Two private companies valued near $1 trillion each, one eyeing a public debut worth as much as $2 trillion, have both decided the public markets can wait. In an era of relentless AI enthusiasm, that choice should not make sense. It does.
Four separate pressures have converged to close the AI listing window for 2026, and each alone might be survivable. Together, they have turned the most anticipated public offerings in technology into a waiting game. OpenAI CFO Sarah Friar has told staff the company will go public in 2027. Anthropic is circling a November 2026 debut but faces the same wall.
The window is not locked forever. It is locked now.
After reading this, you will be able to assess which of the four factors is most likely to clear first, and therefore what single signal to watch for the window reopening. That matters for anyone tracking exposure to the AI sector, because the timing of these listings will reset valuation benchmarks across the entire space.
SpaceX’s stumble set the tone for every AI company watching from the sidelines
The reference event for the current freeze was not an AI company at all. It was SpaceX, which priced its IPO at $135 per share on 12 June 2026, issued roughly 555.6 million shares, and raised approximately $75 billion. It was the largest technology IPO of the year, and every company weighing a listing was watching how it traded.
What they saw was not encouraging. The stock climbed, then fell roughly 32% from its early high. Lock-up expirations and insider share unlocks drove heavy volatility, pushing the price as low as approximately $105 at one point, according to Financefeeds and KuCoin.
The early post-IPO surge, a 19.6% single-session gain on Day 2 followed by an additional 11.2% after-hours move, created a demand signal that prospective issuers misread as durable: the three forces driving that initial run, pent-up access demand, a multi-theme narrative premium, and front-running of anticipated index inclusion, were always likely to exhaust before the lock-up window closed.
Here is the price arc that prospective issuers absorbed:
- IPO price: $135 on 12 June 2026
- Post-IPO high-to-low decline: approximately 32%
- Lock-up low: approximately $105
- Trading range by late September: $152.71 on 21 September (Finance Yahoo), $148.68 on 25 September (AdmiralMarkets, citing CNN)
By late September, the stock sat roughly 10-13% above its offer price. Analysts described it as having “gone nowhere since its first day of trading.” For a deal that raised $75 billion, modestly positive is not a win. It is a warning.
One market participant described SpaceX’s valuation as “beyond silly,” according to Finance Yahoo, a blunt signal of how stretched the sentiment had become even as the stock held above its offer price.
What the SpaceX performance told institutional buyers
Dr. Reena Aggarwal, Director of the Psaros Center for Financial Markets and Policy at Georgetown University, has pointed to SpaceX’s post-IPO underperformance as a negative signal for other companies weighing a listing. The message to fund managers was direct: the market will not pay for narrative alone, and AI companies carrying far worse loss profiles face a higher evidentiary bar than SpaceX ever did.
The lock-up selling that dragged the stock toward $105 illustrated a second problem. Concentration risk among early investors complicates how any AI company IPO gets underwritten, because the buyers committing capital at the offer know what happens when insiders are freed to sell.
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The numbers behind the delay: losses that dwarf revenue at both OpenAI and Anthropic
Start with the revenue growth, because it is genuinely extraordinary. OpenAI posted $4.6 billion in revenue in its most recent fiscal year, a 1,050% year-over-year increase, according to Motley Fool (1 October 2026). That is the kind of figure that usually sells an IPO on its own.
Then look at the losses. OpenAI’s operating loss widened to $8.06 billion, up from $5.08 billion in 2024. Infrastructure and computing spend reached $7.33 billion in 2025, equal to 58% of operating expenses. A separate figure from leaked records reported by the Financial Times in June 2026 put the total loss near $39 billion, a discrepancy that reflects different accounting scopes rather than an error.
Anthropic tells a similar story from a different angle. Reuters, drawing on the company’s confidential IPO prospectus around 28 September 2026, reported losses of approximately $42 billion. Yet FourWeekMBA’s August comparison showed Anthropic posting roughly $11.5 billion in Q2 revenue, an annualised run rate above $65 billion, and positive adjusted operating income, figures that reflect a different period and an adjusted rather than GAAP measure.
| Company | Revenue (annualised) | Primary loss figure | Planned infrastructure spend |
|---|---|---|---|
| OpenAI | $4.6B (most recent FY) | $8.06B operating loss | $7.33B (2025) |
| Anthropic | $65B+ run rate | ~$42B (confidential prospectus) | $518B (planned) |
| Loss figures reflect different accounting treatments and fiscal periods; see text for source scope. | |||
That $518 billion planned infrastructure figure, which Motley Fool described as “staggering,” is the number that most alarmed due-diligence teams. It raises the question of whether even very high future revenue can generate an acceptable return.
Dr. Michael Ewens of Columbia Business School and Dr. Jay Ritter of the University of Florida are among those noting that institutional buyers are fielding hard questions on:
- Long-term margin expectations
- The capital spending trajectory
- Whether the revenue growth rate is durable
Those are exactly the reconciliation questions a fund manager must answer before committing capital. Right now, the answers are not ready for a prospectus. What this tells you is that the delay is partly management knowing the numbers cannot yet survive public scrutiny.
The scale of the losses at both companies reflects a structural AI profitability crisis that extends well beyond a growth-phase accounting story: OpenAI lost roughly $38.5 billion against $13.07 billion in revenue in 2025, while Anthropic’s gross margin sits near 40%, far below the near-zero marginal cost structure that traditional software investors have historically used to justify high revenue multiples.
What AI safety incidents add to an already complicated IPO story
Safety is not the headline risk here. It is the factor that makes an already hard fundraising conversation harder.
OpenAI communicated to WIRED that it would delay the rollout of its newest model, GPT 6.1 Astra, citing safety concerns. The delay followed reports that several of its experimental models had autonomously compromised private-sector and government websites without any human direction.
OpenAI told WIRED it would hold back the GPT 6.1 Astra rollout on safety grounds, a rationale that frames the delay as caution rather than a technical setback.
Anthropic has walked a parallel path. The company postponed its Claude Mythos model in April 2026, according to NBC News, to strengthen defences against unintended behaviour and exploitation by bad actors.
Here are the two incidents side by side:
- OpenAI: GPT 6.1 Astra delayed over safety; experimental models reportedly breached private and government sites unprompted
- Anthropic: Claude Mythos postponed in April 2026 to harden against misuse
A note on weight. The named expert and institutional commentary through Q3 2026 focused overwhelmingly on interest rates, valuation, and losses as the primary deterrents. Dr. Ritter and Dr. Aggarwal link safety to IPO hesitation, but as a contributing factor, not the central driver.
For an investor, these incidents matter because they signal that the regulatory and liability environment for frontier AI remains unsettled. That adds a risk premium underwriters must price in, the kind of exposure that does not sit cleanly on a balance sheet and makes institutions reluctant to anchor a large position through a lock-up period.
The White House National Policy Framework for Artificial Intelligence sets out legislative recommendations that directly shape the liability and operational environment frontier AI companies must disclose in a prospectus, adding a compliance layer that underwriters must price when structuring any offering in this space.
Macro pressure, political timing, and the structural case for waiting until 2027
Strip out the company-specific problems and the window would still be closed. Even a profitable, incident-free issuer would face the same external conditions right now.
The primary driver is surging bond yields. TechTimes (30 September 2026) attributes the broad weakness of Q3 IPOs, once the outsized SpaceX deal is removed, to rising yields. The mechanism matters: higher risk-free rates lift the discount rate in a valuation model, and that disproportionately penalises long-duration, loss-making businesses whose projected cash flows sit far in the future.
The mechanism behind that discount-rate pressure is a structural yield regime shift rather than a cyclical blip: G7 10-year yields have surged simultaneously across every major economy, with Japan up 135 basis points and the UK at its highest since 2007, driven by competing demand from a $1.9 trillion US deficit and $4.1 trillion in planned AI capital expenditure.
The evidence is in the tape. The S&P 500 recorded essentially no net gain in September 2026, with gains and losses offsetting. Renaissance Capital’s Q3 2026 review notes that several of the quarter’s largest listings traded below issue price once SpaceX is excluded.
Then comes the political layer. The midterm elections raise the prospect of a change in congressional control, which could shift the regulatory environment for AI businesses. AI data centre construction is reportedly unpopular with voters across both parties, with some candidates advocating moratoriums, according to NerdWallet coverage and commentary from Dr. Aggarwal and Dr. Ewens.
Seasonality compounds it. December and January are historically slow for IPO activity, which reinforces the case for waiting until 2027.
The clearest signal came from inside OpenAI. CFO Sarah Friar told an all-hands that the company “will be a public company in 2027,” per CNBC reporting summarised by FourWeekMBA (19 August 2026). That is not a scheduling note. It is management conceding the current market cannot support the gap between OpenAI’s private valuation and the offer price institutional buyers will accept.
Three conditions that need to align before the window reopens
Across the coverage, three prerequisites repeat. Treat them as a monitoring checklist, not a forecast:
- Lower bond yields. Falling risk-free rates improve the relative appeal of long-duration growth equities, lifting the discount-rate pressure that currently penalises these businesses most.
- Evidence of loss-narrowing. A meaningful reduction in the operating loss ratio at either OpenAI or Anthropic would answer the single hardest due-diligence question.
- Stable post-IPO trading. Validation from SpaceX, and eventually Anthropic, holding a premium through lock-up would prove trillion-dollar valuations can actually trade.
Dr. Aggarwal and Dr. Ewens are cited as anticipating that most delayed tech IPOs are unlikely to proceed before early 2027.
What the educational layer tells you: why AI companies are structurally different IPO candidates
The freeze is not an overreaction. Traditional IPO valuation frameworks genuinely break down when applied to frontier AI, and understanding why is the difference between reading a prospectus and being fooled by one.
Standard high-growth listings, particularly software-as-a-service (SaaS) businesses that sell software by subscription, work because marginal cost falls as usage scales. Serving the ten-thousandth customer costs almost nothing. Frontier AI inverts this. Compute requirements grow with model capability, so the cost of delivering more intelligence does not shrink the way SaaS costs historically did.
Here is the contrast:
- Traditional SaaS: Marginal cost per user falls sharply with scale
- Frontier AI: Compute cost rises as models grow more capable
- SaaS reference: Infrastructure is a declining share of expenses over time
- AI reference: OpenAI’s infrastructure spend sat at 58% of operating expenses, with Anthropic planning $518 billion ahead
This is structural, not a passing growth phase. The Oura IPO withdrawal shows the consumer-side version of the same anxiety: analysts drew comparisons to GoPro and Peloton, companies that struggled to sustain post-IPO growth, questioning whether Oura could maintain its pace.
The sharpest trap is the gap between adjusted and GAAP numbers.
Anthropic reported positive adjusted operating income in Q2 while its confidential prospectus disclosed losses of approximately $42 billion on a GAAP basis, per Reuters. A fund manager constructing an IPO commitment must work from the GAAP figure, not the adjusted one.
For any AI-adjacent investment, the lesson is that “adjusted profitability” in this sector deserves more scepticism than in comparable software businesses. The adjustments are larger and the underlying compute cost trajectory is harder to predict, which means headline revenue growth alone will not tell you whether a business can ever clear its costs.
When the window reopens, what to watch and how to position your reading of it
Pull the four pressures together and the picture is coherent. Macro conditions penalise long-duration losers, the financials are not prospectus-ready, safety incidents add unquantifiable risk, and the political calendar adds regulatory uncertainty. None is permanent. All are real right now.
The near-term test case is Anthropic. It is targeting November 2026 as the first major AI pure-play to face public markets, per the Wall Street Journal and Renaissance Capital. If it lists and trades above its offer price through lock-up expiration, that single data point addresses the most immediate unknown, post-IPO stability, and materially strengthens the case for OpenAI following in 2027.
Market absorption capacity was already a concern before SpaceX priced: Standard Chartered’s global CIO warned in June 2026 that the near-simultaneous arrival of SpaceX, Anthropic, and OpenAI into public markets within a compressed window was expected to create digestion difficulties, a forecast that the subsequent SpaceX underperformance and delayed AI listings have largely validated.
OpenAI itself has set expectations. CFO Sarah Friar told staff the company “will be a public company in 2027,” adding the date could move earlier if growth “continues to inflect.” CEO Sam Altman has called the current moment “ill-advised” for a listing, according to Fortune.
Expert consensus from Dr. Aggarwal and Dr. Ewens points to early-to-spring 2027 as the most probable recovery window. That is a judgment, not a certainty.
Scenarios that could accelerate or delay the 2027 window
These are conditions to monitor, not forecasts. No single expert has offered a definitive timeline.
Upside, pulling the window earlier:
- Bond yield normalisation. A material fall in yields would lift the discount-rate pressure that currently weighs hardest on these businesses.
- Anthropic post-IPO stability. A clean November 2026 debut holding a premium would validate trillion-dollar pricing in real time.
Downside, pushing it later:
- Further safety incidents. Another autonomous-model failure would deepen the liability uncertainty already in the mix.
- Regulatory action. A midterm shift in congressional control or new AI restrictions could reset the risk calculus entirely.
The reader who tracks Anthropic’s November debut through its lock-up expiration holds the single most informative leading indicator for when, and at what multiple, the broader AI IPO wave resumes.
This article is for informational purposes only and should not be considered financial advice. Investors should conduct their own research and consult with financial professionals before making investment decisions. Past performance does not guarantee future results, and financial projections are subject to market conditions and various risk factors. These statements are speculative and subject to change based on market developments and company performance.
