AI wants the keys to your portfolio

Editor’s note: This article first appeared in Money Matters, a newsletter from Britannica Money, on June 24, 2026.

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AI is moving from research assistant to decision-maker.

© tapui, breakermaximus/stock.adobe.com; Photo illustration Encyclopædia Britannica, Inc.

If you’ve used an artificial intelligence tool to research a stock, compare mutual funds, or find the key points buried in an earnings report, you’ve probably noticed that it’s fast. Like, really fast. Pose a question, and within seconds it will have sorted through information that might have taken you hours to scour on your own.

But AI is moving quickly beyond research and suggestions to making investment decisions for you. If the thought of having a virtual brain in the cloud managing your portfolio or carrying out trades sends a shiver up your spine, chances are you’re in good company. Research is one thing; letting software make decisions about your money is something else entirely.

The first generation of AI investing tools mostly stayed in the research lane. The technology could help investors find information, compare investments, summarize earnings reports, and screen stocks, but human beings made the final decisions.

Now the technology is moving a step further. Some AI-powered tools can build portfolios, rebalance holdings, and carry out trading strategies with limited human involvement. Investors have been outsourcing some investing tasks for years through robo-advisors, which use algorithms to build and manage portfolios automatically. The newest generation of AI tools go even further by analyzing information, generating recommendations, and making decisions in real time.

In other words, AI is starting to move from the passenger seat to the driver’s seat. That shift is happening because AI excels at a few things investors often struggle with. It can process enormous amounts of information, monitor markets continuously, and react without fear, greed, or second-guessing. For investors who worry about making emotional decisions, that can sound appealing.

But investing isn’t just a data problem. It’s also a judgment problem. And that’s where it gets more complicated.

AI has become remarkably good at finding information and spotting patterns, but it’s also capable of making mistakes. If you’ve spent time with a chatbot, you’ve likely gotten an answer that sounded convincing but turned out to be wrong.

AI-generated information can be inaccurate, incomplete, or simply out of date. In some cases, AI systems can even invent details that appear plausible but have no basis in fact. And unlike a human financial advisor, they can’t explain their reasoning in a way that always reflects what actually happened behind the scenes.

AI often presents information with the same confidence whether it’s right or wrong. That’s why many investors stop short of letting it make decisions on their behalf, even if they’re comfortable using AI as a research tool. A bad recommendation may make you wince, but an automated trade based on faulty information can cost you real money.

AI-powered investing tools are becoming more common, but that doesn’t mean you have to embrace them. If you’re considering using them, these guidelines can help:

Used thoughtfully, AI can be a valuable investing assistant. Whether you’re comfortable handing it the keys to your portfolio is another question entirely.