Morgan Housel has sold 12 million books telling people that investing success comes down to behavior more than analysis. So when he sat down recently to talk about AI, you’d figure he’d lead with valuations or whether we’re in a bubble.
He didn’t. He opened with a warning about the people actually building the stuff. This came during a conversation with Brian Richards, senior vice president of Rule Breakers strategy, at a recent Motley Fool member event, an exchange that later ran on Motley Fool Money, recorded April 26.
“What’s very unique about AI historically, though, is that it’s the first new technology that the people making it promise that if they’re successful, they could destroy society,” Housel said.
Why AI’s own warnings make investors nervous
Think about how most new tech gets pitched. Pure upside, every time. The Industrial Revolution, radio in the 1920s, nuclear power in the ’50s, the internet in the ’90s, all of it sold on what it would make possible, not what it might break.
Nobody building those things stood up and said, by the way, this could wipe out half of white-collar America or get every government database hacked. AI is the first one where the people closest to it keep saying exactly that, out loud, repeatedly.
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Housel’s mind went to nuclear power as the closest comparison, and it’s a good one. Back in the 1950s the dream was small reactors in every town, fossil fuels basically retired. Didn’t happen. Not because the science didn’t work. Because the thing scared regulators enough that they buried it instead.
“We are, at a minimum, going to regulate it into the ground, if not outright ban it, as Germany and Austria have done,” he said, describing how the hopes for nuclear power played out.
AI has a wrinkle nuclear never dealt with, though.
“What’s different about AI, too, is how dispersed it can get globally,” Housel said. “If the U.S. regulators regulate everything, but there’s one model in China that could just spread out all over the world, and everyone can use it, it’s hard to put it back in the box relative to other technologies.”
The investing edge AI stocks can’t bring back
Ask Housel what AI changes for investors and he goes back 30 years to find his answer. Warren Buffett, sitting in an Omaha library in the 1960s, working through every page of Moody’s manuals by hand, hunting for stocks nobody else had bothered to price correctly. That kind of edge is just gone now.
“A kid in Africa has the same information that the people working at Goldman Sachs do,” he said. It echoes something he told CNBC last year, that the hard part of money was never really the math.
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What took its place was behavioral edge, the ability to stay calm while everyone around you panics, and Housel’s worry is that AI chatbots are eroding exactly that. His reasoning is pretty simple once you hear it. These tools behave a lot like social media, built to keep you scrolling and engaged rather than to tell you anything you don’t want to hear.
“If you were to upload your portfolio to ChatGPT and said, What do you think of this, it’s going to say you’re the most brilliant investor ever,” he said. “If it were to say, Hey, you’re an idiot, these are the worst of the worst companies, you would stop using it. The companies know that.”
It’s worse outside of finance too, honestly. Try asking a chatbot something detailed in a subject you genuinely know inside and out. You’ll notice how much of what comes back is just invented on the spot. Most people never run that test on anything, so they never catch it happening, and they walk away believing whatever they are told.
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Is AI a bubble? His honest answer
Richards brought up something Housel has written about for years, that bubbles were never really about valuation in the first place. They’re about narrative, about identity, about people who stop simply owning a stock and start being defined by it. So is AI one right now?
Housel wouldn’t give a clean yes or no. What he gave instead was an explanation for why the companies building AI are basically cornered into sounding hyperbolic, bubble or not.
The math behind it is brutal. Building this infrastructure costs trillions, and the chips powering it are obsolete inside 12 to 24 months. Try raising that kind of money repeatedly while pitching investors on “modest productivity gains.”
“They have to say this is the technology that ends all technology. There’s no other way that they can do it,” Housel said. Bubble or not, the financing alone forces the marketing to sound like one.
What Morgan Housel says investors keep missing
His last point wandered somewhere more personal than markets usually go. Housel doesn’t think AI replaces the kind of work that matters precisely because a human made it, and he used Shoe Dog, Phil Knight’s memoir about building Nike, to make the point.
That book wrecked him, in a good way, until he found out later it was ghostwritten. Knight never tried to hide that. Nothing about the actual text changed once Housel knew. But something about how it felt to read it did.
He brought up something similar with Google’s NotebookLM, the tool that spins up a custom AI podcast from whatever document you feed it. When it came out, Housel assumed it was basically the end of human-hosted podcasts. Two years on, he’s listened to exactly none of the AI-generated ones it made for him.
“I don’t want to listen to a bot describing it, even if it’s perfect and accurate and fluent,” he said. “I want to listen to the messiness of another human who’s actually experienced these things.”
None of this means he thinks AI stocks are doomed or that the whole thing is overhyped. What he’s actually saying is narrower, and harder to trade on. AI can be every bit as big as the true believers claim. People can still lose money owning it anyway. The size of a trend was never really what decided returns. Staying rational after everyone else has already made up their mind, that’s the part that does.
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