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  • OpenAI’s Leaked 2025 Financials: $34 Billion in Spending, a $38.5 Billion Net Loss, and a $17 Billion Microsoft Bill Ahead of Its IPO

    Infographic summarizing OpenAI leaked 2025 financials: $13.07B revenue, $34B total costs, $20.92B operating loss, $38.53B net loss, where the $34B went, the $17.2B paid to Microsoft versus $303M paid back, inference costs, and IPO valuation context

    OpenAI’s audited 2025 financials leaked this week, and they are the clearest picture yet of what it actually costs to run the company behind ChatGPT. Independent journalist Ed Zitron first published the documents, and the Financial Times independently confirmed them. The headline: OpenAI spent $34 billion last year, booked $13.07 billion in revenue, and reported a net loss attributable to the company of $38.5 billion. The disclosure lands just days after OpenAI confidentially filed for an IPO that could value it north of $1 trillion.

    TLDR

    OpenAI’s audited 2025 numbers, leaked by Ed Zitron and confirmed by the Financial Times, show revenue tripling to $13.07 billion while total costs reached $34 billion, producing a $20.92 billion operating loss and a $38.53 billion net loss attributable to the company. The much larger net loss is inflated by a one-time $41.55 billion non-cash charge tied to OpenAI’s October 2025 conversion from a nonprofit to a public benefit corporation; strip the non-cash items and the loss is closer to $8 billion. R&D alone was $19.18 billion, cost of revenue (inference) was $7.5 billion, and sales and marketing ballooned to $5.73 billion. OpenAI paid Microsoft $17.2 billion in 2025 while Microsoft paid OpenAI only $303 million, exposing a deep Azure dependency. The company burned $1.60 for every dollar of revenue, down from $2.37 in 2024, and gross margin slipped from roughly 40% to 33% as more capable models consumed more compute per query. The leak arrives as OpenAI files a confidential S-1, targets a listing as early as September 2026 at up to a $1 trillion valuation, and races rival Anthropic, which is more valuable on paper and claims it is already turning an operating profit.

    Thoughts

    The most important thing to understand about these numbers is that there are two loss figures and the press will conflate them. The $38.53 billion net loss is the scary headline, but $41.55 billion of it is a non-cash accounting charge from converting investor convertible interests into equity during the for-profit restructuring. That charge is real on the audited statement and it will show up in the eventual S-1, but it is a one-time artifact of OpenAI’s unusual corporate history, not money that left the building. The number that describes the actual business is the $20.92 billion operating loss. That is the one to watch, and it is still enormous.

    The genuinely encouraging line in the whole release is the loss-per-dollar ratio. In 2024 OpenAI spent $2.37 to generate a dollar of revenue. In 2025 that fell to $1.60. A company that is still losing $1.60 on every dollar is not a healthy business, but a company whose efficiency improved by a third in a single year while tripling its top line is at least pointed in a defensible direction. The bull case for OpenAI lives entirely in the slope of that line. If it keeps improving at that rate, the math eventually crosses over. If it stalls, the valuation is a fantasy.

    The Microsoft relationship is the single most revealing disclosure, and it is wildly asymmetric. OpenAI paid Microsoft $17.2 billion in 2025. Microsoft paid OpenAI $303 million. That is a 56-to-1 ratio, and it reframes the partnership: Microsoft is not really a peer or even just an investor, it is OpenAI’s landlord and primary supplier, collecting rent on every model trained and every query answered. The April 2026 renegotiation that capped revenue-share payments at $38 billion through 2030, down from a projected $135 billion, suddenly looks less like a favor and more like OpenAI desperately trying to lower its single largest cost. The dependency cuts both ways, but right now Microsoft holds the better hand.

    The structural problem hiding inside the cost of revenue line is inference. Training a model is a fixed, one-time cost. Serving it is a recurring cost that scales with every one of ChatGPT’s roughly 800 million weekly users. OpenAI spent $5.02 billion on Azure inference in the first half of 2025 alone, and the more capable its reasoning models get, the more compute each answer burns. That is why gross margin went down even as revenue went up. It is the opposite of how software is supposed to work, where the marginal cost of one more user trends toward zero. OpenAI’s marginal cost is real, large, and growing. The counterargument is that per-token inference costs have been falling roughly tenfold a year, so the unit economics could still flip. That is the entire wager.

    Finally, the timing matters more than the numbers. OpenAI’s confidential S-1 means these audited figures were going to become public regardless, since the SEC requires the full prospectus at least 15 days before a roadshow. What the leak changes is who gets to study them first. Prospective IPO buyers, enterprise customers signing multi-year API contracts, and competitors now have the audited books weeks or months early, and they are reading them against Anthropic, which filed at a higher valuation and claims an operating profit. For a company asking the public markets to underwrite a $1 trillion bet on a monopoly outcome that does not yet exist, losing control of the narrative this early is not a small thing.

    Key Takeaways

    • OpenAI’s audited 2025 financials were first published by independent journalist Ed Zitron and independently confirmed by the Financial Times, the first verified look at the company’s books before its planned IPO.
    • Revenue grew from $3.7 billion in 2024 to $13.07 billion in 2025, more than tripling year over year, making OpenAI one of the fastest-growing businesses in history.
    • By the end of 2025 OpenAI was generating roughly $2 billion in monthly revenue, up from about $1 billion a quarter at the end of 2024.
    • Total costs and expenses hit $34 billion in 2025, up from $12.48 billion in 2024.
    • Research and development was the single largest expense at $19.18 billion, up from $7.81 billion, and exceeded total revenue on its own.
    • Of that R&D spend, $10.59 billion went to Microsoft, almost certainly the GPU compute cost of training frontier models on Azure.
    • Cost of revenue, the expense of serving ChatGPT responses (inference), rose from $2.65 billion to $7.5 billion.
    • Sales and marketing jumped from $1.11 billion to $5.73 billion, a 418% increase.
    • General and administrative costs rose from $907 million to $1.57 billion.
    • The operating loss, the truest measure of day-to-day economics, grew from $8.78 billion to $20.92 billion.
    • The net loss attributable to OpenAI was $38.53 billion, up nearly eightfold from $5.09 billion in 2024.
    • The bulk of that jump was a one-time, non-cash $41.55 billion charge from OpenAI’s October 28, 2025 conversion to a public benefit corporation, reflecting the changing fair value of convertible interests and warrant liabilities.
    • Stripping out the restructuring charge and other non-cash items such as stock-based compensation and Microsoft computing credits, the underlying loss was about $8 billion.
    • Including all factors, gross net loss reached $60.35 billion, lowered to the $38.53 billion attributable figure by removing $21.82 billion attributed to noncontrolling and redeemable noncontrolling interests.
    • OpenAI burned $1.60 for every $1 of revenue in 2025, an improvement from $2.37 in 2024, the clearest data point in the bull case.
    • Measured as a percentage of revenue, the operating loss improved from 237% in 2024 to 160% in 2025.
    • In total, OpenAI paid Microsoft $17.2 billion in 2025: $10.59 billion in R&D fees, $6.047 billion in cost of revenue, $527 million in sales and marketing, and $42 million in G&A.
    • Microsoft paid OpenAI just $303 million in the same year, a 56-to-1 imbalance underscoring OpenAI’s Azure dependency.
    • SoftBank paid OpenAI $867 million in 2025.
    • At year-end OpenAI carried $3.64 billion in outstanding payables to Microsoft, plus tens of millions more in accrued and non-current liabilities.
    • OpenAI spent $5.02 billion on Azure inference in just the first half of 2025; Azure inference from 2024 through Q3 2025 totaled $12.43 billion.
    • ChatGPT serves roughly 800 million weekly users, meaning billions of queries a week, each one burning GPU time at Azure’s pricing of about $6.98 per H100 GPU-hour.
    • Gross margin fell from roughly 40% in 2024 to 33% in 2025, because more capable reasoning models consume more compute per query.
    • Research firm Sacra estimates OpenAI’s inference costs reached $8.4 billion in 2025 and will rise to $14.1 billion in 2026, a 68% increase.
    • At year-end OpenAI held just over $50 billion in assets, with almost half in cash.
    • The April 2026 Microsoft renegotiation ended exclusivity and capped revenue-share payments at $38 billion through 2030, down from a projected $135 billion, potentially saving OpenAI up to $97 billion over five years.
    • OpenAI filed a confidential draft S-1 with the SEC around May 22, 2026 and confirmed it publicly on June 8, naming Goldman Sachs and Morgan Stanley as underwriters.
    • The company is targeting a listing as early as September 2026 at a valuation that could exceed $1 trillion, though Sam Altman has said a public offering “may be a while.”
    • OpenAI raised $122 billion earlier in 2026 at a $730 billion pre-money valuation, putting its post-money value around $852 billion.
    • At an $852 billion valuation, OpenAI trades at roughly 65 times its 2025 revenue.
    • Rival Anthropic also filed IPO paperwork this month after raising $65 billion at a $900-$965 billion valuation, making it more valuable on paper than OpenAI, and says it expects to report an operating profit of $559 million in the June quarter.
    • HSBC analysts estimate OpenAI may need more than $207 billion in additional capital through 2030 even under optimistic projections.
    • OpenAI projects profitability by 2029 or 2030; independent analysts put the more likely date at 2031 or later.
    • Bridgewater partner Greg Jensen reportedly told clients the implied revenue multiples price OpenAI for “a monopoly outcome that does not yet exist.”
    • Zitron separately reported OpenAI had a negative 122% non-GAAP operating margin in Q1 2026 and that ChatGPT growth has stalled, with the company projecting paid ChatGPT Plus subscriptions to fall from 44 million in 2025 toward cheaper tiers in 2026.

    Detailed Summary

    How the leak happened and why it matters now

    The audited documents were obtained and first published by Ed Zitron on his newsletter Where’s Your Ed At, then independently verified by the Financial Times, which reviewed the same materials. That dual sourcing matters: this is not a rumor or a model, it is OpenAI’s actual audited financial statement. The timing is the story. OpenAI filed a confidential draft S-1 with the SEC around May 22, 2026 and confirmed it publicly on June 8. Under SEC rules the full prospectus must be released at least 15 days before an investor roadshow, so the 2025 numbers were going to be public soon regardless. The leak simply moved that disclosure forward, handing prospective investors, enterprise customers, and competitors an early look at the books.

    Revenue tripled, costs grew faster

    OpenAI’s revenue rose from $3.7 billion in 2024 to $13.07 billion in 2025, and monthly revenue reached nearly $2 billion by year-end. By almost any normal standard that is spectacular growth. The problem is that costs grew faster, reaching $34 billion against $12.48 billion the year before. The gap between what OpenAI earns and what it spends has widened every year since its founding, and 2025 is the starkest example yet. Revenue alone was outpaced by research and development as a single line item in both of the last two years.

    Two loss numbers, and why both matter

    There are two figures that get cited interchangeably and should not be. The operating loss of $20.92 billion is what the business spent beyond what it earned from operations: training models, serving ChatGPT, paying engineers, running marketing. The net loss attributable to OpenAI of $38.53 billion is far larger because 2025 was the year OpenAI completed its conversion from a nonprofit to a for-profit public benefit corporation, finalized on October 28, 2025. That restructuring triggered a $41.55 billion non-cash charge reflecting the changing fair value of convertible equity interests and warrant liabilities. Before the conversion, investors held convertible interest rights treated as liabilities under US accounting rules and revalued upward as OpenAI’s valuation climbed, creating the charge. It is not expected to recur. Including all minor items, gross net loss reached $60.35 billion, reduced to the $38.53 billion attributable figure after removing $21.82 billion tied to noncontrolling and redeemable noncontrolling interests, primarily the OpenAI Foundation’s stake. Strip the non-cash noise and the underlying loss was about $8 billion.

    Where the $34 billion went

    The spending breaks into four lines. Research and development was $19.18 billion, the largest category, with $10.59 billion of it flowing to Microsoft for training compute. Cost of revenue, the expense of serving responses to users, was $7.5 billion and captures inference, the compute consumed every time someone prompts ChatGPT or calls the API. Sales and marketing reached $5.73 billion, up 418% year over year, a striking jump for a product that grew largely by word of mouth. General and administrative costs added $1.57 billion. The shape of the spending tells you OpenAI is simultaneously racing to build better models, serve a massive and growing user base, and aggressively defend market share through marketing.

    The Microsoft dependency

    The most striking single disclosure is the scale of the Microsoft relationship. OpenAI paid Microsoft $17.2 billion in 2025: $10.59 billion in R&D fees for model training, $6.047 billion in cost-of-revenue for inference serving, $527 million in sales and marketing, and $42 million in G&A. Microsoft paid OpenAI just $303 million the same year. SoftBank paid OpenAI $867 million. The 56-to-1 ratio between what OpenAI pays Microsoft and what Microsoft pays back makes the structural reality plain: Microsoft is OpenAI’s largest landlord. The dynamic began shifting in April 2026, when the two renegotiated, ending Microsoft’s exclusivity and capping revenue-share payments at $38 billion through 2030, down from a projected $135 billion. That could save OpenAI up to $97 billion over five years, though Microsoft keeps its IP license through 2032 and remains the primary cloud partner.

    Why inference is the core problem

    Training happens once. Serving happens billions of times a day. When OpenAI releases a model it spends months and billions on training compute, a fixed cost that falls away when training ends. Inference is the opposite: every ChatGPT message runs through the model on Azure GPU hardware, consuming electricity and compute to generate a response. With roughly 800 million weekly users, that is billions of queries a week, each burning GPU time at roughly $6.98 per H100 GPU-hour on demand. OpenAI spent $5.02 billion on Azure inference in the first six months of 2025 alone. Sacra estimates full-year inference costs of $8.4 billion in 2025, rising to $14.1 billion in 2026. This is why gross margin fell from about 40% to 33% even as revenue tripled: more capable reasoning models consume far more compute per query, and revenue has not kept pace with the cost growth that capability generates.

    What it means for the IPO and the race with Anthropic

    OpenAI was last valued around $852 billion post-money after raising $122 billion in early 2026, which puts it at roughly 65 times 2025 revenue. It has named Goldman Sachs and Morgan Stanley as underwriters and is targeting a listing as early as September 2026 at up to a $1 trillion valuation, though Altman has hedged that it “may be a while” and that staying private might be the better course. HSBC estimates the company may need more than $207 billion in additional capital through 2030. The race is with Anthropic, which filed paperwork the same month after raising $65 billion at a $900-$965 billion valuation, making it more valuable on paper, and which says it expects a $559 million operating profit in the June quarter. The contrast is sharp: the two leading AI labs heading toward public markets at the same time, one bleeding cash at scale, the other claiming profitability, both asking investors to bet on a future that has not arrived.

    Notable Quotes

    “The financial condition of OpenAI is deeply concerning. $38.53 billion in losses are astronomical, and far higher than most believed it would be. Losses also appear to be mounting year-over-year at a dramatic rate, and I’m not sure how this company finds a way toward any kind of sustainability or profitability.”

    Ed Zitron, the independent journalist who published the leaked audited financials

    “It’s unclear what this means, nor how OpenAI reconciled the removal of $3.74 billion in costs. I will not speculate further.”

    Ed Zitron, on a discrepancy he found in the restated 2024 figures

    “OpenAI’s two biggest expenses are R&D and marketing. Budget cuts there, coupled with an ability to raise prices or win new sources of revenue, could see the company move into the black over time. Cutting R&D would be the most difficult part of that, given that AI companies can only hold onto their customers by generating the best-performing models.”

    Jim Edwards, Fortune, on whether OpenAI has a realistic path to profitability

    “What the audited documents make impossible to argue is that the path to profitability is short, clear, or cheap.”

    TechTimes analysis of the leaked OpenAI financials

    The implied revenue multiples price OpenAI for “a monopoly outcome that does not yet exist.”

    Bridgewater partner Greg Jensen, reportedly telling clients how to read OpenAI’s valuation

    “OpenAI spent $34bn last year as the ChatGPT maker poured money into a race to dominate the fast-growing AI market ahead of a planned stock market listing.”

    George Hammond and Bryce Elder, Financial Times, framing the audited 2025 spend

    Read Ed Zitron’s original reporting with the full breakdown here, and the Financial Times confirmation here.

    Related Reading

    • Ed Zitron, Where’s Your Ed At the primary source that broke the audited 2025 financials with the full line-by-line breakdown.
    • OpenAI (Wikipedia) background on the company’s history, structure, and the nonprofit-to-for-profit conversion that drives the non-cash charge.
    • Inference (Wikipedia) on the recurring compute cost that explains why OpenAI’s gross margin shrinks as usage grows.
    • Anthropic the rival lab that filed IPO paperwork the same month at a higher valuation and claims it is already operating at a profit.
    • SEC on confidential filings context for why OpenAI’s audited numbers were headed for public disclosure regardless of the leak.

  • Thomas Laffont of Coatue on the $4 Trillion AI IPO Wave: SpaceX, Anthropic, OpenAI, and Why the New Unicorn Economy Is Healthier

    Thomas Laffont, co-founder of the $55 billion hedge fund Coatue Management, made his All-In Podcast premiere with a data-dense walk through what he calls a once-in-a-generation moment for the unicorn economy. In front of Chamath Palihapitiya, Jason Calacanis, David Sacks, and David Friedberg, he argued that a roughly $4 trillion wave of private value is about to hit the public markets, led by SpaceX, Anthropic, and OpenAI, and that the new AI-driven unicorn economy is actually healthier than the one that came before it. You can watch the full presentation and Q&A on YouTube.

    TLDW

    Laffont presents Coatue’s slide deck on the state of the unicorn economy and argues it has rebalanced after the excesses of 2021. The average unicorn is up about 70 percent since September 2024, AI keeps taking a bigger share of all fundraising, and the model has shifted from many small unicorns to fewer companies each raising far more, with funding per unicorn up roughly 5x since 2021. He introduces a “Magnificent 8” private index (SpaceX, Stripe, Anthropic, Databricks, Revolut, ByteDance, Anduril, and more) worth nearly $4 trillion that has crushed the public Mag 7, then shows that exits are finally thawing as SpaceX heads to an IPO in weeks and Anthropic confidentially files its S1. He lays out Coatue’s “CODE” framework for why SpaceX gets more valuable the more it launches, a counterintuitive finding that the odds of a 10x actually rise as companies get bigger (31 percent for $100 billion-plus centicorns), the explosive revenue ramp of OpenAI and Anthropic past Workday, ServiceNow, Adobe, Salesforce, and now the hyperscalers, a three-pillar map of where AI revenue comes from (consumer, ads, enterprise), and the AI memory thesis. The Q&A with Chamath and Calacanis digs into the power law, K-shaped outcomes, whether these valuations are disconnected from reality, the public market as the great antiseptic, and what happens when trillions in private value finally recycles back through GPs and LPs.

    Thoughts

    The most useful idea in the talk is not the $4 trillion headline, it is the cohort-health chart. Laffont splits unicorns into eras and shows that the pre-2021 cohort was healthy, roughly 80 percent had raised again or exited 20 quarters after minting, while the giant 2021 ZIRP cohort of 479 companies is stuck with under 20 percent doing either. That single comparison reframes the whole AI boom. The bullish read is that the 2024 AI cohort is small, concentrated, and cash-generative, so it looks more like the healthy pre-ZIRP group than the 2021 hangover. The bearish read is that we are watching the same movie with bigger numbers, and the test only comes when these companies face public markets. Laffont is honest that we do not yet know which cohort the AI class resembles, and that intellectual humility is what makes the deck credible rather than promotional.

    The SpaceX “CODE” framework is the sharpest analytical move of the presentation. Most people would assume a launch business gets cheaper per launch as it scales. Laffont shows the opposite, the market pays more per launch as cadence rises, and explains it as a phase change in business quality: from one-time government launch revenue, to a single recurring-revenue constellation, to multiple constellations, to a platform with optional upside in space data centers, the moon, and Mars. It is a clean way to think about any company that climbs from a project business to a platform business, and it applies far beyond rockets. The lesson for investors is that valuation can rationally expand even as unit economics look like they should compress, because the nature of the revenue underneath is changing.

    The counterintuitive 10x odds finding deserves more attention than it got in the room. Conventional wisdom says the bigger you are, the harder it is to grow, so a $100 billion company should be less likely to 10x than a $10 billion one. Coatue’s data says the reverse: centicorns have a 31 percent shot at a 10x, far higher than the 8 percent a unicorn has at becoming a decacorn. Laffont’s explanation is a filtering mechanism, every step up validates a compounding advantage and durability of earnings, so survivors are increasingly the kind of business that keeps compounding. This is essentially a quantitative restatement of quality investing, and it is the intellectual backbone of the LP strategy the besties tease out, just buy whoever reaches $100 billion and hold.

    Where the argument gets genuinely contested is valuation, and the panel does not let it slide. The pushback that “these are not fake companies” is true and important, OpenAI and Anthropic are growing faster than any software company in history, and Anthropic reportedly had a profitable month. But growth and reality do not settle the question of price when you are paying 50 to 100 times revenue for trillion-dollar private companies, as Bill Ackman pointed out earlier in the day. Laffont’s answer is the most grounded thing he says all session: the public market is the great antiseptic, it will not care about anyone’s slide deck, and he wants to see these names withstand short sellers and skeptics. That is the right posture. The deck is a thesis, not a verdict, and the verdict arrives roughly six months and one day after the IPOs, once passive flows and supply have washed through.

    The closing thread, that almost every sector is being transformed at once and we still do not have superintelligence, is the part worth sitting with. The risk in a presentation this bullish is treating the trend as destiny. The value is in the framing tools Laffont hands you, cohort health, phase-change business quality, the filtering odds, the three revenue pillars, and the antiseptic of public scrutiny. Use those to interrogate each name rather than to buy the index on faith, and the talk earns its premiere billing.

    Key Takeaways

    • Coatue Management is one of the most successful hedge funds of the last two decades with about $55 billion under management, and is raising roughly another billion dollars specifically to invest in AI.
    • The unicorn economy is up about 70 percent on average since September 2024, and the public market has made a similar move up over the same period.
    • The unicorn economy’s share of the NASDAQ rose significantly after 2015 but has plateaued in recent years, reflecting strong performance from public companies.
    • AI keeps increasing its wallet share of all venture fundraising, multiple years in a row now.
    • The composition of funding has changed. The unicorn “factory” peaked in the ZIRP era of 2021 and has normalized at a much lower level since.
    • Funding per unicorn has increased roughly 5x since 2021. There are fewer unicorns, and each one is raising more.
    • Cohort health, pre-ZIRP group: of about 73 unicorns, 20 quarters after minting roughly 80 percent had either raised a new round or exited, which is healthy.
    • Cohort health, 2021 group: of about 479 unicorns, 20 quarters in, fewer than 20 percent had exited or raised again. Far larger cohort, far worse outcomes.
    • The open question is which cohort the new 2024 AI cohort will resemble.
    • Funding is concentrating: the top 10 companies capture a large share, and it is a small number of AI companies, not all of them, with Anthropic and OpenAI raising massive rounds.
    • Laffont proposes a “Magnificent 8” private index: SpaceX, Stripe, Anthropic, Databricks, Revolut, ByteDance, Anduril, and more, spanning internet, AI, fintech, and space tech.
    • That private index represents almost $4 trillion of value and has crushed the traditional public Mag 7, with almost every name outperforming.
    • Exits are thawing. 2026 is on a good trend for cash returned versus consumed, not quite 2021 levels, with half a year still to go.
    • That trend does not yet include three imminent liquidity events: SpaceX (IPO expected in weeks) and Anthropic (confidentially filed its S1), whose combined value could exceed the prior decade of exits combined.
    • The ecosystem is far more balanced than when Laffont first presented at the 2024 All-In Summit, when it was consuming much more cash than it returned.
    • OpenAI and Anthropic revenue growth is unlike anything previously seen. Starting from January 2025, they passed Workday, then ServiceNow, then Adobe, then Salesforce, and are now bigger than Google Cloud and Azure.
    • On current forecasts, that revenue could pass AWS by the end of the year and exceed all of Microsoft by 2028.
    • Hyperscalers are not sitting still. The largest companies in the world are funding the disruption, investing unprecedented sums to enable the ChatGPT moment.
    • The SpaceX “CODE” framework: the number one driver correlated to SpaceX’s valuation is cadence of launches, and valuation per launch rises as launches increase.
    • Why per-launch value rises: business quality improves through phases, pre-constellation (one-time government revenue), initial ramp (one recurring-revenue constellation), scale (multiple constellations), and platform (space data centers, moon and Mars optionality).
    • Anthropic in particular is scaling like no company seen across the PC, internet, or mobile eras.
    • Counterintuitive 10x odds: a unicorn has about an 8 percent chance of becoming a decacorn, a decacorn has 8 to 13 percent odds of reaching $100 billion, but a centicorn ($100 billion-plus) has a 31 percent chance of a 10x.
    • Value creation has accelerated. It typically takes years to go from $500 billion to $1 trillion in market cap, yet recently three companies did it in one year and two did it in a matter of weeks.
    • Cerebras is the counterexample of slow success: years of dark periods and no new capital developing its technology, then a massive OpenAI contract that quintupled the company’s value ahead of its IPO.
    • Semiconductors are on a generational run, with the sector dramatically outperforming the index since the 2024 All-In Summit.
    • AI memory thesis: the more an AI system knows about you, the more useful it is, so memory per user could quintuple, which helps explain recent moves in memory companies.
    • Where the revenue is: the AI ecosystem is roughly $140 billion today, about $300 billion this year, and is expected to double in 2027.
    • Three revenue pillars: consumer (subscribers times ARPU), ads (about a quarter of Meta and Google ads are AI-enabled today, heading toward 100 percent and roughly $150 billion), and enterprise (tools like Claude Code and Codex inside businesses).
    • Disruption is hitting every sector: software, telco (Starlink-powered global phone calls), semis, energy (data centers reshaping Pennsylvania’s grid), auto (Ferrari’s electric and autonomous stumble), and consumer (GLP-1s reshaping food, alcohol, and wellness).
    • Final takeaways: the new unicorn economy is healthier thanks to AI, winners are compounding faster so the cost of not owning a winner is higher than ever, disruption is everywhere, and we do not even have superintelligence yet.
    • In the Q&A, both Anthropic and OpenAI publicly say they want to be public, and big outcomes now look likely to become liquid within roughly a 12-month window.
    • The valuation pushback: these are not fake companies, they generate substantial revenue at scale and grow faster than anything before, and Anthropic reportedly even had a profitable month.
    • The public market is framed as the great equalizer and antiseptic, but with passive buying the true price discovery may not land on day one, more like six months and a day after listing.
    • A floated LP strategy: wait for whoever reaches $100 billion and concentrate capital there as the least brittle, quickest-return bet, tempered by the warning that valuations are disconnecting from any historical metric (50x to 100x revenue).
    • An open risk: with so much capital, OpenAI and Anthropic could rationally start a price war, the way ride-sharing and food-delivery players once did, though heavy infrastructure spend complicates it.

    Detailed Summary

    The unicorn economy has rebalanced after 2021

    Laffont opens by reframing a market many assume is frothy. The average unicorn is up about 70 percent since September 2024, and the public market has tracked a similar climb, so private and public value are moving together rather than diverging. The unicorn economy’s share of the NASDAQ rose sharply after 2015 and then plateaued, which he reads as a sign of how strong public companies have become. Underneath the headline, the structure of funding has changed. The 2021 ZIRP era was a unicorn factory that minted enormous numbers of companies, and that machine has since normalized to a much lower level. The result is a barbell: fewer new unicorns, but each raising far more, with funding per unicorn up roughly 5x since 2021. AI sits at the center of this, taking a steadily larger share of all venture dollars for several years running.

    Cohort health is the real story

    The deck’s most important slide measures the health of the ecosystem by cohort. The pre-ZIRP cohort, about 73 unicorns, looks healthy: 20 quarters after becoming unicorns, roughly 80 percent had either raised a new round or exited. The 2021 cohort tells the opposite story. It is enormous, about 479 unicorns, and 20 quarters in, fewer than 20 percent had raised again or exited. That contrast sets up the central question of the talk. A new 2024 cohort of AI companies is forming, and no one yet knows whether it will resemble the healthy pre-ZIRP group or the bloated, stuck 2021 group. Laffont’s framing leans optimistic because the AI cohort is small and concentrated, but he is careful not to declare the answer.

    The Magnificent 8 and a $4 trillion private index

    Funding is not just flowing to AI, it is flowing to a handful of AI names, with the top 10 capturing a large share and Anthropic and OpenAI raising the biggest rounds. From this concentration Laffont builds a private index he half-jokingly calls the Magnificent 8, a number he expects to shrink as companies go public. The members span sectors: SpaceX, Stripe, Anthropic, Databricks, Revolut, ByteDance, and Anduril, covering internet, AI, fintech, and space tech. He says he would be comfortable owning that index for the next decade-plus. Collectively it represents almost $4 trillion of value and has outperformed the public Mag 7, with nearly every constituent beating that benchmark.

    Exits are thawing and a wall of liquidity is coming

    One of Laffont’s recurring concerns at past summits has been balance: the unicorn economy is great at consuming cash, but a healthy ecosystem must also return it. On that score 2026 is trending well, not quite 2021, but solid with half a year left. Crucially, that figure does not yet include three imminent events. SpaceX is expected to go public within weeks, and Anthropic confidentially filed its S1 the day of the talk. Adding those up, just a few companies could deliver more liquidity than the prior ten years combined. The takeaway is that the ecosystem that was dangerously out of balance in 2024 is now meaningfully more balanced, and improving.

    The revenue ramp past the hyperscalers

    The growth rates of OpenAI and Anthropic, Laffont argues, are unlike anything previously seen. Charting from January 2025, the leading AI labs passed Workday, then ServiceNow, then Adobe by year end, then Salesforce by January, and are now bigger than Google Cloud and Azure. On forecast, that revenue could surpass AWS by the end of the year and exceed all of Microsoft by 2028. He stresses that the hyperscalers are not passive bystanders, they are actively funding the disruption, pouring unprecedented capital into enabling the change that began with the ChatGPT moment.

    The SpaceX CODE framework

    Laffont devotes real time to how Coatue thinks about SpaceX. The single factor most correlated with SpaceX’s valuation is cadence of launches, which is intuitive for a launch business. The surprise is that valuation per launch has risen rather than fallen as cadence climbed. His explanation, the CODE framework, is that the quality of the business model improves the more SpaceX launches. In phase one, pre-constellation, you are simply proving rockets, with a few government customers and lumpy, unpredictable one-time revenue. In the initial ramp you stand up a constellation, which is an end market and a recurring-revenue business that grows with every satellite and subscriber. At scale you operate multiple constellations, and Laffont expects companies, governments, and militaries to want to own their own. Ultimately it becomes a platform, with new businesses layered on top, from space data centers to the optionality of the moon and Mars.

    Counterintuitive odds and the speed of value creation

    Coatue bucketed companies and asked the odds of a 10x within each. A unicorn has roughly an 8 percent chance of becoming a decacorn. A decacorn has 8 to 13 percent odds of reaching $100 billion. But a centicorn, $100 billion or more, has a 31 percent chance of a 10x, counting both public and private companies. The bigger you are, the better your odds, which inverts intuition. Laffont pairs this with the sheer speed of recent value creation. Going from $500 billion to $1 trillion in market cap normally takes years, yet three companies did it in a single year and two did it in a matter of weeks. He also offers Cerebras as the patient counterexample, a chip company that endured years of dark periods and no new capital before a massive OpenAI contract quintupled its value ahead of IPO, part of a broader generational run for semiconductors.

    AI memory and where the revenue actually comes from

    A throughline from the day’s other speakers is that the more an AI knows about you, the more useful it is, from your restaurant preferences to your work context. Laffont turns that into a thesis: memory per user could quintuple based on what these systems require, which helps explain recent moves in memory companies. He then tackles the most contested question, where is the revenue. He sizes the AI ecosystem at about $140 billion today, roughly $300 billion this year, and doubling in 2027, built on three pillars. Consumer is subscribers times ARPU. Ads are the pillar people forget, with about a quarter of Meta and Google ads already AI-enabled and penetration heading toward 100 percent, a roughly $150 billion opportunity. Enterprise is the breakthrough category, exemplified by tools like Claude Code and Codex operating inside businesses.

    Every sector is being transformed at once

    What makes this era different, Laffont says, is that nearly every sector is being transformed simultaneously. Software is obvious, but look at telco, where he believes Starlink will soon power a device that lets you make a phone call anywhere on earth, attacking the global telco and broadband profit pool with a better product. Compute is driving massive change in semis, data centers are reshaping the energy equation in places like Pennsylvania, and the auto business is being upended, as Ferrari’s stumble introducing electric and autonomous technology showed. In consumer, GLP-1 drugs are profoundly changing consumption of food and alcohol and the broader focus on wellness. His takeaways close the loop: the new unicorn economy is healthier thanks to AI, winners are compounding faster so the cost of missing them is higher than ever, disruption is everywhere, and superintelligence has not even arrived yet.

    The Q&A: power law, valuation, and the public market test

    Chamath and Jason Calacanis press Laffont on what this means for allocators. The recurring theme is the power law and K-shaped outcomes, with gains consolidating into a small number of companies. The positive side, Laffont notes, is that outcomes are enormous and increasingly liquid within a 12-month window, and both Anthropic and OpenAI say they want to be public. The hard part is valuation. The besties cite Bill Ackman’s framing that investors are making venture bets on trillion-dollar companies at 50 to 100 times revenue. Laffont’s pushback is that these are not fake companies, they generate substantial revenue at scale and grow faster than anything before, and Anthropic reportedly had a profitable month. But he embraces the discipline ahead: the public market is the great antiseptic and will not care about anyone’s presentation, though with heavy passive buying, true price discovery may take roughly six months and a day rather than landing on day one. Asked whether the compounding is a market inefficiency or survivor bias, he declines to over-read a small sample, noting that Anthropic before Claude Code was a completely different company than after. The conversation closes on what happens when trillions recycle from GPs to LPs, the case for simply owning whoever crosses $100 billion, the risk of everyone crowding into three names, and the possibility of an eventual OpenAI versus Anthropic price war.

    Notable Quotes

    “So we have fewer unicorns that are each raising more.”

    Thomas Laffont, summarizing how funding per unicorn has risen roughly 5x since 2021

    “The reason is that the quality of SpaceX’s business model increases the more you launch.”

    Thomas Laffont, explaining the CODE framework and why valuation per launch rises with cadence

    “The winners are compounding faster than ever, which means the costs of not being in a winner are higher than ever.”

    Thomas Laffont, on the central risk of a power-law market

    “And by the way, we don’t even have super intelligence yet.”

    Thomas Laffont, closing his takeaways on how early the transformation still is

    “These are companies generating substantial revenue at scale that are growing faster than anything we’ve ever seen.”

    Thomas Laffont, pushing back on the idea that AI valuations rest on fake companies

    “It will be the great antiseptic. It will not care about my presentation.”

    Thomas Laffont, on the public market as the ultimate test for SpaceX, OpenAI, and Anthropic

    “Anthropic pre-cloud code was a completely different company than post cloud code.”

    Thomas Laffont, on why he won’t over-read a small sample of hyper-compounders

    “The power law rules our lives. All the great gains are being consolidated into small numbers of companies.”

    An All-In host, framing the Q&A on concentration in private markets

    This is a curated set of highlights. To hear the full presentation, the slide walkthrough, and the complete Q&A with Chamath and Jason Calacanis, watch the full conversation here.

    Related Reading

    • Coatue Management. Primary source for Thomas Laffont’s firm and the technology investing strategy behind the deck.
    • The All-In Podcast. The show and summit where Laffont made this premiere presentation.
    • Power law (Wikipedia). Background on the distribution Laffont and the hosts say governs venture and public-market returns.
    • The Magnificent Seven (Wikipedia). The public-market benchmark Laffont’s private “Magnificent 8” index is measured against.
    • Cerebras Systems. The AI chipmaker Laffont cites as the slow-grind IPO that was eventually transformed by a major OpenAI contract.

  • SpaceX S-1 IPO Filing Breakdown, Ticker SPCX on Nasdaq and Nasdaq Texas, xAI Integration, Musk’s Trillion Share Mars Pay Plan, $18.7B Revenue, and the 100 Gigawatt Orbital AI Compute Bet

    Space Exploration Technologies Corp. filed its S-1 registration statement with the SEC on May 20, 2026, kicking off the largest and weirdest IPO in modern capital markets history. The 280-page preliminary prospectus proposes to list Class A common stock on both the Nasdaq Stock Market and the new Nasdaq Texas exchange under the ticker SPCX, bundles xAI into SpaceX as a third reportable segment via a February 2026 reorganization under common control, and asks public investors to underwrite a $28.5 trillion total addressable market that explicitly includes asteroid mining, lunar manufacturing, Mars passenger transport, and 100 gigawatts per year of orbital AI compute on solar-powered satellites. The filing reports $18.67 billion of 2025 revenue and a $4.94 billion net loss, with a Q1 2026 net loss of $4.28 billion driven almost entirely by the AI segment’s $7.7 billion of quarterly capex.

    TLDR

    SpaceX is going public on Nasdaq and Nasdaq Texas as SPCX, led by Goldman Sachs, Morgan Stanley, BofA Securities, Citigroup, and J.P. Morgan. The company has been reincorporated in Texas, headquartered at Starbase, structured as a perpetual dual-class controlled company with Class B shares carrying 10 votes each and electing a majority of the board, and post-merger contains three segments: Space (Falcon, Dragon, Starship), Connectivity (Starlink with 10.3 million subscribers across 164 countries and roughly 9,600 satellites in orbit), and AI (the former xAI, including the Colossus and Colossus II superclusters in Memphis totaling about 1.0 gigawatt of nameplate compute, Grok, and the X platform with 550 million MAUs). Revenue grew from $10.4 billion in 2023 to $14.0 billion in 2024 to $18.7 billion in 2025, with Connectivity contributing $11.4 billion at a 63% segment Adjusted EBITDA margin and the new AI segment burning $1.2 billion of segment Adjusted EBITDA in 2025 while spending $12.7 billion of capex. Elon Musk holds an unspecified majority of the voting power, has a base salary of $54,080 unchanged since 2019, no key-person life insurance, and was granted in January and March 2026 a combined roughly 1.3 billion performance-restricted Class B shares that vest against market-cap milestones from $500 billion up to $7.5 trillion, with the highest tranches contingent on building a permanent Mars colony of one million inhabitants and on deploying non-Earth data centers delivering 100 terawatts of compute per year. The prospectus discloses Anthropic’s $1.25 billion per month compute deal through May 2029, a $60 billion option to acquire Cursor (Anysphere) with a $10 billion combined break fee, the Terafab one-terawatt-per-year chip JV with Tesla and Intel, the $19.6 billion EchoStar spectrum acquisition, a $20 billion SpaceX Bridge Loan, a $5 billion amended revolver, a Houston-exclusive Texas Business Court forum clause with ICC arbitration fallback, and several uniquely SpaceX risk factors including third-party Musk conduct triggering foreign asset seizures, anti-satellite weapons, cascading cyber-induced orbital debris events, and Grok’s named “Spicy” Imagine Mode and “Unhinged” Voice Mode.

    Key Takeaways

    • Ticker SPCX, dual listed on Nasdaq and Nasdaq Texas, Class A par $0.001, joint lead bookrunners Goldman Sachs, Morgan Stanley, BofA Securities, Citigroup, and J.P. Morgan, with a 22-firm syndicate including Barclays, Deutsche Bank, RBC, UBS, Wells Fargo, Allen & Company, Cantor, Needham, Raymond James, Societe Generale, Stifel, William Blair, BTG Pactual, ING, Macquarie, Mirae Asset, Mizuho, and Santander.
    • Headquartered at 1 Rocket Road, Starbase, Texas. Reincorporated from Delaware to Texas on February 14, 2024. Five-for-one forward stock split executed May 4, 2026. All share data in the filing is post-split.
    • Perpetual dual-class structure with no sunset. Class A carries 1 vote per share, Class B carries 10 votes per share, Class C carries no votes (and has been eliminated via the Class C Reclassification). Class B converts to Class A only on a non-permitted transfer.
    • Class B holders elect a majority of the board (the Class B Directors), as long as any Class B shares remain outstanding. Removing Musk from CEO or Chairman requires a separate Class B majority vote. SpaceX will be a Nasdaq controlled company and will rely on the exemptions, meaning no requirement for fully independent compensation or nominating committees.
    • Consolidated revenue: $10.39 billion in 2023, $14.02 billion in 2024, $18.67 billion in 2025, and $4.69 billion in Q1 2026 (up 15.4% year over year). Financials are retrospectively recast to combine xAI and X Holdings since both transactions were between entities under Musk’s common control.
    • Net income (loss): $(4.63) billion in 2023, $0.79 billion in 2024, $(4.94) billion in 2025, and $(4.28) billion in Q1 2026. Accumulated deficit pro forma $41.31 billion as of March 31, 2026.
    • Connectivity (Starlink) is the cash engine. 2025 revenue $11.39 billion, up 49.8%. 2025 operating income $4.42 billion, up 120.4%. 2025 segment Adjusted EBITDA $7.17 billion, up 86.2%. Consumer subscriptions are more than 60% of Connectivity revenue.
    • Starlink subscribers: 2.3 million at year-end 2023, 4.4 million at year-end 2024, 8.9 million at year-end 2025, and 10.3 million as of March 31, 2026. Roughly 9,600 broadband and mobile satellites in low Earth orbit, about 75% of all active maneuverable satellites globally. Available in 164 countries and territories.
    • Starlink ARPU is declining as the mix shifts international and lower priced: $99 monthly in 2023, $91 in 2024, $81 in 2025, $66 in Q1 2026. Management says this is expected to continue.
    • Starlink direct to cell now has roughly 650 V1 Mobile satellites and 7.4 million monthly unique devices across about 30 countries, with partnerships across roughly 30 mobile network operators including T-Mobile, Rogers, KDDI, Optus, Telstra, One NZ, Kyivstar, VMO2, Salt, and Entel. V3 satellites begin deploying in the second half of 2026, designed for 1 Tbps downlink per satellite with up to 60 per Starship launch (a 20x payload-capacity step over Falcon 9).
    • Space segment now generates lower revenue growth because Starlink dedicated launches are not booked as inter-segment revenue. Space revenue: $3.56 billion (2023), $3.80 billion (2024), $4.09 billion (2025). Falcon launches in 2025: 165 total, 43 third-party customer and 122 internal Starlink. Mass to orbit: 1,210 metric tons (2023), 1,699 (2024), 2,213 (2025). SpaceX has now launched more than 80% of the world’s mass to orbit since 2023.
    • Falcon 9 has flown roughly 620 missions with greater than 99% mission success. A single booster has been reflown 34 times. Falcon Heavy is 11-for-11 since 2018 and certified for NSSL. SpaceX flew 11 of 12 NSSL medium and heavy lift missions in 2025.
    • Starship has completed 11 flight tests and is preparing the 12th, debuting next-generation Starship, Super Heavy, and Raptor 3 from a new Starbase pad. V3 is designed for 100 metric tons fully reusable to LEO, V4 targets 200 tons. Cumulative Starship R&D investment is greater than $15 billion, including $3.00 billion in 2025 alone. Operational payload delivery to orbit is expected in the second half of 2026.
    • Dragon has flown 78 crewmembers from 20 countries since 2020 and Cargo Dragon remains the only spacecraft capable of returning meaningful mass from the ISS.
    • AI segment, the absorbed xAI business plus X, generated $818 million Q1 2026 revenue but operating losses of $(2.47) billion and segment Adjusted EBITDA of $(609) million. AI capex was $7.72 billion in Q1 2026 alone, dwarfing Space ($1.05 billion) and Connectivity ($1.33 billion).
    • Colossus and Colossus II in Memphis and Southaven Mississippi together provide about 1.0 gigawatt of nameplate compute draw. Colossus came online in 122 days with about 100,000 H100s. Colossus II added 110,000 GB200s in 91 days and 110,000 GB300s in 64 days. Next phase: another 220,000 GB300s and 400 megawatts. Industry benchmark for a 100 megawatt greenfield datacenter is two years.
    • Grok and X together have 1.3 billion supported accounts on a trailing basis, about 550 million MAUs, roughly 117 million MAUs using Grok AI features, and roughly 350 million daily posts. Imagine generates about 10 billion images and 2 billion videos per month. Paid subscribers totaled 6.3 million as of March 31, 2026 (4.4 million X Premium variants plus 1.9 million SuperGrok variants).
    • Disclosed Anthropic cloud services agreements signed May 2026: Anthropic pays $1.25 billion per month for compute capacity on Colossus and Colossus II through May 2029, ramping in May and June 2026, with 90-day termination by either party.
    • Cursor (Anysphere) compute agreement and acquisition option signed April 2026: SpaceX has the right but not the obligation to acquire Cursor at an implied $60.0 billion equity value, paid in Class A stock priced off the SPCX VWAP. SpaceX-side termination or breach triggers a $1.5 billion termination fee plus an $8.5 billion deferred services fee.
    • Terafab JV with Tesla, announced March 2026, joined by Intel in April 2026, targets one terawatt per year of compute hardware production. The filing explicitly notes that neither Tesla nor Intel is obligated to remain, and definitive agreements may not be signed.
    • Macrohard, in development with Tesla, is described as a platform designed to fully emulate digital workflows, augment human computer operation, and create a fully AI-operated software company.
    • EchoStar Spectrum Transaction (AWS-3, AWS-4, H-block, 65 megahertz US plus global MSS) was FCC-approved May 12, 2026. Total deal value $19.6 billion, including roughly $11.1 billion of equity (261.8 million Class A shares at an implied $42.40) and up to $8.5 billion of debt assumption. Closing expected around November 30, 2027.
    • Balance sheet as of March 31, 2026: cash and equivalents $15.85 billion, short-term marketable securities $7.82 billion, total assets $102.09 billion, total liabilities $60.51 billion, total debt principal $29.13 billion. The $20 billion SpaceX Bridge Loan (Goldman Sachs Bank USA as administrative agent, March 2026) refinanced legacy X and xAI debt and must be repaid within six months of IPO. The amended SpaceX Credit Facility, also May 2026, was upsized to $5.0 billion and extended to May 19, 2031.
    • Use of proceeds: expansion of AI compute infrastructure, enhancements to launch infrastructure and launch vehicles, increases in satellite constellation scale and capacity, and general corporate purposes. No dividends are anticipated and the credit agreements restrict them.
    • Total addressable market estimate of $28.5 trillion (ex-China and Russia): Space $370 billion, Connectivity $1.6 trillion ($870 billion broadband and $740 billion mobile), and AI $26.5 trillion ($2.4 trillion infrastructure, $760 billion consumer subscriptions, $600 billion digital advertising, and $22.7 trillion enterprise applications).
    • Stated future markets explicitly listed in the prospectus: point-to-point Earth transport via Starship, space tourism, in-orbit manufacturing including pharmaceuticals and materials, passenger and cargo to Moon and Mars, lunar mining of rare materials, lunar mass driver, lunar factories building AI compute satellites, asteroid mining, and orbital solar-powered AI. The headline aspirational target is 100 gigawatts per year of orbital AI compute on solar-powered satellites in Sun-synchronous orbit, with first deployments targeted as early as 2028.
    • Musk 2025 total compensation $54,080 (base salary unchanged since 2019, tied historically to California’s exempt-employee minimum). No bonus, no stock or option awards reported for 2025. SpaceX maintains no key-person life insurance on Musk.
    • January 13, 2026 Musk grant: 1 billion performance-based restricted Class B shares across 15 equal tranches tied to market-cap milestones from $500 billion to $7.5 trillion (in $500 billion increments), with at least one tranche additionally gated on “a permanent human colony on Mars with at least one million inhabitants” and on continued employment.
    • March 23, 2026 Musk replacement award (assumed from xAI): 302,072,285 performance-based restricted Class B shares across 12 tranches from $1.065 trillion to $6.565 trillion market cap, additionally requiring completion of “non-Earth-based data centers capable of delivering 100 terawatts of compute per year.” Replaces an earlier xAI award after Musk had already earned and canceled 25,172,695 Class A shares at the first milestone.
    • Gwynne Shotwell 2025 total compensation $85.81 million, primarily option awards. Bret Johnsen (CFO) 2025 total compensation $9.84 million. Non-employee directors received zero cash and zero equity for 2025 service.
    • Board of 8 post-IPO: Musk (Chairman, CEO, CTO), Shotwell (President, COO), Antonio Gracias (Valor Management), Ira Ehrenpreis (DBL Partners and Tesla), Randy Glein (DFJ Growth, audit chair), Donald Harrison (Google), Steve Jurvetson (Future Ventures), and Luke Nosek (Gigafund and Founders Fund). Class B Directors: Musk, Shotwell, Gracias, Harrison, Nosek. Common Stock Directors: Ehrenpreis, Glein, Jurvetson.
    • Lock-up is 180 days for company, directors, and officers, but Musk and certain significant investors are subject to an extended 366-day lock-up, and 100% of Musk’s shares are explicitly not subject to early-release tiers. A Directed Share Program with Schwab, Fidelity, Robinhood, SoFi, and E*TRADE handles retail allocation; DSP shares have no lock-up.
    • Corporate Opportunities waiver in the charter renounces interest in business opportunities presented to directors, officers, board observers, and their affiliates. Musk and his affiliates are explicitly not restricted from competing with SpaceX. This carve-out covers Tesla, Neuralink, The Boring Company, and any future Musk venture.
    • Exclusive forum is the Texas Business Court, Eleventh Division, in Houston, including for federal securities claims. If unenforceable, the fallback is mandatory ICC arbitration in Houston under Expedited Procedure Rules. Jury trial is waived. Class actions are prohibited.
    • Texas Business Organizations Code carve-outs: Section 21.419 codifies a statutory business-judgment-rule presumption, Section 21.552 requires 3% minimum ownership to bring derivative proceedings, and Section 21.373 (2025) requires 3% ownership for six months plus solicitation of 67% of voting power for shareholder proposals (SpaceX concedes enforceability is “expected” to be challenged).
    • Unprecedented risk-factor disclosure: in August 2024 Brazil’s Supreme Court froze Starlink’s Brazilian assets over the conduct of X “when X was not owned by us and was only affiliated with Mr. Musk.” SpaceX warns that third-party Musk conduct may continue to trigger foreign retaliation against SpaceX.
    • Risk language names Grok’s “Spicy” Imagine Mode and “Unhinged” Voice Mode as carrying heightened risks of explicit content, misinformation, and “potential nonconsensual or exploitative imagery.” A putative class action over content “representing children in sexualized contexts” is disclosed, as is an Irish DPC GDPR inquiry into Grok and an FTC inquiry into chatbots as companions for children and teens.
    • The S-1 uses the term “Department of War” (not Defense) for the federal customer requiring CMMC compliance and discloses that anti-satellite weapons have been publicly discussed by foreign governments as a tool against the Starlink constellation. A cyberattack-induced cascading Kessler-style debris event is cited as a possibility.
    • Workforce of more than 22,000 full-time employees globally, with no collective bargaining and engineering acceptance rate under 2% in 2025.
    • Operating asset footprint: Starbase (Texas, HQ, Starship), Hawthorne (California, Falcon, Dragon, Merlin and Raptor), McGregor (Texas, engine testing), Redmond (Washington, Starlink satellite production at about 70 per week), Bastrop (Texas, terminal production at tens of thousands per day, doubling in 2026 to include AI compute satellites), Kennedy and Cape Canaveral (Florida, LC-39A, SLC-40, SLC-37 in build for Starship), Vandenberg (California, SLC-4 polar launches), Memphis and Southaven (Tennessee and Mississippi, Colossus data centers), Palo Alto (California, xAI HQ), more than 400 Starlink ground stations globally, and three autonomous spaceport drone ships including “Of Course I Still Love You,” “Just Read the Instructions,” and “A Shortfall of Gravitas.”
    • Related party transactions of note: roughly $20.2 billion of equipment lease undiscounted payments to Valor (Gracias) entities guaranteed by SpaceX; aircraft, security, and tunnel-construction payments to Musk affiliates; xAI subsidiary leases real property from Musk Industries LLC.
    • Pampena v. Musk: an April 3, 2026 partial judgment in the Northern District of California, where a jury found Musk personally violated Section 10(b) and Rule 10b-5 on two May 2022 statements regarding his Twitter purchase. Post-trial motions are pending. The 2018 SEC “funding secured” settlement is also disclosed.
    • Critical accounting policy quirks: flight vehicles are depreciated over expected average number of flights rather than time. Starship costs are expensed to R&D until commercialization, then capitalized. Starlink dedicated launch costs are capitalized into Connectivity PP&E rather than booked as inter-segment Space revenue, which mechanically suppresses the headline Space growth rate.
    • The One Big Beautiful Bill Act (Public Law 119-21) reversed a $659 million U.S. R&D credit deferred tax asset recognized in 2024, driving the 2025 income tax provision of $718 million versus a $549 million benefit in 2024.
    • Pre-IPO ownership pro forma at March 31, 2026: Class A 6,824,581,339 shares and Class B 5,695,729,430 shares outstanding, for a combined 12.52 billion shares before primary issuance. Class C and the redeemable convertible preferred are converted/reclassified at close.
    • Authorized capitalization post-IPO: 36.13 billion Class A, 6.13 billion Class B, 10.0 billion Class C (none issued), and 2.4 billion preferred (none issued). Headroom for future issuance is enormous.
    • Five-for-one stock split executed May 4, 2026 to set the IPO share count and round-lot price. Price range, share count, and proceeds are bracketed in this preliminary filing and will be updated before launch.

    Detailed Summary

    A different kind of S-1 from the start

    Most S-1 filings open with corporate prose and a careful, neutral business description. SpaceX opens with an Elon Musk epigraph about wanting to wake up in the morning and “think the future is going to be great,” a mission statement that says the company exists “to make life multiplanetary, to understand the true nature of the universe, and to extend the light of consciousness to the stars,” and a Kardashev Type II framing that treats the next century of capital allocation as a civilizational project. Investors are being told, in legally binding language, that single-planet existence is “a single point of failure” and that the company is hedging against humans sharing the fate of the dinosaurs. The filing dual-lists SPCX on Nasdaq in New York and Nasdaq Texas in Dallas, picks the new Texas Business Court in Houston as exclusive forum, and reincorporates from Delaware to Texas. Every macro signal is set deliberately.

    Three segments after the xAI absorption

    The most consequential mechanical change in the S-1 is the retrospective recast of financial statements to combine xAI Holdings and X Holdings into SpaceX. Both transactions are accounted for as reorganizations of entities under common control (Musk’s), so prior-period revenue, opex, and capex move into the SpaceX line items rather than appearing as acquired-business additions. This is what produces the headline numbers: $10.4 billion (2023), $14.0 billion (2024), $18.7 billion (2025). The Space segment includes Falcon, Dragon, and Starship. Connectivity is Starlink in all its consumer, enterprise, government, and mobile forms plus the Starshield military variant. AI is the former xAI in full: Colossus and Colossus II superclusters, Grok, the X platform, and the Imagine media products. The recast also explains why net income flips so violently year to year. 2024’s $791 million net income reflects a quieter pre-merger SpaceX. 2025’s $4.94 billion net loss and Q1 2026’s $4.28 billion loss reflect the integrated AI business burning capital at unprecedented rate.

    Connectivity is the cash engine

    Starlink is the only segment that looks like a normal high-margin growth business. Revenue rose 96.4% in 2024 and another 49.8% in 2025 to $11.39 billion. Operating income tripled in 2024 and then doubled again in 2025 to $4.42 billion. Segment Adjusted EBITDA in 2025 was $7.17 billion, an EBITDA margin north of 60%. Subscribers grew from 2.3 million to 10.3 million in twenty-seven months. The constellation is now roughly 9,600 satellites, about 75% of all active maneuverable satellites on orbit. Inter-satellite laser links exceed 23,000, forming a mesh that delivers 700+ Tbps of cumulative downlink. ARPU is declining steadily, from $99 monthly in 2023 to $66 in Q1 2026, but management frames this as deliberate international mix shift toward lower priced plans and notes that direct-to-cell is just beginning to monetize. Roughly 650 V1 Mobile satellites already provide service to 7.4 million monthly unique devices through partnerships with roughly 30 mobile network operators. The EchoStar spectrum acquisition adds 65 megahertz in the US plus global MSS spectrum to support V2 Mobile broadband and 5G IoT starting in 2027.

    Space economics are obscured by accounting

    The Space segment looks small in the headline financials ($4.09 billion of 2025 revenue, an operating loss of $657 million) until you understand the accounting. Starlink launches are capitalized into Connectivity PP&E rather than booked as inter-segment Space revenue. That single policy is why 2025 Space revenue grew only 7.6% even though SpaceX flew 170 missions, of which 122 were internal Starlink. The actual operating reality is that SpaceX flew more than 80% of the world’s mass to orbit in 2025, owns 24 flight-proven reusable Falcon 9 boosters certified for 40 flights each, has refln a single booster 34 times, and has invested more than $15 billion in Starship to date. Starship’s eleventh flight test is on the books, the twelfth will debut the next-generation vehicle and Raptor 3 engine, and operational payload delivery to orbit is targeted for the second half of 2026. V3 Starship is designed to deliver 100 tons to LEO fully reusable and to carry up to 60 V3 Starlink satellites per launch, a 20x payload step over Falcon 9. The Starship cost target is a 99% reduction against the historical $18,500 per kilogram average, on the way to “airline-like” reflight cadence.

    AI is a money furnace with a thesis

    The AI segment is brand new to the SpaceX line item set and dominates the loss line. AI generated $3.20 billion of 2025 revenue (up 22.2%) but lost $6.36 billion at the operating line, much of it driven by GPU depreciation. AI capex was $12.73 billion in 2025 and another $7.72 billion in Q1 2026 alone. Colossus came online in 122 days with about 100,000 H100s and 130 megawatts. Colossus II followed with 110,000 GB200s in 91 days and 110,000 GB300s in 64 days, with another 220,000 GB300s and 400 megawatts in the next phase. The two superclusters now draw about one gigawatt combined. Grok-5 is training on Colossus II, targeting multi-trillion parameters. The X platform contributes 550 million MAUs and roughly 350 million daily posts to the segment, with 117 million MAUs touching Grok AI features. The thesis the prospectus is pitching is vertical integration on physics: SpaceX controls power generation (data center turbines and, eventually, orbital solar), launch (Starship to lift orbital compute satellites), satellite manufacturing (Redmond and Bastrop), chip supply (Terafab JV with Tesla and Intel for one terawatt per year of compute hardware), and the application layer (Grok and X). Management calls this “shovels-to-tokens” and argues no other AI company has this much control over the physical stack.

    The Anthropic, Cursor, and Terafab carve-outs

    Three subsequent events disclosed in the S-1 reframe SpaceX as a cloud and software platform as much as a hardware company. Anthropic signed cloud services agreements in May 2026 to pay $1.25 billion per month for Colossus and Colossus II capacity through May 2029, ramping in May and June 2026. The Cursor (Anysphere) agreement signed April 2026 includes both a compute commitment and an option for SpaceX to acquire the company at a $60 billion implied equity value, with a $1.5 billion termination fee and an $8.5 billion deferred services fee if SpaceX breaches or terminates. Terafab is a manufacturing JV with Tesla, joined by Intel in April 2026, with a stated one terawatt per year compute hardware production target. The prospectus is explicit that Tesla and Intel are not obligated to remain in Terafab and that no definitive agreements may be signed. Anthropic, the leading commercial competitor to OpenAI, is now SpaceX’s largest disclosed cloud customer.

    The Musk pay package

    The CEO compensation disclosure is the most aggressive in S-1 history. Musk’s reported 2025 total compensation was $54,080, a base salary unchanged since 2019. SpaceX maintains no key-person life insurance on him. Then on January 13, 2026 the board granted him one billion performance-based restricted Class B shares, vesting across fifteen equal tranches as market capitalization milestones are achieved at $500 billion increments from $500 billion all the way to $7.5 trillion, with at least one tranche additionally conditioned on the existence of a permanent human Mars colony of at least one million inhabitants and on continued employment. On March 23, 2026 the board granted an additional 302.07 million performance-based restricted Class B shares across twelve tranches from $1.065 trillion to $6.565 trillion of market cap, additionally requiring the completion of “non-Earth-based data centers capable of delivering 100 terawatts of compute per year.” This second grant replaces an earlier xAI award after Musk had already earned 25.17 million Class A shares at the first xAI milestone, which were then canceled and rolled in. The combined package is roughly 1.3 billion restricted Class B shares, dwarfing the Tesla 2018 award that previously held the record. Other executive comp is more conventional. Gwynne Shotwell’s 2025 total was $85.81 million, primarily option awards. Bret Johnsen, CFO, received $9.84 million. Non-employee directors received zero cash and zero equity for 2025 service.

    Governance built to be Musk-proof in one direction only

    SpaceX takes the dual-class playbook further than any prior tech IPO. Class B carries 10 votes per share, has no sunset, and elects a majority of the board as a separate class. Removing Musk from CEO or Chairman requires a separate Class B majority vote, and Musk holds the majority of Class B. The charter renounces interest in business opportunities presented to Musk and his affiliates, explicitly preserving his right to run competing ventures (Tesla, Neuralink, The Boring Company, anything next). The company opts into the Texas Business Organizations Code’s Section 21.419 business-judgment-rule presumption, requires 3% ownership to bring a derivative suit, requires 3% ownership for six months plus solicitation of 67% of voting power to bring shareholder proposals under Section 21.373 (a provision SpaceX itself concedes will likely be challenged in court), picks the Texas Business Court in Houston as exclusive forum even for federal securities claims, and falls back to mandatory ICC arbitration in Houston with Expedited Procedure Rules if forum exclusivity is struck down. Jury trials are waived. Class actions are prohibited. SpaceX will be a controlled company and will rely on Nasdaq exemptions from independent committee requirements. Musk and certain significant investors are subject to a 366-day lock-up rather than the standard 180 days, and 100% of Musk’s shares are excluded from the early-release tiers other holders enjoy.

    Risk factors disclose things no S-1 has disclosed before

    The Risk Factors section contains language no prior S-1 has used. SpaceX warns that “actions and statements of Mr. Musk and his affiliated ventures, whether or not directly relating to us, may draw significant public attention and scrutiny” and notes that in August 2024 the Brazilian Supreme Court froze Starlink’s Brazilian assets over the conduct of X “when X was not owned by us and was only affiliated with Mr. Musk.” That is the precedent: a foreign government seized SpaceX assets over Musk’s separate business conduct. The filing names Grok’s “Spicy” Imagine Mode and “Unhinged” Voice Mode as carrying heightened risks of explicit content and “potential nonconsensual or exploitative imagery,” discloses a putative class action over content “representing children in sexualized contexts,” an Irish DPC GDPR inquiry into Grok’s processing of EU children’s data, and an FTC inquiry into chatbots as companions for children and teens. The orbital risk language describes a cyberattack-triggered cascading Kessler-style debris event that could render SpaceX-licensed orbits “unusable for an extended period,” notes that “certain foreign governments have publicly discussed the potential use of anti-satellite weapons against the Starlink constellation,” and acknowledges that the FAA does not currently permit return-to-launch-site reentries for Starship and the company will require a waiver “which is not guaranteed.” The filing also uses “Department of War” rather than “Department of Defense” when discussing CMMC compliance for federal customers, reflecting the recent rebranding.

    Capital position and the bridge loan time bomb

    The balance sheet is large but the debt structure tells a story about why an IPO is urgent now. SpaceX has $15.85 billion of cash and $7.82 billion of short-term marketable securities against total debt principal of $29.13 billion. The largest piece is the $20 billion SpaceX Bridge Loan signed March 2026 with Goldman Sachs Bank USA as administrative agent, used to refinance legacy X and xAI debt (including X B-1, X B-3, and xAI 12.5% Senior Secured Notes). The bridge matures September 2, 2027 (extendable to March 2028 with a 0.25% fee per quarter), priced at Term SOFR plus 0.75% to 1.75%, with 0.125% duration fees kicking in at year one. It must be repaid within six months after IPO completion. The amended SpaceX Credit Facility was upsized to $5.0 billion and extended to May 19, 2031 in May 2026, with a $2.0 billion performance LC sublimit. The leverage covenant is 3.75x maximum (4.25x post-qualified acquisition). Capex is enormous and consistent: $20.74 billion in 2025 ($3.83 billion Space, $4.18 billion Connectivity, $12.73 billion AI), $10.11 billion in Q1 2026 alone. Operating cash flow ($6.79 billion in 2025) does not cover capex, and the gap is being filled by financing activity ($26.35 billion of net financing inflow in 2025).

    The 100 gigawatt orbital AI bet

    Buried in the Business section is the future-markets framing that justifies the AI-segment burn rate. SpaceX is asking public investors to underwrite a plan to deploy 100 gigawatts per year of orbital AI compute on solar-powered satellites in Sun-synchronous orbit. Reaching that scale requires thousands of Starship launches per year and roughly one million metric tons of mass to orbit annually. First modular orbital AI shells are targeted for “as early as 2028.” The justification given is that the Sun contains roughly 99.8% of the solar system’s energy, that orbital compute escapes terrestrial constraints on power, cooling, latency, and permitting, and that no other AI company controls the physical stack required to deploy at that scale. The prospectus stitches this directly to the Mars project: lunar mining of rare materials, lunar mass drivers to launch satellites at low cost, and lunar factories building AI compute satellites are listed alongside asteroid mining and Mars passenger transport as the future markets investors are being asked to value. The risk language acknowledges that none of these markets currently exist and that breakthrough advances in nuclear energy could moot the orbital compute thesis entirely. Investors are being asked to take Musk’s word that the long-tail outcomes are real options.

    Thoughts

    The most important number in this S-1 is not the revenue, the loss, or the implied valuation. It is the $54,080 Musk salary unchanged since 2019 against the 1.3 billion performance-restricted Class B shares contingent on a Mars colony and 100 terawatts of off-Earth compute. This is a pay package that resolves the question of whether SpaceX is a public-markets-style optimized corporation by answering it directly: no. SpaceX is going public on Musk’s terms, with a perpetual dual-class structure, a controlled-company exemption, a Houston exclusive forum, an arbitration backstop, a class-action prohibition, a charter that explicitly renounces interest in business opportunities Musk gets pitched elsewhere, and a CEO compensation structure that pays nothing for normal performance and 1.3 billion shares for an interplanetary civilization. Investors who buy SPCX are not buying voting power. They are buying optionality on the most ambitious capital allocation thesis a public company has ever attempted, contingent on Musk continuing to deliver outcomes the rest of the industry cannot.

    The xAI absorption is the most consequential corporate event in the prospectus and the one most worth scrutinizing. Accounting it as a common-control reorganization is technically defensible because Musk controlled all three entities, but the practical effect is to fold xAI’s enormous compute burn and X’s separate litigation surface area into SpaceX’s reported financial history without showing the deals as acquisitions. The Q1 2026 net loss of $4.28 billion is almost entirely xAI capex pulling forward. The two segments that actually make money (Connectivity at a 63% Adjusted EBITDA margin, Space when you adjust for the launch accounting policy) are being asked to subsidize an AI build-out that requires the orbital compute thesis to come true to ever generate adequate returns. Strip out AI and SpaceX would be one of the highest-quality businesses ever taken public. Include AI and it is something more like a venture-stage company stapled to a cash-flow machine, with the venture stage absorbing the cash. That is the trade the IPO is asking the market to price.

    The risk-factor language about third-party Musk conduct triggering foreign asset seizures is the cleanest single articulation in any S-1 of why founder-led companies with cross-portfolio exposure are different from normal public companies. The Brazil precedent is real, the legal theory is established, and the prospectus admits it directly. Buying SPCX means accepting that a fight between Musk and a foreign government over X content moderation, a Neuralink ethics dispute, a Boring Company permit fight, or a future venture entirely unrelated to space could trigger a freeze on Starlink subscriber revenue in that country. The Corporate Opportunities waiver is the legal mechanism that makes this acceptable to the board. It is far from clear that it is acceptable to public-market shareholders. The early reception of SPCX will partly be a referendum on whether the market thinks Brazil 2024 was a one-time event or a template.

    The Anthropic disclosure is the funniest detail. SpaceX, controlled by Musk, is now selling roughly $15 billion per year of compute to Anthropic, a company explicitly founded by former OpenAI researchers who broke away from the OpenAI-Musk faction in 2021. SpaceX-Colossus is now Anthropic’s largest disclosed compute supplier through May 2029, on 90-day termination by either side. The OpenAI lawsuit, the xAI launch, and the Grok positioning as the “truth-seeking” anti-OpenAI all sit in tension with the fact that Anthropic now anchors xAI’s third-party compute revenue. The economic logic is simple. The political logic, given the lockup of compute supply that this deal effectively creates, is fascinating. Public investors are being asked to underwrite a business where the largest compute customer is a direct AI competitor and where that supply contract is the single biggest piece of disclosed enterprise AI revenue.

    What this IPO most resembles is not Tesla’s 2010 deal or Twitter’s 2013 deal but rather a hybrid of the East India Company chartering and a moonshot R&D vehicle taken public. It is a real cash-flowing business at the Connectivity layer (the largest satellite ISP on Earth) wrapped around a launch monopoly (more than 80% of global mass to orbit) wrapped around a venture-stage AI laboratory (Colossus, Grok, the Anthropic deal, the Cursor option) all underwritten by a CEO compensation structure whose biggest payoffs require a Mars colony. The investor question is not whether any individual piece works, because three of the four pieces clearly do. The question is whether the public market will price the orbital compute and Mars optionality at zero, at a small positive number, or at the eye-watering multiple the $7.5 trillion top tranche of Musk’s pay package implies the board thinks is achievable. There is no precedent for a public company successfully executing on that scale of ambition. There is also no precedent for SpaceX, Starlink, Falcon 9, or Colossus II coming online in 91 days. The S-1 reads like the company assumes the precedent is itself.

    Read the full SpaceX S-1 filing on the SEC EDGAR system for the complete prospectus, including the financial statements and all related disclosures.