Anthropic Plans Nasdaq IPO at $2 Trillion Valuation

Anthropic is laying the groundwork for a massive public debut on the Nasdaq, targeting a potential valuation of $2 trillion or more. The artificial intelligence startup has pitched investors with news of its second consecutive profitable quarter. However, this profitability claim relies on an adjusted metric that excludes significant expenses, such as stock-based compensation. While the company boasts gross margins exceeding 80 percent, that figure does not account for model training costs or revenue-sharing agreements with major partners like Amazon.

Despite these accounting caveats, Anthropic's financial growth remains explosive. The company's quarterly revenue surged 14-fold compared to the previous year, reaching $11.5 billion. By the end of July, its annualized revenue run rate climbed to $65 billion. According to Joey Brookhart, an analyst at SemiAnalysis, investors are anticipating an annualized revenue of $120 billion by the end of this year, with expectations that this figure will nearly triple by the end of 2027.

Rather than publishing its prospectus widely last week as initially anticipated, Anthropic chose to distribute the documents privately to a select group of investors. This cautious approach to its public debut coincides with unexpected public statements from leadership. Anthropic Chief Executive Officer Dario Amodei recently called for a temporary slowdown in AI development, a sentiment echoed by OpenAI's Sam Altman and Tesla's Elon Musk. Altman also confirmed that OpenAI has no plans to go public this year, leaving Anthropic to potentially lead the sector's transition to public markets.

For AI practitioners and enterprise clients, Anthropic's financial trajectory suggests a highly stable, well-capitalized partner capable of sustaining long-term model development. A successful $2 trillion IPO would secure the massive capital reserves required to train next-generation Claude models without relying solely on venture debt or cloud partner subsidies. However, the call for slower development from Amodei could signal a shift in release cycles, meaning developers might see a focus on safety and optimization rather than a relentless race for raw model scale.