The Great AI IPO Race: Anthropic and OpenAI Battle for Wall Street's Crown

Anthropic and OpenAI have each filed confidential S-1 registration statements with the Securities and Exchange Commission, setting up a head-to-head race to become the first pure-play artificial intelligence company to go public. With valuations of $965 billion and over $1 trillion respectively, the dual listings represent the most anticipated IPO event since the dot-com era and raise fundamental questions about how Wall Street prices transformative technology.

Two Giants, One Stage

The confidential S-1 filings, confirmed by sources at both Goldman Sachs and Morgan Stanley, mark the culmination of years of private fundraising that have turned Anthropic and OpenAI into the two most valuable private companies in history. Anthropic, the San Francisco-based maker of the Claude family of AI models, is targeting a valuation of approximately $965 billion. OpenAI, the creator of ChatGPT and GPT-5, is seeking to exceed $1 trillion, a threshold no technology company has reached at the point of its IPO.

Both companies are expected to list on the Nasdaq exchange, with tentative timelines pointing to late August or early September for the first trading sessions. Goldman Sachs is serving as lead underwriter for Anthropic, while Morgan Stanley holds the same role for OpenAI. The combined proceeds from the two offerings could exceed $60 billion, surpassing the total raised by every IPO in 2025 combined.

"We are witnessing the creation of an entirely new asset class," said Jay Ritter, a professor at the University of Florida who has studied IPOs for four decades. "These companies are not just technology firms. They are infrastructure providers for the next generation of the global economy. The valuations reflect that, though whether they are justified remains the central debate."

The Revenue Picture: $20 Billion and Climbing

The financials disclosed in the confidential filings, details of which have been shared by people with direct knowledge, paint a picture of explosive growth. OpenAI reported annualized revenue of $12.8 billion as of Q1 2026, driven primarily by enterprise subscriptions to ChatGPT, API licensing deals with Microsoft and other partners, and a rapidly growing consumer subscription business that now exceeds 28 million paying users globally.

Anthropic's revenue trajectory has been steeper on a percentage basis, though from a smaller base. The company reported annualized revenue of $7.6 billion, up from $1.2 billion in 2024, fueled by enterprise adoption of Claude for code generation, legal document review, and scientific research. Amazon's $8 billion investment in Anthropic, spread across multiple funding rounds, has given the company access to AWS infrastructure and a distribution channel into hundreds of thousands of corporate customers.

Combined, the two companies generated more than $20 billion in annualized revenue, a figure that would have seemed fantastical even two years ago. Yet both remain unprofitable. OpenAI's operating losses exceeded $5 billion in 2025, driven by the enormous cost of training and running large language models on specialized GPU clusters. Anthropic's losses were estimated at $3.4 billion, according to sources familiar with the company's financials.

The Valuation Debate: Innovation or Irrational Exuberance?

Wall Street is sharply divided on whether the proposed valuations are sustainable. Bullish analysts point to the companies' revenue growth rates, their role as platform providers for a technology that is being adopted faster than the internet was in the 1990s, and the network effects that accrue to the dominant players in foundational AI models. At a $1 trillion valuation, OpenAI would trade at roughly 78 times annualized revenue, a multiple that is extreme by historical standards but not without precedent for companies growing at triple-digit rates.

The bear case centers on the path to profitability. Training frontier AI models requires billions of dollars in compute infrastructure, and the cost curve has not declined as rapidly as optimists predicted. Competition is intensifying, not just between Anthropic and OpenAI but from Google DeepMind, Meta's Llama family, Mistral in France, and a host of well-funded startups in China. The risk of commoditization, in which AI models become interchangeable and margins compress, is real and growing.

"If you model these companies like software businesses, the valuations are hard to justify," said Brent Thill, an analyst at Jefferies. "But if you model them as infrastructure, as the operating system for a new era of computing, then $1 trillion might actually be conservative. The problem is that nobody knows which framework is correct yet."

Echoes of the Dot-Com Era

The comparison to the dot-com bubble is unavoidable, and it cuts in two directions. In 1999, companies with minimal revenue achieved multibillion-dollar valuations on the promise of the internet, only to see their share prices collapse when the hype outpaced reality. Anthropic and OpenAI, by contrast, have billions in actual revenue and products used by hundreds of millions of people. The question is whether that revenue can grow fast enough to justify the price tags.

"The dot-com comparison is both instructive and misleading," said Scott Galloway, a professor of marketing at NYU Stern and a prominent tech commentator. "Instructive because the pattern of irrational exuberance is the same. Misleading because these companies have real products, real revenue, and real moats. The better analogy might be Google in 2004 or Amazon in 1997. Expensive at the time, but transformative over the long run."

Historical data supports the case for caution. According to research from Jay Ritter, the median first-day return for mega-cap IPOs since 1980 has been 12%, but the median three-year return has been negative 15%. The pattern suggests that while IPOs of this scale tend to deliver strong initial pops, long-term performance is far more uncertain. Investors who bought shares of Facebook at its 2012 IPO had to wait two years to recover their investment. Those who bought Uber at its 2019 IPO waited four.

The Geopolitical Dimension

The dual IPOs also carry geopolitical weight. The United States has made AI leadership a national security priority, and the public listing of its two most prominent AI companies will subject them to the transparency requirements of SEC reporting. Congressional leaders from both parties have expressed interest in how the IPOs affect the companies' ability to partner with the Pentagon and intelligence agencies, particularly given the national security applications of their models.

China, meanwhile, has accelerated its own AI ambitions. Beijing-backed Baidu and Alibaba are developing large language models that rival Western capabilities in specific domains, and the Chinese government has designated AI as a strategic industry eligible for state subsidies. The IPOs of Anthropic and OpenAI will give American capital markets a direct stake in maintaining U.S. leadership in a technology that many analysts consider the defining competitive arena of the 21st century.

"This is the Manhattan Project moment for capital markets," said Ian Bremmer, president of the Eurasia Group. "When the two most important AI companies in the world go public on American exchanges, every pension fund, every sovereign wealth fund, and every central bank has to decide what that means for their portfolio. The geopolitical implications are inseparable from the financial ones."

The coming months will determine whether Anthropic and OpenAI deliver the returns that their astronomical valuations promise or whether history repeats the pattern of overreach that has defined previous technology manias. Either way, the race to Wall Street's AI crown is the most consequential capital markets event of the decade.