The company is currently under extreme pressure to become nothing less than a world-leading colossus capable of remaking the global economy. This ambition creates a complex dynamic where the scale of the company’s goals must be reconciled with its financial reporting and operational overhead. As the organization moves toward a potential public offering, the requirements for transparency and fiscal predictability become increasingly central to the conversation.
According to reporting from the Wall Street Journal, OpenAI has missed recent revenue targets. This development has led to a specific disagreement between the company’s leadership regarding the timing of its market entry. While Sam Altman continues to push the accelerator toward a 2026 initial public offering, Sarah Friar is reportedly urging a more disciplined approach.
The friction between acceleration and discipline
In the high-stakes environment of Silicon Valley, there is a recurring archetype: the adult in the room
. This is the executive brought in to translate a founder’s raw ambition into a sustainable corporate structure. According to the Journal, Friar is stepping into this role, having taken a closer look at the company’s spending and suggested a timeline shift.
“[…]taken a closer look at OpenAI’s spending commitments, and has privately suggested waiting until 2027 for an IPO, cautioning that the company isn’t yet ready to meet the rigorous reporting standards required of public companies.” Wall Street Journal report, via Gizmodo
This internal debate is not merely about dates on a calendar; it is about the nature of the company’s current trajectory. Banks have reportedly told OpenAI and its rival, Anthropic, that the first company to hit the market will effectively define the new industry. This creates an immense incentive to rush. However, Friar has reportedly expressed worry in recent months, seeking to bridle the outflow of cash dedicated to data centers in the absence of higher revenue.
The stakes for this transition are high. Once public, OpenAI will be forced to publish earnings reports, exposing the exact gap between its massive capital expenditures and its actual income. The Journal suggests that Friar’s concern stems from the risk that the company may not be able to pay computing contracts in the future if the top line does not expand fast enough.
The Friar playbook: From Square to OpenAI
Sarah Friar does not come to this challenge without a blueprint. Her career has been defined by managing the transition from private volatility to public accountability. She previously oversaw the IPO of Jack Dorsey’s Square, though the company’s stock fell 10% shortly after her resignation. She also managed the shift to public status for Nextdoor via a SPAC, a move that saw the stock tumble.
Friar’s tenure at Nextdoor also demonstrated her willingness to make difficult fiscal cuts. In 2023, she oversaw a round of layoffs where 25% of the staff was let go. She joined OpenAI as CFO during a period of immense growth and scaling. The company is currently operating under extreme pressure to maintain its lead in the AI ecosystem, requiring a careful balance between aggressive infrastructure investment and the fiscal discipline expected by public investors.
OpenAI has pushed back against the narrative of instability. Steve Sharpe, the head of business and financial communications at OpenAI, described the business as firing on all cylinders
, stating, We are on an extremely steep growth curve across consumer, enterprise and developers
.
The $1.4 trillion spending gamble
To understand why Friar is urging caution, one must look at the scale of OpenAI’s commitments. Internal documents from last year indicate a commitment to spend $1.4 trillion over eight years on data centers. This is not a gradual investment; it is a massive bet on the future of compute.
The financial risk associated with this spending is stark. The same internal documents suggested the company was set to lose $74 billion in 2028 alone. For context, OpenAI’s main rival, Anthropic, was on course to break even in that same year, largely due to a rapid buildup of revenue-generating enterprise customers.
This imbalance creates a fragile ecosystem. OpenAI is the central node in a web of deals that includes chipmakers, cloud providers, and massive investors. When reports of revenue misses surface, the ripples are felt immediately across the global markets.
Market contagion and the ‘too big to fail’ risk
The market’s reaction to the NBC News and CNBC reports on OpenAI’s missed targets was swift. On Tuesday, Japanese conglomerate SoftBank, which has committed $60 billion to OpenAI, saw its shares drop 10% in Tokyo trading. Other linked entities followed suit: CoreWeave fell 6% and Oracle declined 4%.
Even Nvidia, which had an agreement with OpenAI worth up to $100 billion last September, saw its stock dip about 3%. That agreement has since been downsized to as much as $30 billion, according to the Financial Times.
This interconnectedness has led some analysts to view OpenAI as a systemic risk to the AI boom. Peter Boockvar, chief investment officer of One Point BFG Wealth Partners, noted the company’s unique position in the infrastructure layer.
“Last year I referred to OpenAI as too big to fail,” Peter Boockvar, CIO of One Point BFG Wealth Partners
Boockvar clarified that this was not from the perspective of a government backstop but because their tentacles have reached so wide in the data center ecosystem buildout
. If OpenAI falters or is forced to drastically scale back its spending, the impact would be felt by every provider and partner in the AI supply chain.
As the company moves toward its IPO—whether in 2026 or 2027—the primary metric for success will shift from the capabilities of its models to the discipline of its margins. Investors are already on edge; Dennis Follmer, chief investment officer at Montis Financial, which manages $1.25 billion in assets, noted that with major indexes near record levels, the market will be sensitive to any shortcomings.
What to watch
The immediate focus for the markets will be the quarterly earnings reports from the Magnificent Seven
tech titans, including Microsoft, Alphabet, Amazon, and Meta. Because these companies are the primary backers and partners of the AI ecosystem, their capital expenditure reports will reveal how much appetite remains for the trillion-dollar build-out.
Beyond the earnings calls, the critical signal will be whether OpenAI begins to align its spending with its revenue growth. If Sarah Friar succeeds in shifting the IPO timeline to 2027, it would reflect her caution regarding the company’s readiness to meet the rigorous reporting standards of the SEC. The tension between Sam Altman’s accelerator and Sarah Friar’s brakes will determine if OpenAI enters the public market as a stable leader or a cautionary tale of over-leverage.
