Anthropic IPO to Test AI Industry's Financial Viability

Agentic AI , Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development

When Anthropic finally debuts in the public markets, the company is expected to be the largest initial public offering in history. But Anthropic also represents a new paradigm of capital raising: the only company built purely with artificial intelligence from the ground up that's seeking public investment.

The IPO represents the first true test of the longevity and financial viability of AI as a sector, and it may affect how other companies within the AI supply chain may or may not benefit from the monster-sized investment Anthropic and other capital-intensive model makers demand.

Even though there are several companies building AI models already listed on the Nasdaq - Google parent Alphabet, Meta, Microsoft - along with companies such as Nvidia and CoreWeave that provide the hardware and cloud access to AI builders, Anthropic is the first corporation to list as a purely AI-focused company, with no other business lines that can conceivably lift it in case AI demand falls. For example, Google's third-quarter earnings were mainly buoyed by its search product rather than the uptake of its Gemini models.

Anthropic's S-1 filing with the U.S. Securities and Exchange Commission laid out just how expensive it is to develop frontier models, and at the pace AI labs are moving, huge investments are needed. The company says it plans to spend $895.4 billion for commitments and leases, most of which will go to compute and infrastructure. It needs to pay cloud providers including Amazon Web Services, Google and Microsoft - although it should be noted that Amazon and Google are both investors in Anthropic.

While Anthropic said it experienced exponential growth in the first half of 2026, it said in its S-1 filing that it expects costs to continue to grow "over time," which would also widen its already staggering net loss of $80.75 billion.

Industry analysts and other AI players see the Anthropic IPO as a litmus test for model companies going forward, especially if the company plans to stick around.

Courtney Olujobi, president of the hedge fund Moon Pursuit, told ISMG the potential high valuation won't break the stock market, but it also will require Anthropic to have "near flawless execution" for several years because any missed milestone will pummel the company.

"The market can absorb it, whether it should pay that price is a separate question," Olujobi said. "Demand isn't the constraint, price discipline is, and you can already see it working."

He added that the estimated valuation of $1.5 trillion "isn't a price for growth."

MarketWatch reported that other analysts at William Blair and 22V were skeptical that Anthropic's revenue could scale enough for the company to meet its commitments.

But Olujobi believes at least one company's trajectory might better reflect what Anthropic could be seeing - Amazon's cloud business. He said Amazon spent years building capacity for AWS, and unlike the cloud buildout, demand for AI is so high that Anthropic needs the compute to serve customers.

Not quite a rising tide

A possible winner from Anthropic's risky move into the public markets will be other AI companies. AI labs like Anthropic sit at the highest rung of the AI ecosystem because they create the models that the application layer builds on and end-user enterprises use. But some AI companies don't see a clear path for a strong IPO to trickle down to the rest of the industry.

Rahul Pangam, CEO of RapidCanvas, which sits on the application layer, told ISMG that interest in the Anthropic IPO doesn't automatically mean good things for the entire ecosystem.

"I don't know how this bodes for companies that are trying to go IPO just based on the thesis of a foundational model, but as a buyer of foundational model capabilities, I feel pretty good about the ecosystem of suppliers for the needs I'm trying to satisfy for my customers," Pangam said.

Pangam pointed out that investment in AI can't stop in the public market because frontier AI labs only become profitable and worth the large valuations if the wider network of users is also successful. He said companies in the application layer and the deployers, like enterprise companies, help justify foundational model investments because they provide the actual use case for their products.

Olujobi agrees, noting that capital always follows contracts. He said that cloud providers, chip designers, data center developers and energy companies, security and the enterprise buyers are some of the more bankable aspects of AI these days.

But this also puts so much pressure on Anthropic that its competitors, including OpenAI if it decides to revive its IPO plans, are watching for. Once Anthropic debuts, it gives the AI sector its first public pricing, moving it away from the private rounds and setting a point of comparison for other companies.

Which will be easier said than done. The public market is volatile and has already reacted to concerns that the infrastructure build-out could slow, which would hurt AI growth.

"A strong debut validates private valuations across the sector and makes the next round easier to raise. A weak one forces a reset, and the last few weeks showed how quickly that can happen: About half a trillion dollars of expected value was reconsidered after a single investor day," Olujobi said.