Anthropic IPO: Key Risks Revealed In Its S-1 Filing

One of the most eagerly awaited events in the generative AI market is finally here. On October 26, 2026, Anthropic publicly filed its Form S-1 registration statement with the U.S. Securities and Exchange Commission (SEC). The company plans to list its Class A common stock on the Nasdaq Global Select Market under the ticker symbol ANT. This initial public offering (IPO), which is when a company first sells its shares to the public, will be an important test of investor confidence in the artificial intelligence industry, especially as AI technology faces current challenges.

Anthropic has attracted a lot of attention because its revenue is growing quickly and more businesses are using its products. However, its S-1 filing also points to major financial, business, cybersecurity, and management risks. Here is a closer look at these risks.

Explosive Growth With Huge Losses

One of the most important parts of Anthropic's IPO story is the difference between its fast-growing revenue and its large reported losses. According to its filing and related reports, Anthropic made about $16.3 billion in revenue in the first half of 2026 but reported a net loss of around $80.7 billion. Most of this loss came from a noncash accounting charge of about $72.4 billion, mainly caused by changes in the reported value of financial instruments. For the full year 2025, the company reported revenue of about $4.6 billion and a net loss of roughly $33.9 billion, according to its filing.

Anthropic's revenue has grown especially quickly. It increased from just $386 million in 2024 to about $4.6 billion in 2025. In the first six months of 2026, revenue reached roughly $16.3 billion, almost 14 times the amount earned during the same period a year earlier. This shows how quickly demand for the company's AI products and services has grown.

However, Anthropic's reported net loss of $80.7 billion in the first half of 2026 needs to be understood carefully. About $72.4 billion of that loss came from accounting changes that did not involve cash payments. These changes mainly involved convertible financial instruments and related debts whose reported values changed as the company's valuation increased.

Computing power and AI infrastructure are still major costs as Anthropic grows. The company spent nearly $9 billion on computing and infrastructure in the first half of 2026, compared with about $2.3 billion during the same period in 2025. Growing revenue may make these costs a smaller share of sales, but continued spending on computing resources and infrastructure could still reduce profit margins and limit the cash available to the business.

Huge Infrastructure Commitments Could Put Pressure on Future Cash Flow

One of the biggest risks in Anthropic's S-1 filing is the amount of money the company has promised to spend over many years. Building and running advanced AI models requires enormous computing power, data center space, energy, specialized hardware, and cloud services. These needs create large ongoing costs as the business grows.

According to Reuters' October 26, 2026, report, Anthropic has agreed to spend more than $600 billion over the next decade across about eight partners. The company disclosed that some agreements cannot be canceled, or require payments even if Anthropic does not use all the computing capacity it has agreed to pay for. This could make it harder for the company to reduce its spending when needed.

These agreements can help Anthropic secure the infrastructure it needs to train and run more advanced AI models. However, long-term contracts also create financial risks. Demand might be lower than expected, new technology might make existing infrastructure less competitive, or some computing capacity might go unused. In these situations, Anthropic could still face large bills even if its revenue growth slows. This could put pressure on profit margins, available cash, and its ability to invest in other areas in the future.

Complicated Relationships With Major Customers

Another important concern is Anthropic's complicated relationships with Amazon, Google, and Microsoft. These companies can be investors, cloud infrastructure providers, distribution partners, and competitors at the same time. This is often called “coopetition,” which means companies work together in some areas while competing in others. This creates questions about how Anthropic can remain independent when it depends on companies that are also building competing AI products.

Anthropic disclosed that about 48% of its revenue in the first half of 2026 came through cloud marketplaces. It also reported that its five largest customers accounted for roughly one-quarter of its revenue during the first nine months. These figures show how important major customers and distribution partners are to the business. They also raise concerns about depending too much on a small number of customers and whether revenue growth can continue over time.

This creates a complicated business model. Some companies that provide money to support Anthropic's growth also supply the computing infrastructure its products need, while building their own AI models and services. Investors will need to consider whether Anthropic's growth mainly comes from lasting demand from end customers or is partly supported by a connected cycle in which technology companies invest in, supply, and buy services from one another. Understanding this difference will help investors judge the quality of Anthropic's revenue, its ability to compete, and whether its long-term valuation can be supported.

AI Safety Measures Are Still Incomplete

Anthropic's IPO filing discusses AI risks from two sides: the harm that advanced AI systems could cause to society and the business, financial, and reputation problems those threats could create for the company itself.

Anthropic divides the wider risks to society into four main groups: harmful use by people with bad intentions, loss of control over AI systems, abuse by authoritarian governments, and disruption to the economy. The company has spent heavily on safety measures designed to stop people from misusing its models. However, it admits that these protections are not perfect and may not prevent every harmful outcome.

The filing warns that Anthropic's most advanced models could provide “meaningful assistance to malicious actors seeking to develop chemical, biological, or other dangerous weapons.” This points to a major challenge for companies developing the most advanced AI systems: more powerful models can create useful business opportunities, but they can also make harmful activities easier.

Anthropic also warns that its technical protections have important limits. Safety measures may become outdated as threats change, skilled users may find ways around them, or the protections may not work as intended. Even as the company improves its safety systems, it cannot promise that every attempt to misuse its models will be found or stopped.

The filing also warns that authoritarian governments could use AI to increase repression and expand advanced surveillance. Instead of offering a specific technical fix that would remove these risks, Anthropic says it plans to work with what it calls “free societies” to fight authoritarian abuse and support freedom and democracy. However, it remains unclear how well these partnerships can prevent governments outside them from using AI for surveillance and repression.

Anthropic's safety rules have also caused tensions with the Trump administration. The disagreement followed the company's refusal to loosen restrictions that would allow its models to be used for mass surveillance of people inside the United States or for fully autonomous weapons. This dispute highlights a wider challenge for AI developers: balancing national security needs, business opportunities, and ethical limits on how increasingly powerful systems can be used. For investors, these tensions could create more uncertainty around government contracts, regulatory attention, and the company's wider business relationships.

Could Anthropic's Valuation Reach $2 Trillion?

Market estimates suggest that Anthropic could be valued at between $1.5 trillion and $2 trillion when it goes public. This reflects strong investor interest in the AI industry. At the top of this range, Anthropic would be one of the world's largest publicly traded companies, with a valuation similar to Meta's.

If Anthropic reaches a $2 trillion valuation, it would be worth more than the approximately $1.77 trillion valuation cited for SpaceX's June 2026 listing. This would place Anthropic among the largest IPOs in history. Even at this level, however, Anthropic would still be much smaller than Nvidia, whose market value has passed $5 trillion.

Anthropic's planned stock market listing is also becoming an important test of Wall Street's confidence in the AI investment boom. Major technology companies and AI startups are spending enormous amounts on data centers, advanced computer chips, and computing infrastructure. However, investors are increasingly asking whether future revenue and profits will be enough to justify these costs. A successful IPO at a high valuation could strengthen confidence in AI's business potential. But a lower-than-expected IPO price or poor performance after the listing could lead investors to rethink the value of private AI companies more broadly.

Axios has pointed out the wider importance of the offering, noting that Anthropic's IPO will test investor confidence in the AI industry. A successful start on the stock market could ease concerns about whether AI investments can last over time. However, growing market pressure and uncertainty about returns from infrastructure spending could make the process more difficult. In the end, the IPO will offer an important sign of how much investors are willing to pay for AI growth and whether their expectations can hold up when the company's costs, profits, and long-term returns are examined more closely.