3 Better Trillion-Dollar Stocks to Buy Instead of SpaceX

The article argues that Nvidia, Apple, and Amazon are stronger long-term investments than SpaceX, citing Nvidia's $81.6 billion in Q1 revenue, $45.5 billion in adjusted quarterly profits, and 85% revenue growth. It contrasts SpaceX's sub-$19 billion annual revenue and 15% Q1 growth with Elon Musk's $1 trillion by 2030 target, which analysts reportedly see as too ambitious, while Amazon is said to be on track for $1 trillion in revenue by 2028 and $1.3 trillion by 2030. The piece is mainly valuation-and-quality commentary rather than new company-specific news, so market impact is limited.

Analysis

The market is paying for optionality in the wrong place. The cheapest risk-adjusted exposure here is not the highest-conviction “story” stock, but the platform names with already-proven monetization, where growth compounds into margins rather than requiring new physics or massive capex to work. That structurally favors NVDA, AMZN, and AAPL, while the space-themed beneficiary set remains vulnerable to float-driven multiple inflation that can unwind quickly if sentiment shifts.

Second-order, the article’s comparison actually highlights a capital-allocation moat: AI infrastructure is becoming a vendor-financing war, and the winners will be those that can monetize both demand creation and switching costs. NVDA is best positioned because its ecosystem locks in training workloads and increasingly inference, while AMZN benefits from parallel investment loops in cloud, logistics, and custom silicon. AAPL is slower growth, but its services annuity lowers earnings volatility and makes it a defensive compounder if AI capex sentiment rolls over.

The contrarian miss is that “unproven” is not the same as “uninvestable,” but the timeline matters. Any space/data-center thesis likely needs multiple years, not quarters, and the near-term risk is valuation compression once investors demand evidence of unit economics and launch reliability. If that happens, the fastest trade is not to short the concept broadly, but to rotate out of low-float momentum exposure and into cash-generative AI/platform leaders with visible earnings power.

Key Decisions for Investors

• Stay long NVDA versus any speculative space proxy on a 3-6 month horizon; the asymmetry is better because NVDA’s earnings support the valuation while the short leg depends on narrative persistence.
• Add AMZN on weakness for a 6-12 month hold: AWS acceleration plus logistics automation gives multiple expansion potential without needing new category creation; target risk/reward is favorable into any AI-capex rerating.
• Use AAPL as a defensive pair against momentum names: long AAPL / short higher-beta hardware or space exposure if markets start rewarding cash flow over story; thesis should work over 1-3 quarters.
• Avoid chasing low-float, concept-driven space exposure after strong runs; if you want optionality, use small defined-risk call spreads instead of common stock, since valuation can compress faster than fundamentals can improve.
• Monitor GOOGL as a secondary beneficiary if the market broadens from GPUs to inference/search monetization; a 6-12 month AI monetization reset could lift it even if it remains the cheapest large-cap AI laggard.