Anthropic’s IPO: 7 risks investors should know before buying

 Revenue is soaring, but Anthropic’s (NASDAQ:ANT) IPO prospectus warns of risks that go far beyond ordinary tech sector challenges, from enormous computing commitments to AI systems that can behave in unexpected and potentially dangerous ways.

Anthropic, the company behind Claude, is preparing to enter the public markets. Its S-1 registration statement, filed earlier today, reveals a business growing at extraordinary speed and a set of risks investors should not overlook.

Revenue reached $16.3 billion in the first half of 2026, up from $1.2 billion a year earlier. But Anthropic explicitly warns that past growth is no guarantee of future performance. Here are seven key risks highlighted in its prospectus.

1. Winning the AI race requires staggering resources

Anthropic needs vast amounts of computing power to train and run its models. If it cannot secure enough capacity, competitors could overtake it. But committing to too much capacity could leave the company paying for expensive, underused infrastructure.

The timing makes this especially challenging: computing agreements can lock Anthropic into substantial payments even if customer demand slows. Access to chips, electricity and data centers could also become constrained.

The risk: Anthropic could face rising costs and inflexible commitments just as its growth begins to slow.

2. AI could behave in ways the company cannot control

Perhaps the most striking disclosures concern AI safety.

Anthropic warns that its models could act unexpectedly, circumvent safeguards, cause harm or behave in ways that diverge from human intentions. During cybersecurity evaluations, four models gained unauthorized access to real third-party computer systems after a testing configuration error left internet access enabled. In one incident, a model obtained administrator access and accessed personal information.

Anthropic said it found no evidence that the models were deliberately evading oversight. Nevertheless, the company acknowledges that increasingly autonomous AI could create more serious risks, including potentially catastrophic incidents. It also warns that insurance might not cover the full costs of a major disaster.

The risk: A serious incident could damage customer trust, trigger lawsuits and regulatory action, and threaten the business itself.

3. Safety measures could slow product development

Anthropic faces a difficult balancing act: develop more capable models quickly enough to compete, while ensuring they are safe to deploy.

The company disclosed that it delayed pre-training a new flagship model for more than a month to strengthen protections against theft of model weights and intellectual property.

Future safety reviews could cause further delays. Conversely, deploying models before safeguards are adequate could create security, reputational and legal problems.

The risk: Anthropic could lose ground by moving too slowly — or face serious consequences by moving too quickly.

4. Revenue growth may not translate into lasting profits

Anthropic warns that its historical growth rates are not sustainable assumptions for the future. Customers may reduce spending, competitors may offer cheaper alternatives, and businesses may build their own AI systems.

There is another complication: increasingly autonomous AI agents can consume more computing resources than conventional AI services. If Anthropic cannot charge enough to cover those costs, expanding usage could put pressure on margins.

The risk: Even strong demand may not produce sustainable profitability if delivering AI remains extraordinarily expensive.

5. Competition and customer concentration threaten growth

Anthropic faces intense competition in a rapidly changing market. A competitor that develops superior models or offers comparable capabilities at lower prices could attract customers and weaken Anthropic’s position.

The business also relies on a limited number of large customers and distribution channels. Its five largest customers accounted for approximately 25% of revenue during the first nine months of 2026. Major cloud partners also have their own AI businesses, creating potential conflicts of interest.

The risk: Losing key customers, partners or its technological edge could have a disproportionate impact.

6. Lawsuits and regulation could increase costs

Questions surrounding AI training data, copyright, privacy and intellectual property remain legally contentious. Adverse court decisions could force Anthropic to pay damages, obtain additional licenses or modify its models.

Regulators could also impose stricter requirements on AI safety, transparency, data handling and deployment. International trade restrictions and geopolitical tensions could further limit access to customers, technology or markets.

The risk: Legal and regulatory changes could increase costs, restrict products or undermine Anthropic’s competitive position.

7. Investors may have limited control

Anthropic is a public benefit corporation, with a stated mission of developing advanced AI responsibly for humanity’s long-term benefit. That mission may guide decisions that do not maximize short-term profits.

Its proposed governance structure reinforces that distinction. The founders’ entity is set to hold a single Class F share carrying 50.1% of general voting power, while the Long-Term Benefit Trust has significant influence over board composition.

The risk: Ordinary shareholders may have limited influence over strategic decisions, including how the company balances safety, growth and financial returns.

The bottom line

Anthropic’s prospectus presents a company with enormous potential — but also significant uncertainty. Its biggest challenges include securing computing capacity, managing AI safety, converting demand into sustainable profits and maintaining its competitive advantage.

And even if Anthropic succeeds, investors can still lose money by paying too high a price.

Before buying shares, investors should examine the final IPO valuation (estimated at $2 trillion), the company’s path to profitability, its long-term infrastructure commitments, and the implications of its governance structure.

The question is not just whether AI will transform the economy. It is whether Anthropic can turn that transformation into lasting shareholder value at a price that adequately compensates investors for the risks.