OpenAI IPO Delay: Why the World’s Most Anticipated Listing May Wait Until 2027
The highly anticipated initial public offering of OpenAI may need to wait another year. According to multiple sources familiar with the matter, ChatGPT-maker OpenAI’s Chief Financial Officer Sarah Friar is favoring a delay of the IPO from the originally planned 2026 to 2027, citing slower-than-expected growth and failure to meet the stringent financial standards required for public markets. This marks a significant shift in timeline for what would have been one of the largest tech debuts in market history, and underscores the challenges facing even the most well-funded AI companies as they attempt to transition from research powerhouse to sustainable commercial enterprise.
CFO vs. CEO: A Divergence in Vision
Sarah Friar joined OpenAI last year with one primary mandate: preparing the nearly decade-old AI company for a public listing that could potentially value the firm at $1 trillion or more. However, she has been notably cautious about rushing to market before the company demonstrates consistent financial performance that can withstand shareholder scrutiny.
Sources indicate that Friar has expressed serious concerns to the board about the company’s repeated shortfalls against internal revenue targets. Her warning has been stark: proceeding with a 2026 listing could expose the company—and by extension, its public shareholders—to a risk of up to $600 billion. This figure represents a staggering amount of potential market capitalization that could evaporate if growth metrics fail to meet elevated expectations.
In direct contrast, CEO Sam Altman has been pushing for an accelerated timeline. Multiple reports suggest Altman believes 2026 represents the optimal window for OpenAI to capitalize on the unprecedented investor appetite for AI-related equities. His position reflects a strategic calculation that delaying the IPO could allow competitors to gain ground, and that the current moment—flush with massive funding rounds and buzzy product launches—presents a window that may not remain open indefinitely.
This disagreement between Friar and Altman reflects a broader tension that permeates the AI industry: the challenge of balancing aggressive expansion with the financial discipline and predictability that public markets demand. It also highlights a common dynamic in high-growth tech companies, where founders often favor speed while financial executives advocate for caution.
Revenue Shortfalls and Financial Pressure
While OpenAI’s estimated revenue exceeded $20 billion in 2025—a figure that would be remarkable for most companies at its stage—it has repeatedly fallen short of the more ambitious internal targets set by leadership, according to multiple reports from business outlets including Morningstar Canada and NewsBytes. This pattern of missed expectations has left some insiders concerned about the company’s path to profitability.
A PitchBook analyst noted in early May that an IPO delay to 2027 now appears increasingly likely, as the company works to close the gap between its growth trajectory and the expectations that a public offering would entail. The analyst’s assessment aligns with what many market observers have suspected: OpenAI’s path to a successful IPO requires demonstrating a more predictable revenue trajectory than it currently shows.
Despite these challenges, investor confidence in the private markets remains robust. OpenAI recently closed a monumental $12.2 billion funding round, valuing the company at $852 billion, with participation from technology giants including Amazon, Nvidia, and SoftBank. This fundraising—among the largest private financing rounds in history—signals that institutional investors with the longest time horizons and deepest pockets remain committed to the OpenAI thesis, even as questions about its public market readiness persist.
Mounting Costs and External Uncertainties
The pressures on OpenAI extend well beyond revenue metrics. The company faces staggering operational costs reportedly totaling $1.15 trillion, according to some estimates, primarily driven by the enormous expenses associated with training cutting-edge AI models and constructing the data center infrastructure necessary to support them. These capital requirements are not one-time investments but ongoing commitments that will only increase as AI models become more sophisticated and computationally demanding.
External factors have added layers of complexity to the IPO timeline. Elon Musk—ironically one of OpenAI’s original founders—has filed multiple lawsuits against the company, adding legal uncertainty that no potential IPO underwriter would view lightly. Meanwhile, the U.S. Congress has intensified scrutiny of Sam Altman’s personal financial arrangements ahead of any public offering, with legislators probing potential conflicts of interest and related-party transactions that could complicate a listing.
These regulatory and legal headwinds come at a particularly inconvenient time, as the company attempts to present itself as a clean, well-governed entity worthy of public investment. The intersection of Musk’s legal challenges and congressional scrutiny has created a perception problem that OpenAI’s communications team will need to carefully navigate.
From Nonprofit Origins to Public Markets
OpenAI’s journey toward an IPO represents a remarkable transformation from the organization’s origins. Founded in 2015 as a nonprofit research laboratory dedicated to ensuring artificial general intelligence benefits humanity, the company has undergone profound structural changes to attract the commercial investment necessary to compete in the modern AI race.
The most significant transformation came with OpenAI’s transition away from its nonprofit governance model, a change that allowed the company to raise equity capital and offer investor returns. This restructuring, which played out amid the dramatic boardroom upheaval of late 2023 when Altman was briefly ousted and then reinstated, marked a definitive break with the organization’s founding philosophy.
In October, Reuters first reported that OpenAI was laying the groundwork for a potential IPO with a valuation of up to $1 trillion. If such a listing were to proceed successfully, it would rank among the largest tech IPOs in history—eclipsing even the landmark debuts of companies like Alibaba and Facebook. The magnitude of such a valuation reflects not just OpenAI’s current revenue but the transformative potential investors see in AI as the defining technology of the coming decades.
OpenAI has not yet filed a formal IPO registration with securities regulators, and the company has offered mixed signals about its timeline. Friar stated in November that the company was “not working on an IPO yet,” though she added pointedly that she would “never say never to an IPO.” Altman himself has been quoted as saying he is “0% excited” about running a public company, a remark that suggests ambivalence at best about the prospect of quarterly earnings calls and shareholder activism.
The Path Forward: Questions Without Answers
As competition in the AI sector intensifies—rival Anthropic is itself preparing for a potential public offering, while Google-backed DeepMind continues to advance—OpenAI’s ability to balance technological leadership with demonstrable profitability will be the key determinant of when and if an IPO proceeds. The company has staked its future on a vision of artificial general intelligence that remains years, if not decades, from realization, yet must satisfy public market investors who tend to think in quarterly increments.
For now, the most likely scenario appears to be a 2027 listing, giving OpenAI additional time to demonstrate revenue growth consistency, resolve outstanding legal challenges, and prepare the financial disclosures and internal controls that a public listing requires. Whether that additional runway will prove sufficient—or whether competitors will use the time to narrow OpenAI’s lead—remains to be seen.
On the surface, OpenAI’s IPO delay appears to be a scheduling adjustment—a pragmatic response to market conditions and internal readiness. But beneath this narrative lies a deeper contradiction that is fundamental to the AI industry: the tension between research and development scale and the sustainability of commercialization paths.
Friar’s caution reflects a sophisticated understanding of public market psychology. Once listed, OpenAI would face rigorous quarterly earnings reviews where any revenue miss could trigger sharp stock volatility, potentially wiping hundreds of billions in market value in a single trading session. The scrutiny would extend beyond financials to the company’s long-term strategy: Is the path to profitability realistic? Can OpenAI maintain its technical edge as open-source alternatives proliferate? How does it plan to address the regulatory headwinds that are multiplying globally?
However, delaying the IPO carries its own set of risks. Competitors could exploit this window to capture market share. Private market investors—who have thus far been willing to accept abstract promises of future returns—may grow impatient if profitability remains elusive. And the longer OpenAI stays private, the more it accumulates the governance complexities and information asymmetries that public markets typically discount.
For OpenAI, the question may not truly be whether to go public, but how to demonstrate to the public markets that it represents more than a remarkable technology demonstration. The company has captured the world’s imagination with ChatGPT and its vision of AGI. Now it must prove it can be a business—one capable of delivering sustained value to shareholders who will judge it by the unforgiving metrics of quarterly reports and annual returns.
Sources: Gizmodo, MSN, International Business Times UK, PitchBook, Reuters, Wall Street Journal, Morningstar Canada, NewsBytes