The Fastest Revenue Ramp in Corporate History
In late 2022, OpenAI had virtually no revenue. By February 2026, it crossed $25 billion in annualized run rate, a milestone that Salesforce took 18 years to reach, Google 17, and Facebook 12. OpenAI did it in roughly 39 months.
That single data point reframes everything: the AI boom is not a speculative bubble chasing a distant commercial future. It is a monetisation story already playing out at extraordinary scale, and it is accelerating.
The figure, reported by The Information and corroborated by multiple sources close to the company, represents a 17% jump from the $21.4 billion annualised run rate OpenAI was generating at the close of 2025. It also sets the stage for what could be the largest initial public offering in the history of global capital markets.
ChatGPT's 900 Million Users: The Engine Behind the Numbers
The revenue surge is not coming from a single product line or a lucky enterprise contract. It reflects a fundamental shift in how the world's largest organisations, and hundreds of millions of individuals, interact with software.
ChatGPT now serves more than 900 million weekly active users, up from 700 million in July 2025. That puts it in the same tier of global reach as YouTube and WhatsApp. Paying business users surpassed 9 million as of February 2026, nearly doubling from 5 million just six months earlier. Over one million organisations now use OpenAI's technology in some form.
The subscription architecture OpenAI has built is layered and aggressive. ChatGPT Plus at $20 per month remains the volume driver. ChatGPT Pro at $200 per month targets power users who need unrestricted compute access. ChatGPT Team and Enterprise, priced at $25–60 per seat, are where the real margin potential lives, and enterprise revenue has already reached $10 billion of the total $25 billion annualised figure.
Sam Altman's internal message to employees captured the strategic pivot bluntly: "Our opportunity now is to take those 900 million users and turn them into high-compute users." The company is cutting side projects and redirecting resources entirely toward coding tools and enterprise deployments, the two product lines that move institutional money fastest.
The $1 Trillion Question
OpenAI is actively preparing for a public listing as early as Q4 2026, targeting a valuation of up to $1 trillion, which would surpass Saudi Aramco's 2019 raise and Alibaba's 2014 offering combined, making it the largest IPO in history.
The company has hired Cynthia Gaylor, former CFO of DocuSign, as its first head of investor relations. Law firms Cooley and Wachtell Lipton Rosen & Katz have been retained to lead preparations. Nvidia CEO Jensen Huang has described the company's $30 billion investment commitment as potentially its last before the public listing.
At a $1 trillion valuation, the implied multiple sits at roughly 38 times projected 2026 revenue, aggressive by any conventional software metric, but potentially defensible for a company growing at triple-digit annual rates in a winner-take-most market.
The structural pressure to list is not purely ambition. Amazon's $50 billion investment in OpenAI includes a clause: $35 billion of it is contingent on OpenAI either achieving artificial general intelligence or completing an IPO. That contract is one of the most consequential financial incentives in technology history, and it has effectively hardwired a public-market timeline into OpenAI's strategy regardless of internal preference.
Anthropic Is Closing the Gap — Fast
The competitive picture complicates the IPO narrative. Rival Anthropic has surged to nearly $19 billion in annualised revenue, with Claude Code alone reportedly generating $2.5 billion annually. That gap, $25 billion versus $19 billion, is narrowing faster than analysts anticipated eighteen months ago.
The financial profiles of the two companies diverge sharply on one critical dimension: path to profitability. OpenAI is burning cash at a projected $57 billion annual rate by 2027 and does not expect to break even until 2030. Anthropic is targeting breakeven as early as 2028, two full years ahead of its chief rival.
For enterprise buyers and long-term investors, that two-year profitability gap matters beyond quarterly spreadsheets. A company two years closer to sustainable operations carries substantially less dilution risk, a more durable pricing model, and a governance structure less exposed to the competing demands of public-market shareholders. Anthropic also raised $13 billion in 2025 and has seen its valuation more than double in six months.
The Infrastructure Bet That Underpins Everything
Both companies exist on top of a compute infrastructure of staggering scale. OpenAI has committed to over $500 billion in disclosed cloud capacity across Microsoft Azure, Amazon Web Services, and Oracle through 2030. The Stargate I facility in Abilene, Texas, co-owned with Crusoe and Oracle, running racks of Nvidia GB200 GPUs, is already partially operational, supporting early GPT-5 training and inference.
Google's Gemini 3.1 Flash-Lite, launched this month at $0.25 per million input tokens, is an early signal of the price war now forming beneath the headline growth. As frontier capabilities converge across labs, cost-efficiency is becoming the next battleground, and the company that achieves it earliest at enterprise scale will define the margin structure of the entire industry.
What This Means for ChatGPT Users
The IPO path has direct, tangible consequences for the hundreds of millions of people who use ChatGPT daily. Advertising began appearing for free and entry-tier users in January 2026, with internal projections showing ad revenue scaling from $1 billion this year to $25 billion by 2029. Premium subscription tiers will likely expand as public-market pressure to demonstrate profitability intensifies in the quarters following listing.
The company that launched as a non-profit AI safety research lab in 2015, restructured into a capped-profit entity to attract capital, and then rewrote that cap entirely in 2024 is now sprinting toward one of the most commercially consequential moments in technology history. Whether that sprint leads to sustainable AI infrastructure or a pressure-cooker of quarterly earnings management is the question that will define the next decade of the industry.
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