OpenAI Delays IPO to 2027 Amid Valuation Surge to $1.2 Trillion

OpenAI, the pioneer in artificial intelligence, is currently negotiating private funding with investors to target a staggering $1.2 trillion valuation. This figure marks a dramatic leap from the $85.2 billion post-money valuation set in March, following a $12.2 billion round, keeping the company at the top of private tech fundraising. However, this ambitious valuation hinges on an IPO reaching similar heights by 2027. While an earlier listing was initially considered, the company has opted to delay until 2027, with CEO Sam Altman emphasizing that $1 trillion is the absolute floor for going public.

Major investors remain heavily committed. Microsoft, the largest institutional shareholder, has invested over $13 billion for roughly 27% equity. NVIDIA’s contribution of around $30 billion is largely in computing power, while SoftBank provided a $4 billion bridge loan in March. Amazon’s $5 billion investment is tied to IPO milestones or general AI advancements. Notably, the $12.2 billion figure includes various conditions and deferred rights, such as NVIDIA’s contribution, which offsets GPU infrastructure costs rather than being pure cash.

Financially, OpenAI demonstrates robust revenue growth. By February 2026, annualized revenue hit approximately $25 billion, a 92% increase over the previous 12 months. With Q1 revenue at $5.7 billion, the full-year target is $30 billion, though some estimates suggest it may approach $40 billion by mid-2026. Enterprise business has emerged as the primary growth driver, contributing over 40% of revenue and expected to rival consumer segments by year-end.

Despite high growth, losses are widening. Q1 2026 operating losses reached $9.3 billion, rising to $12.3 billion in Q2, with full-year losses projected between $27 billion and $33 billion. Reasoning costs hit $14.1 billion in 2026, and strategic investments toward 30 gigawatts of computing capacity by 2030 drive up computing and talent expenses. Although gross margins improved from 33% to 39% in Q1 2026, efficiency gains are quickly reinvested into R&D, perpetuating operating losses. At current revenue levels and a $1.2 trillion valuation, the price-to-sales ratio stands at 40x, drawing market scrutiny due to the lack of a clear profitability path.

OpenAI maintains a dominant user base but faces competitive pressures. By February 2026, ChatGPT recorded 900 million weekly active users, surpassing 1 billion monthly active users in May. It boasts over 50 million individual subscribers and 9 million paid enterprise users, with 92% of Fortune 500 companies using its services. However, Sensor Tower data indicates its global AI assistant market share dropped to 46% in May. Meanwhile, competitor Anthropic has exceeded OpenAI in enterprise API spending, with annualized revenue reaching $30 billion in April 2026. This intense competition has forced OpenAI to revise its product roadmap twice in six months and adjust feature release schedules.

The nature of these losses sparks debate: are they cyclical expansion costs or structural traits? Analysis suggests strong structural characteristics: reasoning costs scale rigidly with usage, and a 30-gigawatt commitment locks in fixed costs regardless of demand. This model, driven by continuous computing consumption and massive infrastructure spending, implies that high losses are a long-term feature rather than a short-term phase.

Supporters argue that each technological shift creates giants whose value exceeds expectations, citing ChatGPT’s widespread adoption as evidence of infrastructure-level integration. Conversely, critics worry that converging model capabilities and intense competition could lead to price wars, jeopardizing the high cost base. Ultimately, the $1.2 trillion valuation reflects a bet on OpenAI’s revenue growth and the broader AI capital expenditure cycle. Future success depends on breaking through gross margins, sustaining enterprise revenue growth, and significantly narrowing the loss trajectory.