Observed Signal · Apr 20, 2026 · Guidance / Best Practices · Source: t3n · Impact: 1/5 · Sentiment: Neutral
MIT Professor: How to Prompt ChatGPT for Finance
MIT professor Andrew Lo says AI chatbots (ChatGPT, Gemini, Claude) can provide valid personal finance guidance but the usefulness of their answers depends heavily on prompt quality. Citing an Intuit CreditKarma survey (Fall 2025) the article notes broad consumer use of generative AI for financial advice—two thirds of U.S. users overall and over 80% for Millennials/Gen Z—and that ~85% of users acted on chatbot recommendations. Lo recommends detailed prompts that include goals, constraints, tax bracket, residence, assets, timelines and risk tolerance, and that users ask the model to list missing information and express uncertainty. The piece warns about hallucinations and limits of model calculations and urges verifying sources and re-running prompts.
Practical guidance on prompting LLM chatbots affects conversational-AI output quality and user trust but has limited direct impact on core AdTech/MarTech operations.
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Key Takeaways & Evidence Grounding
- Two thirds of U.S. generative-AI users have used tools for financial advice; among Millennials and Gen Z the share exceeds 80% (Intuit CreditKarma, Fall 2025).
- About 85% of people who asked AI chatbots (ChatGPT, Gemini, Claude) for finance advice implemented the suggestions (Intuit CreditKarma survey).
- Andrew Lo, Director of the MIT Laboratory for Financial Engineering, says AI tools can provide valid financial tips but response quality depends on prompt detail.
- Recommended prompt elements include: goals, constraints, tax bracket, residence, assets, timelines, risk tolerance, requests for missing information, and explicit role assignment (e.g., act as financial/advisor).
- The article warns that AI hallucinations and calculation limits can distort financial recommendations and advises verifying sources and rerunning prompts.
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MIT Professor: Write Specific Prompts for Financial AI Advice
Millions use AI chatbots such as ChatGPT, Gemini and Claude for financial advice, but the quality of recommendations depends heavily on prompt design, MIT professor Andrew Lo says. Citing an Intuit Creditkarma survey (Fall 2025), the article reports that two-thirds of U.S. generative-AI users have asked such tools for finance help (over 80% among Millennials and Gen Z) and that about 85% of users implemented the chatbots' advice. Lo recommends prompts include concrete personal details — goals, constraints, tax bracket, residence, assets, timelines, and risk tolerance — and to request identified missing information and uncertainty estimates. He also advises assigning the AI the role of a financial/advisory professional and warns users to verify outputs because hallucinations and calculation limits can distort recommendations. t3n conducted an experiment on using ChatGPT for portfolio creation.
Study: AI Chatbots Give Wrong Financial Answers in 57% of Cases
A study by technology company Saturn found that popular AI chatbots including ChatGPT, Claude, Copilot, Grok, and Gemini provide incorrect financial answers in 57% of cases on average. The error rate spikes to 88% for complex questions requiring multiple calculation steps, with some models failing 99% of the time. The best performer, Claude Opus 5 in reasoning mode, still erred in 39% of responses. The study, involving over 100 financial questions, revealed calculation errors, outdated tax information, and hallucinated rules. For example, Claude Haiku 4.5 incorrectly stated a UK saver could owe £17,500 in taxes, and another model invented a rule about student loan repayment suspension when moving abroad. Saturn's CEO Amal Jolly warned that millions of people risk significant financial losses by trusting these AI models.
Gen Z trusts AI chatbots for finance — risks noted
OpenAI has allowed ChatGPT users to link bank accounts since May 2026, and surveys show Generation Z is increasingly turning to AI chatbots for financial advice. An Opinium survey cited by TechRadar found about 80% of Gen Z who deal with financial questions use AI for advice, and 58% receive concrete investment recommendations from chatbots. German Bitkom polling shows similar patterns. Respondents cite free access, speed and convenience as reasons for use, and younger users often feel more comfortable asking a chatbot than a person. Experts warn of risks including hallucinations and unreliable sources; Bitkom president Ralf Wintergerst calls for transparency, security, and traceability in AI financial applications. A mid-July 2026 Barclays study also found younger Brits deposit into investment accounts far more frequently than older cohorts.
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