SpaceX Just Had the Biggest IPO in History. Here's What It Tells Investors About Buying Anthropic and OpenAI When They Go Public.

SpaceX's IPO priced at $135 per share and closed its first day at $160.95, a nearly 19% gain, after demand reportedly topped $250 billion versus the initial $75 billion raise target. The article argues that Starlink's 10.3 million subscribers, $11.4 billion of connectivity revenue, and $4.4 billion of operating income in 2025 give SpaceX more flexibility than many high-growth tech listings, though margin pressure and heavy capital needs remain. It also flags Anthropic and OpenAI as potential future IPOs, with valuation and compute-cost execution likely to be key investor focus areas.

Analysis

The immediate read-through is not that IPOs are “hot,” but that private-market liquidity is being repriced for scarce, category-defining assets. A blockbuster first-day pop creates a dynamic where late private investors effectively subsidize public-market price discovery, which should compress the willingness of founders to list until they can command near-perfect execution narratives. That is constructive for already-public AI and frontier-tech beneficiaries that can monetize the same enthusiasm without surrendering control, especially companies tied to model distribution, inference infrastructure, and AI application layers.

The bigger second-order effect is on compute economics: if Anthropic/OpenAI come public at premium valuations, the market will implicitly grant a long runway for growth, but any quarter with rising training/inference expense or slower margin expansion will be punished harder than revenue misses in ordinary software IPOs. This makes the key variable not TAM, but unit economics per token and enterprise retention. In practice, that favors picks-and-shovels exposure over the model labs themselves, because the infrastructure names can benefit whether the winner is OpenAI, Anthropic, or a third entrant.

The article’s “optimistic” tone likely underprices how quickly IPO euphoria can reverse once the lockup/secondary supply overhang hits and insiders monetize. The first leg is sentiment-driven and can last days to weeks; the second leg depends on margin evidence over 1-3 quarters. If public-market AI comps re-rate on the SpaceX template, the trade is to fade the most expensive direct-exposure names on valuation alone while staying long the enablers with clearer cash-flow visibility.

One contrarian point: the market may be overestimating how much of the upside is left for IPO buyers and underestimating how much of the upside accrues pre-IPO to insiders and crossover funds. That suggests the better risk-adjusted expression is not chasing the listing, but owning the ecosystem that benefits from capital formation and AI spend regardless of which private lab wins. The clearest tell will be whether public investors start demanding gross-margin discipline within 1-2 reporting cycles or continue paying for narrative compression.

Key Decisions for Investors

• Long NVDA on any 3%-5% post-IPO sector pullback over the next 2-6 weeks; if AI IPO enthusiasm spills into public comps, NVDA should be the primary liquidity magnet, with asymmetric upside from incremental capex expectations and limited fundamental debate on demand.
• Pair trade: long NVDA / short a basket of the highest-multiple private-AI proxies that eventually list; the thesis is that public investors will pay for infrastructure certainty before they fully trust model-lab margin trajectories.
• Avoid initiating fresh long exposure to any newly listed frontier-AI lab in the first 30-60 days unless revenue visibility is matched by operating leverage; first-year public trading will likely be dominated by valuation multiple compression once growth decelerates even modestly.
• Use a vol strategy: buy call spreads on NVDA into any confirmed Anthropic/OpenAI listing window, funded by selling upside in the nearest overpriced AI software beta names; this captures the sentiment pop while limiting exposure to a post-IPO disappointment cycle.
• If NFLX participates in the broader AI enthusiasm, fade strength rather than chase; the name benefits only indirectly from tech risk appetite, so any multiple expansion driven by the IPO tape looks less durable than for AI infrastructure beneficiaries.