OpenAI Prepares $100B+ IPO Filing as AI Sector Races Toward Public Markets

OpenAI is preparing to confidentially file for a U.S. initial public offering within days, targeting a September 2026 public debut that would mark the largest AI company capitalization event in history. The move follows a May 18 federal jury ruling that dismissed Elon Musk’s lawsuit against the company on statute-of-limitations grounds. Musk’s suit had sought to revert OpenAI to nonprofit status and claimed between $78.8 billion and $135 billion in damages, arguing the company violated its original charitable mission. The dismissal removes a significant regulatory and legal obstacle that had clouded OpenAI’s path to public markets, according to Reuters.

The company closed a $122 billion funding round on March 31 at an $852 billion post-money valuation, generating approximately $2 billion in monthly revenue with more than 900 million weekly active users, per CNBC. OpenAI is working with Goldman Sachs and Morgan Stanley on the filing, which could occur as soon as May 24, according to the Wall Street Journal. The accelerated timeline positions OpenAI to potentially beat rival Anthropic to public markets, with prediction markets placing 85% odds on OpenAI filing first.

Profitability Crisis Meets Valuation Fever

The IPO will test investor appetite for AI infrastructure at unprecedented scale and unprecedented losses. OpenAI burns approximately $9 billion annually and projects a $14 billion loss for 2026 alone, driven by inference costs expected to rise from $8.4 billion in 2025 to $14.1 billion this year, according to CMC Markets. The company operates at a 33% gross margin while annualizing $24 billion in revenue—a figure that represents explosive growth but remains dwarfed by operational expenses.

Enterprise revenue now accounts for more than 40% of total sales and is on track to reach parity with consumer subscriptions by year-end, per industry sources. ChatGPT has secured over 50 million paying consumer subscribers, but the shift toward enterprise agent deployments carries both higher margins and longer sales cycles. Internal projections shared with investors in April forecast $280 billion in annual revenue by 2030, suggesting management expects the company to reach profitability sometime between 2027 and 2029.

The path to profitability hinges on compute cost efficiency gains that have not yet materialized at scale. OpenAI has partnered with Cerebras and Nvidia on inference optimization, but per-token costs remain structurally high relative to enterprise pricing power, according to Sacra. The company’s capital intensity creates dependency on continuous fundraising even as it prepares for public markets—a dynamic that will force disclosure of burn-rate projections in SEC filings.

Governance Structure Poses Regulatory Questions

OpenAI’s nonprofit foundation retains 26% ownership, Microsoft holds 27%, and employees control approximately 47% of equity, based on cap table analysis from The VC Corner. This structure raises unresolved questions about fiduciary duty and control rights that will require clarification in IPO documents. The foundation’s charter prioritizes “broadly distributed benefits” over shareholder returns, creating potential conflicts with public market expectations.

Microsoft’s 27% stake and exclusive cloud infrastructure partnership add further complexity. The tech giant holds preferential revenue-sharing terms that grant it approximately 75% of OpenAI’s profits until it recovers its cumulative investment, estimated at over $13 billion. These arrangements will require detailed disclosure and may constrain the company’s strategic flexibility post-IPO. OpenAI hired Cynthia Gaylor, former DocuSign CFO, as its first head of investor relations in May, signaling preparation for public company reporting standards.

Competitive Pressure Intensifies

Anthropic, OpenAI’s primary rival, is in advanced talks to raise $50 billion at a $900 billion valuation—surpassing OpenAI’s March funding mark—according to CNBC. Anthropic’s annualized revenue has accelerated to $30 billion, ahead of OpenAI’s $24 billion pace, driven by enterprise contracts with financial services and healthcare providers. The valuation leapfrog positions both companies on a collision course for IPO timing, with Anthropic reportedly targeting a late 2026 filing.

Google’s Gemini has captured 21.5% of LLM web traffic, up from 5.7% twelve months prior, while ChatGPT’s share declined from 86.7% to 64.5%, per CMC Markets citing Similarweb data. The erosion reflects both Google’s distribution advantage through Search integration and enterprise hesitation to consolidate on a single AI vendor. OpenAI faces simultaneous pressure to defend consumer market share while scaling enterprise sales—a dual-front war that requires sustained capital deployment.

What to Watch

The confidential S-1 filing will reveal OpenAI’s detailed financial performance, governance structure resolution, and path-to-profitability narrative. Watch for disclosure of Microsoft’s revenue-sharing terms, foundation voting rights, and any restructuring that addresses nonprofit-public company conflicts. Employee lockup periods and secondary market liquidity provisions will signal internal confidence levels.

Anthropic’s funding timeline creates a narrow window for OpenAI to establish valuation precedent. If both companies file within weeks of each other, institutional investors will conduct direct comparison analysis of revenue growth rates, margin trajectories, and competitive moats. The outcome will establish whether AI infrastructure commands growth-at-any-cost premiums or faces profitability scrutiny similar to prior SaaS IPO cycles.

Regulatory developments around AI governance and model safety could accelerate or delay the IPO. The SEC has signaled interest in AI-specific disclosure requirements for technology companies, and OpenAI’s filing may set standards for the sector. Monitor whether the company addresses compute cost inflation, model improvement plateaus, or competitive threats in risk factor disclosures.

OpenAI’s IPO will serve as a litmus test for the AI commercialization thesis, determining whether capital markets will fund infrastructure buildout at frontier-model scale despite persistent losses. The company’s ability to convert user growth into sustainable unit economics will define whether the current AI valuation cycle represents durable platform shifts or speculative excess. For the broader tech IPO pipeline, OpenAI’s reception will establish precedent for how public investors value compute-intensive, capital-intensive AI businesses in an environment where profitability timelines remain measured in years rather than quarters.