OpenAI’s Revenue Surge Raises the Stakes in the AI IPO Race

The AI Race Is Moving From Models to Public Markets

The competition between OpenAI and Anthropic is entering a new phase. Both private AI leaders are preparing for potential initial public offerings, giving investors an increasingly detailed look at the extraordinary growth—and equally extraordinary financial demands—behind the AI boom.

OpenAI’s annualized revenue run rate has climbed to nearly $70 billion, according to Axios, rising more than 70% since the third quarter began. Enterprise sales have more than doubled since July, while third-quarter consumer revenue alone exceeded the company’s consumer revenue for all of 2025.

Key Points

• OpenAI’s annualized revenue run rate is approaching $70 billion as enterprise sales accelerate, while Anthropic has also recorded rapid growth ahead of a potential IPO.
• The growth comes with enormous financial demands, including heavy losses and hundreds of billions of dollars in infrastructure commitments at Anthropic.
• The approaching IPOs could give public-market investors greater visibility into AI economics, including spending, customer demand, competition and safety risks.

OpenAI’s Growth Shows How Quickly AI Demand Is Expanding

OpenAI’s latest revenue figures show how rapidly the economics of generative AI are changing.

The company had been heading toward an annualized revenue run rate above $40 billion, roughly double its pace at the end of 2025. That figure has now moved close to $70 billion as both enterprise and consumer demand accelerate.

Enterprise is becoming particularly important. OpenAI's enterprise sales have more than doubled since July, while separate reporting indicated that its enterprise division now generates more revenue than its consumer offerings.

That shift also reflects a broader change in strategy. OpenAI has increased its focus on coding and enterprise products as businesses incorporate AI into their operations.

Anthropic has followed a different path but is competing for many of the same customers. Its Claude coding software helped drive enterprise adoption, while Claude Cowork demonstrated how AI agents could potentially reshape existing software workflows.

The result is a competition increasingly measured not simply by which company produces the most capable model, but by which can turn those capabilities into sustainable commercial demand.

Can AI Revenue Keep Pace With the Spending?

That is becoming one of the central questions surrounding the AI investment cycle.

Anthropic's prospective IPO offers an unusually detailed look at the scale of the financial commitments involved. Its 2025 revenue climbed twelvefold to nearly $4.6 billion, but the company also reported a net loss of almost $42 billion and outlined approximately $518 billion in future cloud, computing and infrastructure obligations.

OpenAI's rising revenue run rate provides another indication of rapidly expanding demand, but the available information does not provide comparable details about its current expenses. The company reported a $38.5 billion net loss in 2025.

The distinction between actual revenue and annualized revenue run rate is also important. Run rate extrapolates a shorter period of sales across a full year, meaning it can move rapidly and does not necessarily represent revenue that has already been earned.

The larger debate extends beyond OpenAI and Anthropic.

Apollo chief economist Torsten Sløk highlighted a disconnect between expectations for technology companies and the businesses expected to purchase their services. Technology-sector analysts expect a dramatic increase in cash generation, while forecasts for many of the customers expected to fund that growth are considerably more modest.

A separate Bain Capital analysis similarly questioned whether projected AI revenue will be sufficient to support the industry's planned infrastructure investment.

That leaves the AI buildout dependent not only on continued adoption, but on businesses generating enough economic value from AI to support sustained spending on the technology.

Why the AI IPO Race Matters Beyond OpenAI and Anthropic

The significance of these potential IPOs extends beyond the two companies themselves.

OpenAI and Anthropic sit at the center of a much larger network of cloud providers, semiconductor companies, software developers and infrastructure partners. Their growth therefore has implications across the technology sector.

Oracle (ORCL), for example, rose Tuesday as OpenAI's growth was viewed as a positive signal for its ability to meet computing-capacity commitments. Anthropic's infrastructure obligations similarly connect its future growth to major technology providers.

The IPO process could also bring greater transparency to an industry that has largely developed outside public markets.

Investors would gain more regular access to financial statements, customer trends, spending levels and risk disclosures from companies directly developing frontier AI models. That could provide a clearer picture of how much revenue AI is producing relative to the capital required to build and operate increasingly powerful systems.

Safety is becoming part of that financial discussion as well.

OpenAI reportedly abandoned its GPT-6.1 Astra model after internal testing raised safety and alignment concerns. Anthropic's prospective IPO materials also reportedly warn about potentially severe risks associated with increasingly capable AI systems.

At the same time, competition remains intense. OpenAI and Anthropic are competing with each other, established technology companies and increasingly capable open-source models, while customers are becoming more selective about which models they use.

The IPO race is therefore emerging at a moment when both the commercial potential and the unresolved risks surrounding AI are becoming more visible.

What It Means for Investors

OpenAI's accelerating revenue provides evidence that demand for generative AI continues to expand rapidly, particularly among enterprise customers. Anthropic's growth reinforces that trend.

But the financial picture is increasingly about two sides of the same equation.

One is extraordinary revenue growth. The other is the immense amount of capital required to develop models, secure computing capacity and build the infrastructure supporting them.

Potential public listings for OpenAI and Anthropic could make that relationship easier to evaluate. Rather than viewing the AI boom primarily through chipmakers, cloud providers and other companies supplying the infrastructure, investors could eventually gain direct exposure to the businesses purchasing much of that computing power and selling AI services to customers.

That also means greater scrutiny of profitability, cash consumption, customer concentration, infrastructure obligations and safety risks.

The central question surrounding the AI frenzy is gradually shifting. The market already has substantial evidence that companies are willing to spend enormous amounts building AI. The next question is whether the economic value created by those systems can ultimately support that level of investment.

Conclusion

OpenAI's rapidly rising revenue run rate adds another important data point to the AI industry's expansion.

Enterprise adoption is accelerating, consumer demand remains substantial, and Anthropic is simultaneously demonstrating significant commercial growth of its own.

Yet the potential IPOs are also bringing the economics of the AI boom into sharper focus. Massive infrastructure commitments, large losses, safety questions and increasingly intense competition sit alongside some of the fastest revenue growth in technology.

For public-market investors, the arrival of OpenAI and Anthropic could mark an important transition. The AI investment story would no longer be viewed mainly through the companies providing chips, cloud capacity and infrastructure. Investors could begin evaluating the economics of the frontier AI developers themselves.

FAQs

How fast is OpenAI’s revenue growing?

OpenAI's annualized revenue run rate is approaching $70 billion, rising more than 70% since the beginning of the third quarter. Enterprise sales have more than doubled since July.

Are OpenAI and Anthropic planning IPOs?

Both companies are preparing for potential initial public offerings. Anthropic is expected to pursue an IPO first, while OpenAI is anticipated to follow later.

Why are OpenAI and Anthropic’s IPOs important for the AI industry?

Public listings could provide investors with greater visibility into the revenue, spending, customer demand, infrastructure commitments and risks of companies directly developing frontier AI models.

What is the biggest financial question surrounding the AI boom?

A central question is whether future consumer and enterprise demand for AI services can generate enough revenue to support the enormous infrastructure spending required to develop and operate increasingly powerful AI systems.

Why is AI safety becoming relevant to investors?

Safety issues can affect model development and deployment. OpenAI reportedly abandoned its GPT-6.1 Astra model after internal testing raised safety concerns, while Anthropic's prospective IPO materials reportedly include warnings about risks from increasingly capable AI systems.

This article was created with AI assistance and reviewed by an editor. For details, please refer to our Terms of Use.

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