Anthropic has entered preliminary negotiations with investors to raise at least $30 billion in new capital, targeting a valuation exceeding $900 billion. Sources indicate the financing round is projected for completion no earlier than May 2026, though no term sheets have been signed. A successful close would position the startup ahead of OpenAI, which held a valuation of $852 billion in March, and challenge the market capitalizations of established technology giants like Apple and Microsoft.

Notably, many early backers are declining to participate in this specific round, signaling caution despite the company's rapid ascent.

The valuation surge, representing a 15-fold increase over 14 months, is driven by aggressive revenue growth metrics. Publicly reported data shows annualized revenue climbing from $1 billion in December 2024 to $30 billion by March 2026, sustaining a growth rate exceeding 10 times annually. Eight of the Fortune Global 500 top ten companies are clients, with over 1,000 enterprise accounts spending more than $1 million annually on Claude. Data compiled by Woofun AI indicates that the developer-focused product, Claude Code, achieved $2.5 billion in annualized revenue by February 2026, just six weeks after its May 2025 launch, while enterprise subscriptions quadrupled in that period. At a $900 billion valuation against $30 billion revenue, the price-to-sales ratio stands at 30 times, a multiple justified by proponents who project sustained compound growth through 2028.

Competitor OpenAI has challenged these financial figures, arguing that Anthropic utilizes a total revenue accounting method that counts all terminal consumption as revenue while listing cloud platform fees as expenses. OpenAI estimates that after deducting intermediary costs, Anthropic's true annual revenue is closer to $22 billion, creating an $8 billion discrepancy that could become a focal point for regulators during an initial public offering. More critical than revenue recognition is the cost structure; Anthropic plans to spend approximately $19 billion on training and inference computing in 2026, nearly matching its entire annual revenue. Due to inference costs exceeding expectations by 23%, gross margins have compressed to roughly 40%, a figure significantly below mature enterprise software standards, with profitability not expected until 2028.

The primary driver for the $30 billion capital raise is the need to fund committed computing infrastructure rather than traditional product development or market expansion. This represents a shift in the AI era where startups must secure high valuations upfront to lock in massive future computing power, hoping that resulting model capabilities will justify the valuation. Woofun AI notes that this creates a self-reinforcing cycle where valuation drives computing commitments, which in turn necessitate higher subsequent valuations. CEO Dario Amodei previously warned that a 12-month delay in AI progress could lead to bankruptcy, highlighting the precarious balance between extraordinary success and operational failure for a company valued near $1 trillion.

Early investors who entered at valuations of $4.1 billion in 2023 or $61.5 billion in March 2025 are largely sitting out the current round. Bankers privately anticipate that if an IPO occurs as early as October 2026, the public market valuation could settle between $400 billion and $500 billion. Investing at a $900 billion private valuation would theoretically result in an immediate paper loss before stock unlock. This significant divergence between late-stage private pricing and expected public market valuation is historically rare and suggests either severe overvaluation or a fundamental disconnect in market pricing mechanisms.

Krishnan Rao, the company's financial steward, has been instrumental in diversifying computing power suppliers to mitigate reliance on single providers like Google. Rao championed a strategy to secure deep agreements with Amazon, Google, and Microsoft, alongside chip integration from NVIDIA, Google TPUs, and Amazon silicon. By the end of 2025, Rao led two major deals: a $30 billion investment to utilize Microsoft cloud servers running NVIDIA chips and securing up to 1 million TPUs from Google. By April 2026, agreements with Broadcom and Google further secured gigawatt-level data center power capacities, shifting the focus from purchasing to reserving future infrastructure. Since Rao's tenure, the company has raised $60 billion across multiple rounds, elevating its valuation to $380 billion by January 2026.

If the current financing succeeds, Anthropic is expected to pursue an IPO between October 2026 and the first half of 2027, with Goldman Sachs, JPMorgan Chase, and Morgan Stanley reportedly involved. The market focus will shift from growth potential to a referendum on the entire AI industry's valuation logic. Woofun AI analysis suggests that the IPO will subject complex issues like multi-year computing contracts, 40% gross margins, and revenue accounting debates to public market scrutiny. If the public market validates a $1 trillion valuation, the $900 billion entry price appears prudent; however, a $500 billion outcome would leave late private investors in a precarious position.

The upcoming IPO serves as a critical stress test for the structural assumptions of AI finance. If the market rejects the current valuation logic, it could signal a bubble burst similar to scenarios highlighted by Michael Burry regarding tech and chip stocks. Whether for Anthropic or the broader industry accustomed to soaring valuations, the pressure test has begun, with stock price trends poised to deliver the most ruthless and definitive pricing in the near future.