Tech

Anthropic files for IPO ahead of rival OpenAI

The artificial intelligence company has confidentially submitted paperwork for an initial public offering, positioning itself to precede competitor OpenAI in the public markets.

Author
Mara Ellison
Science and Space Editor
Published
Draft
Source: MIT Technology Review · original
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Anthropic has confidentially filed for an initial public offering, with the company aiming to list on the stock exchange as early as autumn 2026. The filing positions the artificial intelligence firm to potentially go public before its primary rival, OpenAI, a move that could significantly alter the competitive landscape of the sector.

The company has not disclosed its target valuation for the offering. Industry observers note that the listing is expected to occur shortly after the anticipated trillion-dollar initial public offering by SpaceX, suggesting a tight window for capital market activity involving major technology entities.

The strategic timing of the filing comes amidst heightened regulatory scrutiny and legal challenges facing the broader artificial intelligence industry. In a separate development, Florida has become the first US state to sue OpenAI, alleging that the company prioritised profit over child safety regarding its ChatGPT platform. Concurrently, the European Union is moving to reduce its dependence on US technology giants, potentially excluding firms such as Amazon, Microsoft, and Google from critical contracts.

Operational challenges have also emerged for Anthropic. Reports indicate that an unauthorised group has accessed the company’s internal system, known as Mythos. This security incident highlights the risks associated with the increasing reliance on artificial intelligence for administrative and support functions, a trend further underscored by recent exploits where hackers used Meta AI to steal Instagram accounts.

Despite these challenges, Anthropic remains focused on its public market ambitions. The company is part of a broader group of top AI labs, including Meta and DeepMind, that are increasing investments in research into machine consciousness. As the sector matures, the race to secure public funding and navigate complex regulatory environments will likely intensify.

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