On May 20, 2026, the aerospace and artificial intelligence sectors faced a pivotal moment as SpaceX officially submitted its S-1 prospectus to the SEC, revealing audited financials following its merger with xAI. Almost simultaneously, OpenAI prepared a confidential draft of its own IPO prospectus, signaling a coordinated attempt by two industry giants to test the limits of public market valuation for AI infrastructure. SpaceX had secretly filed its S-1 on April 1, 2026, before making it public, disclosing that the merged entity generated $18.67 billion in revenue for 2025, recorded a net loss of $4.94 billion, and achieved an adjusted EBITDA of $6.58 billion. Media reports indicate a target valuation range of $1.75 trillion to $2 trillion, with potential fundraising reaching $75 billion. The company plans to list on NASDAQ under the ticker SPCX on June 12, with Goldman Sachs as lead underwriter alongside Morgan Stanley, Bank of America, Citibank, and JPMorgan Chase. Data compiled by Woofun AI shows that these figures represent a significant departure from historical IPO scales, challenging the liquidity capacity of modern capital markets.

OpenAI's parallel preparation follows a March 2026 financing round completed at a post-investment valuation of $852 billion, involving Amazon, Nvidia, and SoftBank. CFO Sarah Friar confirmed in January 2026 that the company's annualized revenue run rate exceeded $20 billion by the end of 2025, though estimated actual annual revenue for the full year stands at approximately $13.1 billion. This discrepancy between run rate and audited annual figures will be a focal point when the S-1 is eventually disclosed. Legal uncertainties were temporarily alleviated on May 18 when a jury ruled that Elon Musk lost his lawsuit against OpenAI due to the statute of limitations in California, though Musk has announced plans to appeal. Woofun AI notes that this ruling removes immediate procedural barriers to the IPO process, allowing the focus to shift to financial disclosures and valuation justification.

The structural divergence between the two offerings is stark. SpaceX's prospectus essentially serves as a listing document for Starlink, supported by capital-intensive assets. Starlink contributed $11.4 billion in 2025, accounting for 61% of combined revenue, with subscription users surpassing 10 million in February 2026. Quilty Space projects user growth from 9 million at the end of 2025 to 16.8 million by the end of 2026. Launch services added $4.1 billion, bolstered by a $5.9 billion contract from the Pentagon's NSSL Phase III program valid until 2029. Conversely, the SpaceXAI business unit generated only $3.2 billion in revenue in 2025 but incurred an operating loss of $2.47 billion in the first quarter of 2026, dragging down overall profitability. While Anthropic provides a stable anchor by purchasing computing power from the Colossus 1 data center for $1.25 billion per month through 2029, the unit remains in a heavy capital consumption phase. The S-1 risk factors explicitly acknowledge that Grok is under investigation by eight regulatory agencies regarding unauthorized synthetic images.

OpenAI presents a different value proposition with approximately 900 million monthly active users and 50 million paid subscribers, driving an annualized revenue run rate that grew from $6 billion in 2024 to over $20 billion by the end of 2025. Internal projections suggest revenue could exceed $280 billion by 2030.

However, structural barriers persist; following Microsoft's restructuring in October 2025, the tech giant holds approximately 27% of converted shares and secures additional equity via an income-sharing agreement until 2030. Despite a renegotiated payment ceiling of $38 billion, Sacra estimates OpenAI must pay approximately $6 billion in 2026. Gross margins remain constrained at around 33% due to inference computing costs, which are projected to reach $14.1 billion in 2026, pushing the cash flow break-even point to no earlier than 2029. Woofun AI analysis suggests that the deviation between OpenAI's revenue growth curve and its cash consumption trajectory poses a significant challenge for public market pricing.

The scale of these offerings lacks direct precedent in modern capital markets. Saudi Aramco's 2019 IPO raised approximately $26 billion, remaining the largest single offering to date. SpaceX's reported target of $75 billion would nearly triple that figure if the upper valuation range is achieved. Goldman Sachs leads both transactions, with SpaceX's deal involving 23 banks and investment institutions. The core debate for investors is not merely growth, but what the public market is willing to capitalize: Starlink's operating profits versus xAI's infrastructure costs, and OpenAI's revenue velocity against the economics of large-scale AI computing. Woofun AI observes that the reported valuation multiples imply a multiple of 95 to 107 times 2025 revenue for SpaceX and over 75 times for OpenAI, figures that cannot be justified by traditional profitability metrics alone.

Macroeconomic headwinds further complicate the landscape. Federal Reserve policies and high long-term discount rates have reduced terminal value assumptions for unprofitable growth companies, a category encompassing both SpaceX's AI unit and OpenAI. While OpenAI's $122 billion private financing in March 2026 demonstrates institutional demand at private valuations, translating this to public market targets requires successful roadshows and detailed profit timeline disclosures. The gap between disclosed financial data and reported valuation ranges will be the primary focus of investor discussions. SpaceX's roadshow is expected to begin the week of June 4, with pricing targeted for June 11 and trading commencing on June 12. OpenAI's confidential submission means its public S-1 may not appear until late July or August 2026, delaying full scrutiny of Microsoft's income-sharing terms and Stargate infrastructure commitments.

The success of these listings will serve as a critical stress test for AI infrastructure equity liquidity. If offering prices fall significantly below reported targets or if first-day performance is weak, the impact could ripple through the broader AI IPO pipeline, affecting companies like Anthropic, which has already initiated preliminary discussions with Goldman Sachs, JPMorgan Chase, and Morgan Stanley. Historical data indicates that when IPO financing exceeds 10% of daily average trading volume, volatility increases substantially. Investors must closely monitor institutional feedback during roadshows and the final pricing discount relative to reported ranges to gauge true market demand. The ultimate outcome will determine whether the trillion-dollar narrative for AI infrastructure can withstand the rigorous scrutiny of the public market.