OpenAI leaders clash over IPO timing as CFO Sarah Friar questions 2026 readiness

Reviewed byNidhi Govil

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Sam Altman wants OpenAI to go public as early as Q4 2026, but CFO Sarah Friar has voiced serious concerns about readiness. With projected cash burn exceeding $200 billion and massive spending commitments on computing infrastructure, internal tensions at OpenAI are surfacing over financial exposure and IPO timing.

Sam Altman Pushes for Fourth Quarter 2026 IPO Despite Massive Cash Burn

OpenAI faces internal disagreements within OpenAI over when the company should pursue its much-anticipated public offering. According to a report by The Information

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, CEO Sam Altman wants the IPO to happen as soon as the fourth quarter of 2026, even as the artificial intelligence startup prepares to spend upwards of $200 billion before generating positive cash flow. This aggressive timeline has created friction with the company's financial leadership, exposing fault lines in OpenAI's path to becoming a public company.

Source: CXOToday

Source: CXOToday

The ambitious OpenAI IPO plans come at a time when the company is investing more than $600 billion over the next five years in cloud server capacity and AI computing infrastructure

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. These commitments reflect the intense competition in the AI market and the company's determination to maintain its leadership position against rivals like Anthropic. Yet the scale of spending raises questions about financial sustainability and whether OpenAI can balance growth ambitions with investor expectations for a stable public company.

CFO Sarah Friar Raises Concerns About Financial Exposure and Readiness

Sarah Friar, OpenAI's Chief Financial Officer, has told colleagues she isn't confident the company will be ready for an IPO in 2026

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. Her reservations center on the organizational and procedural work required to take a company public, along with risks stemming from OpenAI's massive spending on computing infrastructure. Friar has specifically highlighted concerns about the company's financial exposure related to steep investments in AI servers, particularly as revenue growth shows signs of slowing

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The high cash burn presents a significant challenge. OpenAI anticipates spending $121 billion on computing power for AI model training in 2028 alone, leading to projected losses of $85 billion that year even after nearly doubling sales from the previous year

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. These losses would surpass those of almost any public company on record. Taking a company public requires more than strong growthβ€”it demands stable systems, clear reporting structures, and strict compliance with regulations

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. Friar believes much of this foundational work remains incomplete, and rushing could create substantial risks.

Complex Capital Structure Raises Red Flags for Financial Leadership

Adding to the complexity, a substantial portion of OpenAI's recent $122 billion funding round came from Amazon and Nvidiaβ€”both key suppliers of cloud and chip infrastructure to the company

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. According to Friar, this overlap among the three players creates a potentially risky capital structure. The company's strong dependence on partners like Microsoft, Amazon, and Nvidia adds another layer of complexity

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. While these partnerships have accelerated OpenAI's growth, any disruption could directly impact operations and financial stability.

Source: PYMNTS

Source: PYMNTS

The funding round valued OpenAI at $852 billion post-money valuation, and the company announced it's generating $2 billion in revenue per month

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. OpenAI claims it's growing revenue four times faster than companies that defined the Internet and mobile eras, including Alphabet and Meta. Yet profitability remains elusive. Training costs are so substantial that both OpenAI and Anthropic use two measures of profitability: one with training costs included, one without

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. Using the metric that excludes training costs, OpenAI is on pace to realize a small pre-tax operating profit this year. With training costs factored in, the company won't break even until the 2030s.

Internal Tensions at OpenAI Surface Over Financial Decision-Making

Reports indicate internal tensions at OpenAI extend beyond strategic disagreements. Sources told The Information that Altman has excluded Friar from conversations with investors and meetings involving important financial decisions

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. One such high-level meeting involved a major investor discussing server investment

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. In a notable organizational shift, Friar now reports to Fidji Simo, the former Instacart chief executive who was named CEO of OpenAI's applications business, rather than directly to Altman

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Both executives issued a joint statement attempting to project unity: "We are fully aligned that durable access to compute is at the core of OpenAI's strategy and a key differentiator as we scale. We have both been directly involved in every consequential compute decision over the past year plus"

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. The statement emphasized that the recent funding round "locks in the capacity to scale compute aggressively and positions us to become the core infrastructure layer for AI."

Leadership Changes Signal Shifting Priorities Ahead of Potential Public Offering

Recent leadership changes add uncertainty to OpenAI's IPO trajectory. Chief Operating Officer Brad Lightcap has moved to a new role heading special projects and reporting to Altman

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. Chief Marketing Officer Kate Rouch and Fidji Simo have both proceeded on medical leave, raising questions about how the company will navigate this period of structural volatility. Some of Lightcap's duties have shifted to newly appointed Chief Revenue Officer Denise Dresser.

Company insiders suggest these special projects will focus on connecting with private equity firms to scale enterprise software sales, an area where OpenAI trails behind Anthropic

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. There's also the Super App project that aims to integrate the chatbot with coding and browsing tools. An OpenAI spokesperson told the Wall Street Journal the company prioritizes growth over profits and could reduce spending on training but expects robust return on investment

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. Whether this growth-first strategy can satisfy public market investors while addressing concerns about slowing revenue growth and financial sustainability remains an open question as OpenAI navigates the tension between ambitious expansion and fiscal prudence.

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