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Anthropic files for mega IPO

Claude maker prepares potential stock market debut as investor interest in AI companies continues growing

Anthropic, the artificial intelligence company behind Claude, has officially filed for an initial public offering (IPO) in the United States, setting the stage for what could become one of the biggest stock market debuts in history. The company submitted its registration statement to the US Securities and Exchange Commission (SEC) on October 26, outlining its financial performance, business strategy and the risks associated with developing advanced AI technology.

The proposed listing could value Anthropic at between $1.5 trillion and $2 trillion, according to media reports, although the company has not yet disclosed its final valuation, share price or the number of shares it intends to sell. Reports suggest the offering could raise around $100 billion, potentially challenging records set by other major technology listings. These figures remain estimates rather than confirmed IPO terms.

The company plans to list its shares on the Nasdaq under the ticker symbol ANT. Goldman Sachs and Morgan Stanley are leading the offering, alongside other financial institutions involved in the process. The company is reportedly targeting a November debut, potentially during the week of November 16, although the timetable could change depending on regulatory requirements and market conditions.

Anthropic’s public filing marks an important moment for the generative AI industry. The company has grown rapidly as businesses adopt AI tools for software development, research, customer support and other professional tasks. Its Claude chatbot and associated AI models compete with products developed by OpenAI, Google and other technology companies.

The financial figures disclosed in the registration statement highlight both the scale of Anthropic’s growth and the cost of its expansion. The company generated approximately $16.3 billion in revenue during the first six months of 2026, compared with around $1.2 billion in the corresponding period a year earlier. The increase reflects rising demand for its AI products and services.

However, Anthropic also reported a net loss of approximately $80.7 billion for the first half of 2026. A substantial portion of that figure came from a non-cash accounting adjustment linked to the changing valuation of convertible financing instruments. The company reported an operating loss of approximately $693 million during the same period, a different measure that more directly reflects operating expenses against operating revenue.

The distinction is important for investors assessing the business. Although Anthropic’s revenue has increased sharply, developing advanced AI systems requires substantial spending on computing infrastructure, specialised chips, data centres and highly skilled employees. The company must continue investing in these resources to train models, improve performance and meet demand from customers.

Anthropic has also warned investors that its infrastructure requirements could lead to significant capital expenditure. Competition among AI developers has intensified as companies race to build increasingly capable models and secure computing capacity. The financial commitments involved raise questions about how quickly even rapidly growing AI businesses can convert demand into sustainable profits.

The company has attracted significant interest from enterprise customers, which use Claude for tasks ranging from coding assistance to document analysis and business automation. Anthropic disclosed a broad customer base, including thousands of businesses generating substantial annual revenue for the company. Its five largest customers together accounted for approximately a quarter of its revenue in 2026, highlighting both the strength of enterprise demand and the risks associated with customer concentration.

Anthropic’s business model also depends on relationships with major technology companies that provide cloud infrastructure and computing resources. Such partnerships help the company scale its AI services, but they can also create dependencies involving infrastructure availability, costs and distribution. Investors are likely to examine these relationships closely when evaluating the company’s long-term financial prospects.

The registration statement also addresses the potential risks of advanced artificial intelligence. Anthropic has built its public identity around developing AI systems with a strong emphasis on safety, but its filing acknowledges that increasingly capable models could be misused or cause serious harm. The company faces challenges involving cybersecurity, misuse, regulatory uncertainty and the difficulty of ensuring that safeguards remain effective as its technology advances.

Corporate governance will be another important consideration. Anthropic operates as a public benefit corporation, a structure that allows it to consider its stated public-benefit objectives alongside financial interests. Its proposed voting arrangements would give the company’s seven co-founders 50.1% of voting power through a special share structure. This could preserve founder influence even after the company begins trading publicly.

The IPO also arrives as investors debate whether the enormous valuations attached to artificial intelligence businesses can be justified by future earnings. Anthropic’s rapid revenue growth provides evidence of commercial demand, but its substantial losses and infrastructure commitments demonstrate the financial challenges of operating at the forefront of AI development.

For prospective investors, the offering will provide a closer look at the economics of one of the industry’s most prominent companies. The final valuation, share price, ownership structure and financial outlook will help determine whether the public market is prepared to support Anthropic’s ambitions.

If the listing proceeds as expected, Anthropic’s Wall Street debut could become a defining event for the AI sector. Its performance will offer investors a clearer indication of how they value fast-growing AI businesses, their spending requirements and their prospects for long-term profitability.