Why Nvidia, Not Alphabet, Is the Best Artificial Intelligence (AI) Stock to Own for the Expected $1.75 Trillion SpaceX IPO

SpaceX is reportedly targeting an IPO in 2026 at a potential $1.75 trillion valuation, which could leave Alphabet with a paper gain of more than $100 billion from its roughly 6% stake. The article argues Nvidia may be better positioned for longer-term upside because its GPUs and space-computing platforms are already embedded in SpaceX/xAI workflows, creating potential future hardware demand. The piece is largely an investment opinion rather than new hard news, so the likely stock impact is modest.

Analysis

The real market read-through is not the headline paper gain for Alphabet; it is the signal that a private-spacecapex cycle is about to become visible in public-market multiples. If SpaceX raises at a multi-trillion valuation, the capital will likely be deployed in ways that expand compute, networking, sensors, and autonomy budgets over the next 12-36 months, which is a cleaner fundamental tailwind for NVDA than a one-time mark on GOOGL. Alphabet benefits financially, but the second-order effect is minimal unless it can translate that liquidity into a broader AI/Cloud allocation or a strategic partnership, which is unlikely to move near-term estimates.

Nvidia’s edge is that it already sits inside the stack where SpaceX-derived spending should propagate: model training, inference at the edge, satellite data processing, and control systems. The key underappreciated dynamic is that a public SpaceX can lower financing friction for adjacent bets, meaning more experimentation in orbital AI, autonomous operations, and xAI-linked infrastructure even if SpaceX itself diversifies into some in-house silicon over time. That creates a multi-year demand runway, but the timing is lumpy: the stock can rerate on anticipation now, while revenue recognition likely comes in phases as deployments scale.

The main risk is consensus overestimation of near-term monetization. IPO proceeds do not automatically translate into immediate GPU orders, and any credible in-house accelerator roadmap at SpaceX/xAI would cap Nvidia’s share of wallet, especially for inference workloads where custom silicon can be economical. A more contrarian view is that the market may already be pricing a lot of the AI/space optionality into NVDA, while underpricing GOOGL’s hidden venture-style upside if the stake is monetized tax-efficiently and recycled into higher-return AI capex or buybacks.

Bottom line: this is a better medium-term positive for NVDA than for GOOGL, but the trade is about optionality, not a clean earnings revision. The catalyst window is 6-18 months around IPO pricing, capital deployment, and first follow-on procurement cycles; before that, expect mostly narrative-driven moves rather than fundamentals.

Key Decisions for Investors

• Long NVDA vs GOOGL pair trade into the SpaceX IPO window (next 6-12 months): express the thesis that Nvidia captures recurring infrastructure spend while Alphabet monetizes only a one-time mark. Use a modest size given valuation risk; target 1.5-2.0x gross exposure with a stop if SpaceX financing headlines fade.
• Buy NVDA call spreads 6-12 months out on pullbacks rather than chasing strength: the trade benefits from optionality around IPO-driven capex and limits downside if the market has already priced the story. Prefer strikes ~10-15% above spot to balance premium and convexity.
• Avoid adding to GOOGL purely on the SpaceX mark-up angle: treat any stake uplift as non-recurring balance-sheet value, not an earnings catalyst. If long GOOGL already, consider trimming into strength and reallocating to AI infrastructure names with operating leverage.
• Watch for confirmation signals in NVDA supply-chain commentary over the next 1-2 quarters: any mention of sovereign/space/edge-AI demand would validate the trade sooner than actual SpaceX procurement data. If commentary stays generic, reduce exposure because the narrative may be ahead of fundamentals.
• For more risk-tolerant portfolios, pair long NVDA with a small short basket of custom-silicon beneficiaries that lack direct exposure to SpaceX-linked demand. The goal is to isolate the specific hardware ecosystem share gain rather than bet on the broad AI capex theme.