The article compares three anticipated AI-related IPOs, highlighting SpaceX's $1.8 trillion IPO valuation and $2.4 trillion early trading valuation, Anthropic's revenue run rate rising from $14 billion in February 2026 to $47 billion by May 28, and OpenAI's $38.5 billion loss on about $13.1 billion of revenue last year. The piece is constructive on Anthropic's growth but flags heavy expenses, valuation concerns, and governance risks at SpaceX and OpenAI. Overall it is an investor-oriented IPO preview with limited immediate market impact.
The market is effectively pricing three different business models with one common denominator: scarcity. SpaceX is being valued like a monopoly asset with optionality, but the market is underestimating how quickly insider liquidity and governance skepticism can compress the multiple once the first post-IPO lockup window opens. The second-order effect is that a blow-off top in a marquee private-market listing can re-anchor expectations for every late-stage AI/space crossover deal, making the next private round more punitive for employees and early investors.
Anthropic looks better positioned on fundamentals than the others because its monetization path is cleaner: enterprise usage, multi-cloud distribution, and a product that is already embedded in workflows. The key risk is not demand; it is capex intensity and partner concentration. If cloud/compute costs rise faster than gross margin improvement, the market will shift from valuing revenue growth to valuing efficiency, which could hit the stock hard even if top-line momentum remains strong.
OpenAI is the clearest example of product superiority not automatically translating into equity quality. The operating leverage story is obscured by the capital sink required to preserve lead, and that creates a dangerous setup for public investors if the IPO is priced on growth instead of cash generation. Governance is also more complex than a standard founder-led software IPO, which should warrant a persistent discount versus pure-play AI infrastructure names.
The contrarian view is that the market may be overrewarding headline growth and underpricing the probability of a 12-18 month valuation reset across private AI assets if public comps wobble. Morningstar’s skepticism on SpaceX matters less as a valuation call than as a signal: when a widely admired name is still seen as materially overvalued, the financing window for the rest of the ecosystem becomes less forgiving. That is likely to matter most for secondary sellers, employee retention, and the pricing of future rounds rather than near-term product traction.
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