Anthropic Just Gave Investors One More Reason To Avoid the SpaceX IPO

SpaceX is reportedly targeting a $2 trillion IPO valuation, implying a roughly 100x price-to-sales ratio on $19.3 billion of trailing revenue and more than 120x if valued against its current AI segment run rate. The article argues Anthropic looks cheaper and healthier by comparison, with a $965 billion valuation, $47 billion run-rate revenue, and a projected $559 million Q2 operating profit on $10.9 billion of revenue. The piece is mostly comparative valuation commentary, but it highlights a potentially significant AI and IPO read-through for private-market investors.

Analysis

The immediate market implication is not that one private AI asset is cheap and another is expensive; it’s that the IPO window is likely to re-rate the entire private-AI complex from growth-at-any-cost toward growth-with-path-to-profitability. That is a headwind for any story whose valuation is being justified mainly by optionality, because public investors will now have a clean comparative framework: revenue scale, margin trajectory, and capital intensity rather than brand equity or narrative premium.

For NVDA, the setup is more nuanced. A rush of AI listings can extend the capital-expenditure cycle because newly public firms may keep spending aggressively to defend growth and satisfy IPO-era expectations, supporting GPU demand in the near term. But if the market starts penalizing extreme multiple structures, the second-order effect is a tighter financing backdrop for the long tail of private AI customers, which could slow incremental spend 2-4 quarters out and compress the premium multiple on “AI infrastructure” as a theme.

INTC is a potential indirect beneficiary if the market rotates toward “credible industrialization of AI” rather than pure frontier-model hype. A relative-value trade can emerge if investors start favoring vendors with lower valuation sensitivity and more tangible hardware attach points versus private platforms priced at 20x+ sales. The risk is that this becomes a sentiment trade first and a fundamentals trade second; if the IPOs price well and trade up, the market may re-ignite speculative appetite and keep the multiple window open longer than expected.

The contrarian view is that the article likely underestimates how much public-market demand exists for scarcity and narrative in AI listings. A strong debut from a marquee name can re-anchor the market around TAM expansion rather than near-term profitability, which would be supportive for NVDA and even for select semicap suppliers. The cleaner signal to watch is not the IPO headline but the follow-on private funding cadence over the next 60-90 days: if late-stage rounds start clearing at lower revenue multiples, that will be the real pressure point for the ecosystem.

Key Decisions for Investors

• Buy NVDA on any IPO-related pullback over the next 1-2 weeks; use weakness as a way to own the highest-quality AI supplier into a likely capex-supportive IPO cycle, with a 3-6 month horizon and downside defined by a broad semis multiple compression.
• Initiate a relative-value long INTC / short basket of high-multiple private-AI proxies where available via liquid public comps; the thesis is valuation normalization and a rotation toward lower-duration AI exposure over the next 1-3 months.
• Avoid chasing the first-day enthusiasm in any AI IPO until the second lockup/secondary signal is visible; wait 30-60 days for the market to reveal whether execution or narrative is setting the clearing price.
• For event-driven accounts, consider a small NVDA call spread into the IPO window as a convex expression of sustained AI spend, but size modestly because a failed debut could quickly reverse sentiment and trigger factor de-risking.