3 Stocks That Look Like Far Better Long-Term Investments Than the SpaceX IPO

The article argues that Amazon, Microsoft, and Alphabet are better long-term investments than SpaceX, citing strong AI-driven cloud demand and heavy data center spending. It highlights that AWS, Azure, and Google Cloud are established, profitable businesses, while SpaceX is valued at roughly 379x 2025 adjusted EBITDA based on a $2.5 trillion market cap and $6.6 billion of EBITDA. The piece is primarily opinionated stock commentary, with limited immediate market-moving content.

Analysis

The market is still treating AI capex as a one-way demand story, but the second-order winner is the cloud “picks-and-shovels” stack: power, networking, storage, and especially advanced semicap equipment. That means the best relative beneficiaries are not only AMZN/MSFT/GOOGL, but also suppliers with pricing power and long lead times; the risk is that investors underestimate how much of the incremental spend gets recycled into depreciation, delaying margin leverage by 4-8 quarters.

The more interesting setup is dispersion inside mega-cap tech. Amazon and Microsoft look best positioned because their cloud franchises can absorb capex with the cleanest monetization loops, while Alphabet has optionality but less proof of capital efficiency at scale. META and NVDA get only partial pass-through here: META is a demand-side catalyst for compute, but not a direct monetization beneficiary of enterprise cloud demand, while NVDA remains the most levered supplier, meaning consensus may be underpricing the duration of hyperscaler spending but overpricing the permanence of current margins if order growth normalizes.

The contrarian takeaway is that SpaceX’s valuation comparison is a distraction from the real relative-value question: whether cloud spending can keep compounding fast enough to justify today’s elevated capex intensity. In the next 3-6 months, any slowdown in enterprise AI workloads or a reset in hyperscaler guidance would hit multiples first, not revenues. Over 2-3 years, though, the secular demand curve remains intact unless power availability, chip supply, or ROI scrutiny forces a capex pause.

This is a better expression of a long AI infrastructure cycle than a pure “AI application” trade because the supply chain still has visible bottlenecks and negotiated pricing power. The main risk is that the market is already crowding into the same obvious longs, making upside more dependent on guide-up revisions than on the macro narrative alone.

Key Decisions for Investors

• Overweight AMZN vs. GOOGL over the next 6-12 months: AMZN offers the cleanest mix of cloud scale and optionality, while GOOGL has more execution skepticism embedded; use a 2:1 long AMZN / short GOOGL pair if you want to isolate relative cloud quality.
• Stay long MSFT on a 3-6 month horizon, but pair against a basket of higher-multiple AI software names: MSFT is one of the few large-cap names where AI capex can still translate into durable operating leverage if cloud demand stays hot.
• Add NVDA on pullbacks, but size it as a supplier-duration trade rather than a straight-line growth bet: best risk/reward is to buy weakness after hyperscaler guidance, because order visibility tends to lag sentiment by 1-2 quarters.
• Avoid chasing META here; use it only as a secondary hedge against an AI spend slowdown, since its benefit is indirect and more exposed to ad-cycle volatility than cloud monetization.
• If you want asymmetric upside, buy 6-12 month calls on AMZN or MSFT instead of stock: the catalyst is upward cloud guidance over the next two earnings cycles, while downside is cushioned by valuation support and recurring cash flow.