Could Anthropic's IPO Top SpaceX's $75 Billion?

Anthropic is reportedly preparing for an IPO as soon as next month that could exceed SpaceX's record $75 billion offering and potentially value the AI company at $2 trillion or more. Anthropic's annualized revenue run rate reportedly surpassed $65 billion in July, while Q2 revenue exceeded $11.5 billion, up 143% sequentially and 1,361% year over year; adjusted operating income was positive. Despite the exceptional growth, the article warns that a $2 trillion-plus valuation could leave limited upside after listing, citing SpaceX shares trading broadly sideways since its IPO.

Analysis

The investable signal is less Anthropic-specific than a potential repricing of public AI scarcity premiums. A very large AI listing would create a new, high-beta valuation anchor for NVDA and other AI infrastructure beneficiaries: if it clears at an aggressive revenue multiple, it validates terminal-demand assumptions; if it trades below issue, investors will likely question whether downstream model providers can earn returns commensurate with the industry’s compute spend. The first-order effect is liquidity absorption from thematic AI funds during the first 2-6 weeks, which can pressure crowded large-cap AI exposures even absent a change in fundamentals.

The central diligence issue is unit economics, not reported growth. Positive adjusted operating income can exclude stock compensation, depreciation and the recurring cost of model training/inference capacity; a public filing must establish gross-margin trajectory, customer concentration, cloud-provider commitments, and whether enterprise contracts are usage-based or minimum-spend. A high valuation is defensible only if inference efficiency improves faster than pricing compression. Otherwise, model developers become the margin buffer between hyperscaler compute costs and enterprise buyers, while NVDA retains stronger near-term pricing power.

Contrarian view: a weak aftermarket would not necessarily be bearish for AI demand. It could instead accelerate consolidation, favoring scaled distribution platforms and infrastructure suppliers over standalone model vendors. For SPCX, IPO performance is a poor read-through unless its disclosed AI-related economics are separately material; using a loosely defined AI TAM to support a conglomerate multiple invites a sharper de-rating if core cash-flow businesses fail to meet expectations.

Key Decisions for Investors

• Do not chase a prospective Anthropic IPO in the first 10 trading sessions. Treat the S-1 as the catalyst: require disclosed GAAP operating cash flow, committed-compute liabilities, gross margin and top-customer concentration before underwriting a position; absence of these data is a no-trade condition.
• Maintain NVDA exposure but hedge event-window AI beta with a 1-3 month NDX put spread around the IPO pricing/listing period. Rationale: a failed large AI deal can compress AI multiples before it changes accelerator demand; remove the hedge if NVDA guidance or hyperscaler capex commentary remains intact.
• Watch SPCX relative to NDX for a post-IPO dispersion opportunity rather than a directional short. Consider short SPCX versus long NDX only if SPCX trades at a sustained premium without separately disclosed AI revenue or backlog; cover on disclosure of material AI cash flows or a 15-20% relative correction.
• Set a diligence alert for enterprise AI pricing and cloud-capacity commitments in the filing. Evidence of falling realized revenue per token, escalating minimum cloud commitments, or sub-50% gross margins would favor a 6-18 month rotation from model developers toward compute/networking suppliers; improving inference margins would falsify that thesis.