3 Growth Stocks You Should Buy Instead of SpaceX

The article argues that Nvidia, Meta Platforms, and Alphabet offer better risk/reward than SpaceX at current valuations, highlighting Nvidia's 85% revenue growth and 70%+ net margin, Meta's 33% revenue growth and ~50% net margin, and Alphabet's 22% revenue growth with 30% operating income growth. It emphasizes AI-driven demand across these businesses, especially Nvidia's chips, Meta's AI expansion, and Alphabet's Google Cloud and Gemini/Waymo opportunities. Overall tone is constructive on megacap tech fundamentals, but the piece is opinion-driven rather than a fresh market-moving catalyst.

Analysis

The market is still underpricing how AI capex concentrates around the dominant accelerator supplier. If model training and inference workloads keep moving toward agentic systems, the next leg of demand will likely show up less in unit growth and more in sustained pricing power, utilization, and a longer revenue runway for the clear platform winner. That argues for staying long the highest-quality AI enabler rather than trying to pick second-tier chip share gainers, which tend to disappoint when the cycle gets more capital intensive.

Meta and Alphabet are being treated as “cheap growth” for different reasons, but the common thread is that both can fund AI optionality from core cash flow without balance-sheet strain. The second-order effect is that their AI efforts may suppress near-term margins only modestly while creating asymmetric upside if model or agent monetization lands; this is a better setup than revenue-only stories with no existing profit engine. The risk is not valuation compression so much as a multi-quarter spending arms race that leaves the market impatient before the payoff appears.

The broadest miss here is that the real competition is not among these megacaps, but between hyperscaler balance sheets and the semicap/compute supply chain. If demand stays robust, equipment, networking, and memory vendors should see follow-through; if it softens, the first names to de-rate will be the “AI secondaries” that already trade on future share gains. SpaceX’s extreme multiple is a useful warning: the market is rewarding narrative optionality, but only operating leverage with visible monetization deserves a premium multiple.

Near term, the catalyst path is cleaner for NVDA, while META and GOOGL are more of a 6-18 month compounding story. The main tail risk is that AI spending growth decelerates before enterprise returns are visible, which would hit high-multiple AI beneficiaries first and force a rotation back to cash-return names. In that scenario, the better trade is to own the platform profit engines and fade the less proven AI beneficiaries.

Key Decisions for Investors

• Stay long NVDA on pullbacks over the next 1-3 months; use it as the cleanest expression of AI demand persistence, with downside mainly if hyperscaler capex commentary rolls over.
• Initiate a relative value long META / short a basket of unprofitable AI infrastructure names for a 3-6 month horizon; META has self-funded AI upside and far less execution risk.
• Add to GOOGL on weakness for a 6-12 month hold; the risk/reward is favorable because core search cash flow can finance AI and Waymo optionality without forcing dilution or leverage.
• For more aggressive positioning, pair long NVDA / short AMD over 1-2 quarters if you expect share gains to remain concentrated at the top; the short leg works best if AI demand stays strong but pricing power remains winner-take-most.
• Avoid chasing high-multiple narrative names like SPCX at current levels; if the market broadens AI winners, prefer cash-generative platforms over pure optionality until monetization becomes visible.