2 Stocks About To Make a Killing on the SpaceX IPO

SpaceX filed confidentially seeking to raise up to $75 billion in an IPO at a valuation of up to $2 trillion. Alphabet, which invested $900 million in 2015 for roughly a 7% stake, could see that position worth about $140 billion at a $2 trillion valuation (versus a last disclosed $8 billion unrealized gain), creating a large, liquid windfall. SpaceX’s merger with xAI and ambitions to fund data-center satellites imply significantly higher GPU demand, making Nvidia a likely beneficiary of increased chip purchases funded by the IPO proceeds.

Analysis

The largest practical effect will be a liquidity event for large pre-IPO holders that converts unrealized private-paper gains into immediately deployable capital; that changes capital-allocation dynamics for strategic investors (greater likelihood of accelerated AI capex, M&A, or programmatic buybacks) and shifts short-term corporate cash flows into public markets. For Alphabet specifically, realization of a windfall would materially lower the marginal cost of very large multi-year infrastructure projects, removing one lever (external fundraising or diluted equity issuance) and increasing the probability they spend aggressively on custom AI datacenters and networking in the next 6–24 months.

For Nvidia and its supply chain the key second-order pathway is demand phasing and SKU mix: procurement from a newly public, vertically integrated Musk ecosystem (satellites + xAI) will disproportionately favor the highest-margin, most advanced accelerators and associated interconnects. That can tighten supply for H100-class SKUs and extend lead times, creating pricing power and bumper revenue recognition over the next 2–8 quarters while suppliers (advanced packaging, HBM vendors, TSMC) see order visibility increase.

Risks cluster around timing and use-of-proceeds. Realization of private gains depends on lockups, tax optimization, and underwriter placement strategies — large strategic holders may monetise slowly or via block sales, muting immediate market impact. Equally, execution risk on exotic plans (data centers in LEO) is multi-year and capital intensive; failure or delay would cap incremental GPU demand and could create sharp mean-reversion in sentiment if investors had front-loaded expectations.

Net: the market should treat this as a multi-stage opportunity — immediate equity/volatility moves around the IPO cadence and secondary placements, a 6–18 month capex reallocation phase that favors infrastructure spenders, and a 2–5 year optionality premium if space-based compute shows technical/commodity benefits.

Key Decisions for Investors

• Buy GOOG/GOOGL 9–12 month call spreads (target delta ~0.35–0.45) sized 1–2% NAV: asymmetric upside if large pre-IPO holders monetize and Alphabet redeploys cash into AI capex/M&A; max loss = premium, target 30–60% return if conviction converts to announced spend within 12 months.
• Long NVDA via 12–24 month LEAP calls funded by selling 1–3 month covered calls (roll monthly): captures structural demand from new large-scale buyers while harvesting near-term IV; expect 2:1 upside/downside skew, hedge with monthly income sales to reduce carry.
• Pair trade — long GOOG (2%) / short NVDA (2%) equal dollar for 6–9 months: trade the sequencing risk that cash realization helps Alphabet sooner than incremental GPU spend shows up in Nvidia top line. Risk: NVDA outperformance; set stop if NVDA >15% outperformance vs GOOG over 30 trading days.
• Vol hedge: buy short-dated NVDA puts (2–3% NAV) around spike events (IPO pricing, large secondary blocks) as protection against a sentiment-driven drawdown if supply dynamics or xAI spending disappoint; target 4–6x payoff on realized downside moves.