MIT Study Finds AI Financial Advice Lifts Savings, but User Gaps Cut Wealth by Up to 6%
Updated
Updated · MIT Sloan News · Jul 21
MIT Study Finds AI Financial Advice Lifts Savings, but User Gaps Cut Wealth by Up to 6%
2 articles · Updated · MIT Sloan News · Jul 21
Summary
1,000 adults’ prompts to GPT-5.2, GPT 5.6 and Gemini 3 Flash produced financial advice that generally improved lifetime saving, stock participation and age-appropriate risk-taking, with sizable buffers for most people over 30.
Structured “academic” prompts made the advice better by adding age, income, savings and economic assumptions, while the models still struggled with unemployment shocks and often failed to rebalance portfolios actively.
About 5% more wealth near retirement went to users whose prompts came from men, financially literate people or prior AI users; women and less literate users ended up roughly $50,000, or 4%, lower at age 60.
Users without prior AI experience fared worst because models recommended lower saving rates, leaving them nearly $100,000, or 6%, behind by age 60 in the simulations.
The paper suggests AI could widen access to cheap financial guidance while reshaping product discovery—Vanguard appeared in 6% of responses and iShares in 3.4% despite almost no prompts naming them.
As AI gives financial advice, is it closing the wealth gap or creating a new digital divide for investors?
If your AI financial advisor makes a costly mistake, who is legally responsible: you, the user, or the tech company?
From Chatbots to Agentic AI: How Artificial Intelligence Is Transforming Financial Advice and Deepening Disparities
Overview
Artificial intelligence is rapidly transforming the financial sector, with AI-powered tools now widely used for routine banking tasks like paying bills and transferring funds. This shift is especially popular among Millennials, who are most open to adopting AI assistants for managing their finances. By early 2026, many financial institutions and fintech companies have moved beyond pilot projects, actively scaling and integrating AI into their operations, while regulators are still catching up. As AI adoption accelerates, human oversight and accountability remain important to ensure trust and effective outcomes, highlighting both the opportunities and challenges of this technological evolution.