07/30/2026
It's been about 20 years since computers have been able to beat world champion humans at chess.1 The machines use a brute force strategy where they analyze millions of possible outcomes for each move on the board. Even the cleverest person can't keep track of that many options, let alone run through all those scenarios in the time allotted for a match.
And those chess programs haven't been using Artificial Intelligence. Our current iterations of AI now offer even more advanced analytical capabilities, which should make them even better suited to predict future scenarios.
Naturally, many investors are now trying to use AI to try to help them make market-beating investments. They believe they can just ask ChatGPT which stocks are about to go up, and then buy them ahead of time.
Unfortunately, the stock market is simply too complex to predict, even for AI.
At any given moment, millions of investors are making trades based on an incalculable number of factors. On top of this are the hard-to-measure motivations that drive economic decision making. In all, you have vastly more inputs than the latest supercomputer could possibly analyze.
David Booth, writing in the Financial Times, observes that that the information available to AI is a subset of all available information. In other words, AI models have less to go on than human analysts. Therefore, it's not reasonable to expect an AI bot to attain greater insight.2
One of the problems with trying to predict the market using the brute-force method that works for chess is that there's no way to predict what level of influence any given piece of data will have.
Booth says, "The market is fantastically complex. So much so that no one knows how much a particular piece of information impacts a price, because there are so many other simultaneous inputs."
He also points out that even if someone did have an AI capable of predicting the market, they would not make it available for public use.
But just because AI can't function as a crystal ball for the market doesn't mean it's not useful for aspects of financial planning—things like analyzing portfolios and exploring possible retirement scenarios.
However, AI models used for this must be specifically trained for these applications and then safeguarded to make sure they don't divulge sensitive information (both risks with using generally available models for financial advice).
Your trusted advisor has created a plan designed to take into account your unique financial situation, including your ability to save and your projected needs in retirement. He or she is helping to implement your diversified investment strategy to take advantage of the power of global markets, including potential gains created by AI innovation.