, a user can be nudged into a bad decision while believing the answer has been settled. Stanford Graduate School of Business has reached a similar conclusion, saying AI can be useful for low-cost advice but that its quality rises when users ask clear, specific questions and provide more detail.
For consumers, the practical lesson is not to avoid AI altogether but to treat it as a starting point rather than a substitute for judgement. MIT Sloan’s research suggests the tools can help with broad habits such as saving more consistently and investing in diversified funds, and a separate working paper on AI financial advice found similar benefits when the system is given enough information. The gap appears when users want personalised guidance but supply too little context. In those cases, the chatbot may sound helpful while still missing the facts that matter most.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
