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Can AI Pick Stocks? Why the Wisdom of the Market Beats AI

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Can AI Pick Stocks? Why the Wisdom of the Market Beats AI

Jul 1, 2023

Key Takeaways:

  • AI can’t reliably pick stocks better than the market, because market prices already reflect the collective intelligence and all available information from millions of participants.
  • Large language models like ChatGPT can create scenarios but can’t fully account for real-world, unpredictable changes—making them less reliable for setting prices.

  • History shows it’s hard for anyone, including AI, to consistently beat the market after fees—buying the market remains a proven long-term strategy.

Can AI Pick Stocks?

Can artificial intelligence help pick stocks? More specifically, can investors use AI to determine the fair price of a stock or a bond? We bet a lot of people right now would say yes, given recent advances that allow for the processing of ever greater amounts of information.

We think our AI is better than all the other ones out there. Our AI is the market.

For example, pick a stock. Check the price. Why is it that exact price? Because an equal number of buyers and sellers think they are getting a good deal when they sell or buy it at exactly that time. They make those judgments using every piece of information available to them, both public and private. The market is the world’s largest information processing machine, which creates a price for every publicly traded stock and bond.

These prices are set in an environment where no one knows what’s going to happen. So, in that sense it is a giant model that is humanity’s best and constantly evolving guess of how each company stock or bond will perform.

Trust Market Prices Rather than Algorithms

Despite all the promise of AI, we prefer to accept market prices rather than prices from algorithms. Large language models, the types of AI that power tools such as ChatGPT, are intended to generate text that seems as if it were made by humans, not to predict future outcomes.

AI Doesn’t Account for Real-World Changes

They can generate potential scenarios based on learned patterns, but they struggle to account for unknown factors or real-world changes that come outside their training data. In that way, they are truly “artificial,” while markets are composed of real, human intelligence and the millions of judgments market participants make.

Sure, AI and algorithmic trading can help the execution of trades. But there’s no reason to think that AI will fundamentally influence the way people think about stock prices anytime soon.

The market is fantastically complex, so much so that no one knows exactly how much a particular piece of information impacts a price, because there are so many other simultaneous inputs. But the market ensures that a price is the most accurate current representation of the value of a stock or bond. It’s free and available to all. How great is that?

Evidence of Market Accuracy

This isn’t just our opinion. There’s plenty of evidence to support it. In fact, it’s a 50-year-old theory that only becomes more proven with each passing year. Google “efficient market hypothesis.” Better yet, ask ChatGPT to explain it.

Still don’t believe us? Then let’s ask another question: Do you think you can hire a manager to implement the strategy of using AI to pick stocks that consistently beat the market? After fees, probably not. If they had some cool AI that did predict stock prices better than the market can, why would they share the information with you?

What’s the takeaway? You can have a good experience without worrying about all that stuff. Based on nearly a century’s worth of data, the stock market has returned about 10 percent a year, which is 7 percent above historical inflation. That was true before and after computers, before and after the internet, and even before and after the Second World War. It makes sense to me that it will continue to be the case after AI.

Because our AI is “aggregate intelligence,” which includes artificial intelligence and betters it.

To be clear, we celebrate the innovation that this moment may represent. As we have collectively witnessed over and over during the past few decades, many players will try to take advantage of the newest advance in technology to improve their company and also to build new ones. By buying the market, you can have a piece of all the publicly traded companies.

And if we still haven’t convinced you, we asked ChatGPT, “Is it safer to trust the market price mechanism than rely on an AI model to find mispricing in stocks and bonds?”

AI Tells Us to Trust the Market Price Mechanism

Here’s what we got back the day we asked: “It is generally safer to trust the market price mechanism than to rely on an AI model to find mispricings in stocks and bonds. The market price mechanism is based on the collective actions of all market participants and incorporates all available information into asset prices. As a result, it is difficult for any single investor or AI model to consistently outperform the market by identifying mispricings.”

So if you don’t trust us, trust the AI that is telling you not to trust AI over the market.

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John, a New Hope, Pennsylvania native, is the Founder and CEO of Rockwood Wealth Management. A former nuclear engineer, he is committed to the development and growth of conflict-free comprehensive financial planning and investment management. John values a client-centric practice and unwavering integrity in all of our endeavors as stewards of our clients' best interests.

Disclaimer

Rockwood Wealth Management, LLC (RWM), a Pennsylvania limited liability company, is a fee‐only wealth advisory firm specializing in personal financial planning and investment management. Rockwood Wealth Management, LLC, is a US Securities and Exchange Commission (SEC) Registered Investment Advisor. A copy of RWM’s Form ADV‐Part II is provided to all clients and prospective clients and is available for review by contacting the firm. Indices are not available for direct investment; therefore, their performance does not reflect the expenses associated with the management of an actual portfolio. Past performance is not a guarantee of future results.