# Americans Are Asking AI for Money Advice — They Just Don’t Trust It Much Yet

By Rafiqul Islam Rabbi · AI · Published Fri, 07 Aug 2026 19:19:13 GMT · Updated Sat, 08 Aug 2026 01:19:13 GMT
Source: The Current Tribune — https://currenttribune.com/article/gallup-ai-financial-advice-trust

Americans are slowly inviting artificial intelligence into their wallets. They’re just not ready to hand over the keys.

A new Gallup poll on AI financial advice shows a clear tension: people are experimenting with AI tools for money questions, yet overall trust in those tools remains strikingly low. The result is a weird split-screen moment for personal finance, where AI is becoming part of the toolkit but not the primary voice in anyone’s portfolio.

## AI is in the mix for money advice — but barely

The survey, conducted in the spring among U.S. adults 21 and older, found that about one in five Americans who sought financial advice in the past year turned to an AI tool. That’s not nothing. It means AI has already joined the same category as budget apps, robo-advisors, and finance YouTube channels: something you at least try when you’re figuring out your money.

But when Gallup zoomed out to ask all adults how much they trust AI’s expertise for managing money, the confidence just wasn’t there. Only about three in 10 said they have “a great deal” or “some” confidence in AI for financial guidance. Within that, a tiny sliver — just 3% — said they trust AI “a great deal.”

In other words, AI is being used, but it’s not really being believed. It’s like asking a smart acquaintance for their take on the stock market: you’ll listen, but you’re probably still double-checking everything afterward.

## AI financial advice vs. humans: a trust gap

The same poll shows a very different picture when humans are involved. About eight in 10 U.S. adults say they have at least “some” confidence in professional financial advisers. That’s a huge gap in trust compared with AI, even as more tools promise automated retirement plans, tax strategies, and investment tips at the tap of a screen.

But here’s the twist: despite that trust, Americans don’t actually turn to professionals all that often. Only about one-third of people who sought financial advice in the past year actually worked with a financial adviser.

Instead, most are going it alone with a browser search bar. A full 73% said they relied on their own internet research when they needed guidance. That means the real competition for AI-powered advice right now isn’t Wall Street — it’s search engines, blogs, TikTok finance creators, and Reddit threads.

So you have three overlapping realities:

- Financial advisers are the most trusted source — but the least used.

- Internet research is the most used source — but trust is fuzzy and inconsistent.

- AI is used by a minority — and trusted even less.

AI is, at least for now, a supporting character in a financial advice ecosystem still dominated by human professionals and DIY research.

## Why Americans hesitate to trust AI with their finances

Low trust in AI for financial advice isn’t just about fear of new technology. Money decisions are deeply personal, and bad guidance can have real, long-term consequences — especially around investing, retirement savings, debt payoff, or taxes.

Financial experts argue that this is exactly where caution is appropriate. AI tools are trained on massive troves of data and can be excellent at explaining basic concepts or surfacing general strategies. But they don’t inherently understand your specific situation, your risk tolerance, your family obligations, or your emotional reactions to volatility. And they can be confidently wrong in ways that are hard for non-experts to spot.

That’s why many advisers and academics say the safest way to use AI right now is as a starting point, not a final say.

## How experts say to use AI for financial advice

Think of AI not as a robo–financial planner but as a very fast, reasonably informed explainer. That’s where it shines.

One finance researcher suggests using AI at the start of a “learning journey” — to ask what the stock market is, how compound interest works, or what makes a mutual fund different from an ETF. From there, you can take those baseline explanations and cross-check them against more traditional resources: reputable websites, books, and, if you have access, a human financial adviser.

Used this way, AI becomes a kind of interactive textbook:

- You ask it to define terms in plain language.

- You request examples to clarify how certain strategies work.

- You generate lists of questions to ask a professional adviser later.

The key is where you draw the line. Experts warn against relying solely on AI for personalized recommendations about what to buy, sell, or change in your retirement plan. AI doesn’t have a fiduciary duty, it doesn’t face consequences if it gives you bad advice, and it might not be fully up to date on regulations or tax law.

For now, the safest setup looks like this: AI for education and orientation, humans and vetted tools for execution and strategy.

## Why people still pick Google over advisers — and where AI fits

The Gallup numbers also highlight a quieter problem in the U.S. financial system: access and affordability. If eight in 10 adults trust financial advisers but only a third of those who sought advice actually used one, cost and availability are probably part of the story.

Many advisers prioritize clients with higher assets. Others charge hourly or flat planning fees that can feel intimidating if you’re already stressed about money. In contrast, “researching online” feels free, anonymous, and immediate. That helps explain why nearly three-quarters of advice seekers leaned on their own internet research — even if they would have preferred a human expert in a perfect world.

That’s also the space where AI financial advice tools are trying to wedge themselves in. Chatbots and AI-driven planning apps promise something like a middle ground: more tailored than a generic blog post, more available than a busy human adviser, and cheaper than a bespoke financial plan.

But as this survey shows, they haven’t yet cleared the trust bar.

Until AI can demonstrate reliability over time — and until guardrails and regulations catch up — many people will treat these tools as experimental helpers rather than decision-makers.

![Person reviewing AI financial advice on a laptop while checking numbers in a spreadsheet](/media/2026/08/gallup-ai-financial-advice-trust-inline.webp)
*Many Americans treat AI financial advice as a second opinion rather than a final answer. (Photo: Wolfgang Staudt / BY via Openverse)*

## The risk of over-trusting AI with your money

For those one in five advice seekers already using AI for financial guidance, the bigger danger isn’t asking the question. It’s not knowing where AI’s limits are.

AI models don’t see your full financial picture unless you share it — and even then, they may not interpret it with the nuance a professional would. They can gloss over critical details like employer plan rules, specific loan terms, or state-level tax quirks. They can sound convincing while misreading the question or missing a key constraint you forgot to mention.

There’s also a subtle behavioral risk. When a chatbot responds instantly, in polished language, some users may read that fluency as expertise. That’s especially tempting if you already feel overwhelmed or ashamed about money and are reluctant to talk to another person about it.

Experts recommend keeping a few hard boundaries when using AI for personal finance:

- Don’t execute major financial moves — like rolling over retirement accounts, dramatically changing investment allocations, or taking on new debt — based solely on AI output.

- Use AI to generate questions you’ll verify with a human adviser or reliable source, not as a rubber stamp for action.

- Double-check any tax-related output against official IRS information or a tax professional.

- Be careful about sharing sensitive personal information, especially account numbers or full financial histories.

In other words, treat AI like an informed stranger giving you a second opinion, not the person signing off on your financial plan.

## What could shift trust in AI financial advice

The trust gap won’t necessarily last forever. As AI systems evolve and regulators pay closer attention to AI in financial services, a few things could move those Gallup numbers:

- **Clearer disclosures:** Tools that state plainly what they can and can’t do — and where their information comes from — are easier to trust than black boxes.

- **Better integration with human advisers:** Hybrid models, where AI handles education and calculations and humans handle judgment calls, could feel safer to more users.

- **Audited performance:** If independent bodies start evaluating AI financial guidance the way they evaluate funds or advisers, long-term track records could either build or erode trust.

- **Stronger consumer protections:** Guardrails around misleading AI advice, data use, and conflicts of interest would give people more confidence that they’re not being quietly steered into bad choices.

For now, the reality is more modest: AI is good enough that one in five advice seekers have tried it, but not nearly good enough for most Americans to trust it with their savings.

## What This Means

The Gallup survey captures a moment where AI is threaded into daily life — showing up in search results, banking apps, and chatbots — yet still feels unproven when real money is on the line.

If you’re curious about AI financial advice, the safest move is to treat it as a learning aid. Use it to decode jargon, compare general strategies, and get a sense of what questions to ask next. Then bring those questions to more trusted sources: a professional adviser if you have one, or at least thorough, reputable research.

AI might eventually become a more central financial planning tool. Right now, it’s more like a smart first draft. The judgment, skepticism, and final decisions still need to come from you — or from a human whose interests are aligned with your own.

*Photo: Thomas Hawk / BY-NC via Openverse | Photo: Wolfgang Staudt / BY via Openverse*