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SpaceX stock keeps falling, but Jim Cramer says buy it for your kids: why now?

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SpaceX stock keeps falling, but Jim Cramer says buy it for your kids: why now?

SpaceX stock (NASDAQ: SPCX) is down nearly 50% from its June peak as investors question the scale of Elon Musk’s planned spend on artificial-intelligence infrastructure. Despite the drawdown, Jim Cramer is urging investors to consider buying the battered recent IPO for long-duration holders (e.g., children) who may not need the money for decades.

Analysis

The selloff looks more like a duration/positioning event than a clean fundamental reset. In private marks, investors tend to discount any company with visible AI capex because the market cannot underwrite payback with the same confidence as a public earnings stream; that creates an opportunity for secondary sellers, but it also means the discount can overshoot if the spend is tied to operating leverage rather than vanity infrastructure.

The first-order beneficiaries are the AI hardware and power stack, not the company itself: NVDA, AMD, ANET, VRT, DELL, ETN and other data-center enablers get the incremental dollars if this spend is real. Second-order, tighter GPU and power availability can actually hurt smaller AI software names that depend on cheap inference capacity, while large incumbents benefit from priority access and better supply terms. If the market is simply marking down every AI-adjacent private name, that is a sentiment spillover, not a read-through on unit economics.

The key risk is time horizon mismatch. Over the next 1-3 months, the stock can stay weak if there is no explicit financing or ROI disclosure, because private-market investors hate uncertainty around dilution and cash burn; over 6-18 months, the question is whether AI spending improves launch cadence, network efficiency, or customer economics enough to justify the reinvestment. The contrarian view is that consensus may be underestimating the strategic optionality of owning compute capacity before it is scarce, especially if it reduces future vendor dependence and supports a broader platform narrative. What would falsify that view is evidence that AI capex is funded by increasingly punitive private rounds or that operating metrics fail to improve despite the spend.

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