AI financial advice is surprisingly good, especially if you ask right questions

一项最新研究显示，AI当理财顾问的表现出乎意料地靠谱，但它有个关键前提——你得会问问题。MIT商学院团队分析了AI给出的投资建议，发现它能劝人多存钱、分散投资，还会提醒你年龄越大越要降低风险，这些都是教科书级别的经典原则。不过AI的短板也很明显：遇到突然失业这类人生变故，它几乎不会主动建议你调整财务安排；对于投资组合的失衡，它也倾向于放任自流，而不是及时纠偏。更值得注意的是，不同身份背景的人提问，AI给出的答案会跑偏——性别、金融知识水平、是否熟悉AI，都会悄悄影响建议质量。这项研究给大家的实际启发是：用AI问理财问题，问得越具体、给的信息越充分，得到的建议就越有价值。但千万别把它当成全能管家，它不会主动替你操心突发状况。对于普通人来说，AI可以当个好参谋

Credit: aroz_design07 / Shutterstock Ideas Made to Matter Artificial Intelligence AI financial advice is surprisingly good — especially if you ask the right questions By Betsy Vereckey Jul 21, 2026 7 minute read Share What you’ll learn:AI financial advice encourages people to save more, diversify their investing, and take on less risk as they age.However, AI’s advice often fails to properly adjust to shocks like unemployment, and it allows portfolios to drift rather than actively rebalancing them.Differences in prompts can lead to variation in advice, based on gender, degree of financial literacy, and familiarity with using large language models. People are increasingly turning to artificial intelligence for financial advice, but will following it improve their financial standing? AI at WorkResearch and insights powering the intersection of AI and business, delivered monthly. Yes, I’d also like to subscribe to the Thinking Forward newsletter Email Leave this field blank “Half of Americans say they are using AI to get financial advice, but we know very little about what kind of advice they’re getting and whether they’re acting on it,” said Taha Choukhmane, an assistant professor of finance at the MIT Sloan School of Management and co-author of a new paper that measures and analyzes the quality of financial advice given by large language models.Research by Choukhmane and co-authors showed that following AI recommendations can result in sizable saving buffers for virtually all individuals above age 30.AI consistently advised people to save during their working years, draw down savings in retirement, invest heavily in diversified stock funds, and reduce stock exposure after age 45. However, AI chatbots were less successful in adjusting to shocks like unemployment, and they allowed portfolios to drift rather than actively rebalancing them.The quality of financial advice given by LLMs improved when the researchers introduced more structured prompts, but the AI still often generated too little active portfolio rebalancing. How the study was conductedThe researchers built a model reflecting how people’s incomes, jobs, investments, and taxes typically evolve over their lives, which gave them a benchmark for what “good” financial decisions look like. Then they asked a sample of 1,000 adults to write their own prompts seeking spending and investing advice from GPT-5.2, GPT-5.6, or Gemini 3 Flash. Next, they simulated what would happen