Just 4 "Magnificent Seven" Stocks Are Still More Valuable Than SpaceX. Could SpaceX Be a Better Buy Than All of Them?

The article argues Alphabet and Nvidia may be better long-term buys than SpaceX, highlighting Alphabet’s estimated 6% stake in SpaceX, $920 million per month in AI compute leasing, and Alphabet’s 26.3 forward P/E versus Nvidia’s 23.2. It also notes SpaceX’s orbital AI data center plans could become a major demand driver for Nvidia hardware, while Microsoft and Apple are framed as more mature, lower-growth alternatives. Overall, this is valuation-and-strategy commentary rather than a new company-specific catalyst.

Analysis

The market is implicitly pricing a new AI-capex regime where the bottleneck shifts from model training to durable compute infrastructure. That is structurally supportive for NVDA and GOOGL because both benefit if orbital/remote compute becomes a real procurement category rather than a headline concept: one sells the picks-and-shovels, the other has the balance-sheet flexibility and distribution to monetize AI demand without needing a full strategic reset. The second-order winner could be NVIDIA networking and high-reliability interconnects, since space-based compute raises the premium on fault tolerance, bandwidth, and power efficiency more than raw FLOPS.

The article understates how much of the upside in the satellite-data-center story is actually option value, not near-term earnings. The earliest meaningful inflection is likely 2028+, so the trade is less about next-quarter fundamentals and more about whether investors are willing to underwrite a multi-year narrative extension. That favors names with current cash generation and visible AI monetization over pure story stocks; MSFT remains resilient, but its near-term multiple expansion is harder unless Azure re-accelerates or Copilot usage inflects materially.

Consensus is probably overpaying for the idea that “AI compute in space” automatically translates into linear GPU demand. The real constraint is not chip availability, it is launch economics, maintenance reliability, and radiation-hardened systems integration, which could delay commercialization and compress the TAM for years. If execution slips, the market may rotate back toward businesses with tangible AI monetization today, while leaving any speculative SpaceX-linked supplier basket vulnerable to narrative decay.

Key Decisions for Investors

• Long NVDA vs short MSFT on a 3-6 month horizon: the market is rewarding pure AI infrastructure leverage more than enterprise software durability; target 1.5-2.0x relative outperformance if capex enthusiasm persists, but cover if Azure commentary re-accelerates.
• Add GOOGL on weakness over the next 1-2 quarters: it has the best mix of AI optionality, monetization, and balance-sheet flexibility; downside is limited by cash generation, upside comes from AI product adoption and any compute-related ecosystem win.
• Buy AAPL call spreads 6-12 months out: low-cost expression on the view that the market is underestimating an AI-device catalyst; asymmetric payoff if Apple ships a credible consumer AI feature set, with defined risk if execution stays slow.
• Avoid chasing any SpaceX-linked supplier narrative until 2028 milestones are de-risked: treat orbital compute as long-dated venture optionality, not a near-term earnings driver; use rallies to fade speculative exposure in high-beta ancillary names.
• If using a pair trade, long NVDA / short a basket of slower AI monetizers (MSFT, legacy software proxies) for 1-3 months: the setup benefits from continued multiple dispersion as investors favor direct AI infrastructure exposure.