The AI Bubble’s Dirty Little Secret: When Cheap Valuations Are Actually a Red Flag

Here’s a plot twist nobody saw coming: cheap stock prices might actually be *bad news*.

Sounds backwards, right? Usually when a hot stock trades at a reasonable valuation, investors treat it like finding a designer handbag at a thrift store. But Tom Essaye from Sevens Report Research just dropped a reality check that’s worth paying attention to—especially if you’ve been loading up on AI darlings.

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  • The premise is simple but unsettling: when AI stocks are trading at surprisingly low valuations despite all the hype, it’s not because Wall Street suddenly got humble. It’s because investors are quietly freaking out that the whole data center boom might be a house of cards.

    Think about it. Growth stocks usually command premium valuations because everyone’s betting on massive future earnings. So when those same stocks are trading cheap? That’s code for “we don’t actually believe the money will show up.” It’s like buying a lottery ticket at a discount—the discount exists for a reason.

    Essaye pointed to four stocks that tell this story perfectly. Nvidia’s sitting at a 21x forward PE (basically in line with the broader market). Broadcom’s at 24x. But here’s where it gets weird: Micron is at just 10x, and SanDisk is at 14x—despite being up 770% and 4,490% respectively over the last year. That’s not a bargain. That’s a warning label.

    The fear, according to Essaye, is straightforward: what if the AI buildout doesn’t actually pay off? What if Google decides building 10 new data centers isn’t worth the money? Suddenly, Nvidia, Micron, Broadcom, and SanDisk don’t have customers anymore. Their chips, memory, and networking gear become expensive paperweights. The whole supply chain collapses.

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  • It’s happened before. Remember the dot-com bubble? Same playbook. Everyone was obsessed with the internet, companies were spending like drunken sailors on infrastructure, and then… nothing. The connections existed, but they weren’t profitable. The buildout stopped. The stocks got obliterated.

    “This is exactly how the dot-com bubble burst,” Essaye wrote, and honestly, it’s hard to argue with him.

    The recent Oracle bloodbath—down 25% since June 1st after dumping billions into AI infrastructure—is basically Exhibit A. The market’s starting to wonder if these companies are throwing good money after bad.

    Now, Essaye isn’t necessarily saying the sky is falling tomorrow. This fear has been floating around for months without triggering an apocalypse. But the fact that it’s *possible*—that the conditions are eerily similar to 2000—should make you think twice before assuming every dip in an AI stock is a buying opportunity.

    The real question: are we in the early innings of an AI revolution that’ll reshape the economy? Or are we watching a repeat of history, where everyone got drunk on the same idea at the same time? The cheap valuations suggest the market’s starting to hedge its bets. Smart money might want to do the same.

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