DIY Investors and AI: How Americans Really Use It

Ask a self-directed investor how they research a stock in 2024 and you’ll increasingly hear the same answer: they typed a question into a chatbot. The rise of tools like ChatGPT, Gemini, and a wave of finance-specific AI assistants has changed how everyday Americans approach their portfolios. But there’s a big gap between using AI for ideas and actually letting it make decisions. Here’s what’s really happening.

Yes, Americans are using AI — but mostly as a research assistant

Surveys over the past year consistently point the same direction. A meaningful share of retail investors — often cited in the 30% to 50% range depending on the poll and age group — say they’ve used an AI tool for some part of their investing process. Younger investors lead by a wide margin. Someone under 35 is far more likely to have asked an AI to explain an ETF or summarize an earnings report than a retiree who’s been buying index funds for decades.

The key nuance: most of this usage is informational, not transactional. People are using AI to understand, not to autopilot their money. The typical pattern looks like this:

• Explaining concepts — “What’s the difference between a Roth and traditional IRA?” or “How does a bond ladder work?”
• Summarizing information — condensing a long 10-K, earnings call, or analyst report into a few readable paragraphs.
• Comparing options — weighing two similar index funds, or roughing out asset allocation ideas.
• Sanity-checking a plan — running their own reasoning past the AI before acting.
• Screening ideas — generating a starting list of companies or sectors to research further.

Fewer people are handing over actual buy-and-sell authority. That distinction matters, because the tools are genuinely good at the first job and genuinely risky at the second.

Why AI appeals to the DIY crowd

The draw is obvious once you’ve used it. A good AI assistant is available at midnight, doesn’t charge by the hour, and translates dense financial jargon into plain English on demand. For someone who felt shut out of investing because it seemed complicated, that’s a real lowering of the barrier.

It also speeds up the boring parts. Reading three annual reports used to take an afternoon; getting a solid summary now takes minutes. That leaves more time for the judgment calls a person actually needs to make.

Where AI genuinely earns its keep

AI is strongest when the task is about understanding and organizing, not predicting. It’s reliable for defining terms, outlining strategies, drafting a budget framework around your goals, and explaining the trade-offs between choices you’re already considering. Used this way, it functions like a patient tutor.

The dangerous part: asking AI what to buy

Problems start when investors treat a chatbot like a fortune teller. There are a few specific traps worth naming.

• Stale data. Many general AI tools don’t have live market prices or the latest news unless they’re explicitly connected to real-time sources. An answer about a stock’s valuation could be months out of date.
• Confident hallucinations. AI can invent financial figures, misstate a company’s earnings, or cite a fund that doesn’t exist — and it will say it with total confidence.
• No accountability. A licensed advisor has a fiduciary or suitability duty. A chatbot has terms of service. If it’s wrong, the loss is entirely yours.
• It doesn’t know you. Good advice depends on your age, income, tax situation, debt, and risk tolerance. A generic prompt gets generic output.
• Herd behavior at scale. If millions of people ask the same tool the same question, they may crowd into the same trades — amplifying volatility.

Regulators have taken notice. The SEC has repeatedly warned about “AI washing” — firms overstating their AI capabilities — and about the conflicts that arise when an AI tool is quietly optimized to sell you products rather than serve you.

A sensible way to use AI as a DIY investor

You don’t have to choose between ignoring these tools and worshipping them. The middle path is to use AI for leverage while keeping the decisions human.

• Use it to learn, not to be told. Ask it to explain a strategy and its downsides, then form your own view.
• Verify every number. Cross-check any price, yield, or earnings figure against a primary source like the company filing or your brokerage.
• Give it real context. Feed it your goals, timeline, and constraints so the reasoning at least fits your situation — but never share sensitive account credentials.
• Ask it to argue against you. “What’s the strongest case that this investment is a bad idea?” often produces more value than a bullish summary.
• Keep the final click yours. Let the tool inform the decision; don’t let it execute the trade unsupervised.

The bottom line

Americans are absolutely using AI in their investing lives, and the trend is only accelerating with younger, self-directed investors. But the honest picture is more measured than the hype. Most people are using it as a research assistant and translator — jobs it does well — rather than as an oracle that picks their portfolio.

That’s actually the smart way to do it. The investors who benefit most treat AI as a fast, tireless intern: great for gathering, summarizing, and explaining, but never the one signing off on where the money goes. Keep the tool close and your skepticism closer, and it becomes a genuine advantage rather than a liability.