Less than three months after closing a $30 billion Series G at a $380 billion valuation, Anthropic is already fielding offers for a new funding round that would value the Claude maker above $900 billion, according to Bloomberg, which cited people familiar with the discussions. If the deal closes on those terms, Anthropic would leapfrog OpenAI’s $852 billion price tag and cement its position as the world’s most valuable private AI company.
The round could reach $50 billion, per the same Bloomberg reporting, which would make it one of the largest single private capital raises the technology industry has ever seen. Driving investor enthusiasm: an annualized revenue run rate that has reportedly surged to $30 billion, reflecting roughly 80-fold growth in a compressed timeframe. Anthropic has not publicly confirmed those figures, and as a private company it is under no obligation to do so. The revenue and growth numbers have been reported by Bloomberg, citing people familiar with the deal discussions, but no audited financials or regulatory filings have been released to independently verify them.
A valuation race measured in months, not years
The speed of Anthropic’s ascent is difficult to overstate. In early 2026, the company closed its Series G at $380 billion. Reuters reported around the same time that Goldman Sachs had partnered with Anthropic to automate banking tasks using AI agents. The Series G valuation figure was widely cited in financial press coverage of that period, though the Reuters article linked here focused on the Goldman Sachs partnership rather than the round’s specific terms. That partnership signaled something broader: regulated industries, historically cautious about adopting new technology, were betting on Claude.
Now, just weeks later, the valuation under discussion has more than doubled. A jump from $380 billion to north of $900 billion in a single quarter would be extraordinary even by the standards of the current AI boom, where successive funding rounds routinely come at steep premiums as investors scramble for exposure to frontier model companies.
OpenAI set the previous high-water mark in late March 2026, when it closed a $122 billion round backed by Amazon, Nvidia, and SoftBank at an $852 billion valuation. That deal gave OpenAI a massive war chest for compute infrastructure, model training, and product expansion. The fact that Anthropic may surpass that figure so quickly suggests investor appetite for AI has not plateaued. It has intensified, concentrating around the two companies seen as best positioned to capture the next wave of enterprise and consumer AI spending.
Why investors are paying a premium for Anthropic
Where OpenAI built its brand on consumer-facing products and early-mover advantage in generative AI, Anthropic has carved out a distinct identity around safety, reliability, and controllability. That positioning has resonated with a specific and lucrative customer base: large enterprises, financial institutions, and organizations in regulated sectors that need AI they can trust with sensitive workflows.
The Goldman Sachs collaboration is the most visible example, but it fits a pattern. Anthropic’s Claude models have gained traction among developers and enterprise buyers who prioritize predictable behavior and fine-grained control over raw capability benchmarks. For investors weighing where to place nine- and ten-figure bets, that enterprise pull appears to be a decisive factor.
The willingness to ascribe a near-trillion-dollar valuation to Anthropic also reflects a broader market thesis: that the AI industry is large enough to support more than one dominant platform company. Rather than a winner-take-all dynamic, investors seem to be pricing in a future where Anthropic and OpenAI each anchor different segments of the market, much as AWS and Azure coexist in cloud computing.
What the numbers do not yet show
For all the momentum, several critical details remain unconfirmed. Anthropic has not verified the $30 billion annualized revenue run rate or the 80x growth figure through any public disclosure, regulatory filing, or investor presentation. Those numbers originate from Bloomberg’s reporting, which attributed them to people familiar with the deal, not from audited financials. Until an S-1 or equivalent filing surfaces, they should be treated as market intelligence rather than established fact.
The composition of that revenue is also opaque. It is unclear how much comes from usage-based API contracts, longer-term enterprise agreements, or one-off licensing deals. An 80-fold increase over a short period could reflect genuine demand, but it could also include aggressive pricing to land flagship customers or large upfront payments that may not recur at the same scale. Without visibility into contract duration, customer concentration, churn rates, and margins, it is hard to judge how much of the reported run rate will prove durable.
The valuation comparison to OpenAI also carries an important asterisk. OpenAI’s $852 billion figure was set at the close of a completed transaction with named investors and finalized terms. Anthropic’s $900 billion-plus figure reflects offers under consideration, not a signed deal. Comparing a closed round to an active negotiation introduces asymmetry. If Anthropic’s terms shift downward, or if OpenAI raises again before Anthropic finalizes, the leapfrog narrative could reverse quickly.
The question no one has answered yet
Perhaps the most conspicuous gap in the current reporting is what Anthropic would actually do with $50 billion in fresh capital. Training frontier AI models is extraordinarily expensive, with single training runs now costing hundreds of millions of dollars in compute alone. Scaling inference infrastructure to serve a rapidly growing customer base adds another layer of capital intensity. And the talent war across the AI industry shows no sign of easing, with top researchers commanding compensation packages that rival those of senior executives at public technology companies.
But $50 billion is a staggering sum even by those standards. It raises the question of whether Anthropic is building toward something beyond incremental model improvements: a push into custom hardware, a major acquisition, or the kind of infrastructure buildout that would position it as a full-stack AI platform rather than a model provider. None of those possibilities have been confirmed, but the scale of the raise invites speculation that the company’s ambitions extend well beyond the next generation of Claude.
There is also the matter of an eventual public offering. A company valued at $900 billion or more in private markets will face mounting pressure from investors to provide a liquidity path. Whether Anthropic pursues an IPO in 2026 or 2027, the expectations baked into its current valuation will eventually need to be tested against the scrutiny of public market investors, analysts, and quarterly earnings cycles.
Where the AI funding race goes from here
As of late May 2026, the picture is this: two companies are locked in a capital-raising contest that has pushed private AI valuations into territory previously reserved for the largest public technology firms. Anthropic’s potential leap past OpenAI would signal that investors view its safety-first approach and deepening enterprise traction not as constraints but as competitive advantages worth a premium.
But the deal is not done. The headline numbers rest on confidential term sheets and internal projections, not public filings. Until Anthropic confirms the round and discloses at least high-level financial metrics, the most honest reading of the current reporting is that it captures a moment of extraordinary investor confidence in frontier AI, and an intensifying race between two companies to convert that confidence into the kind of durable, verifiable performance that justifies a near-trillion-dollar price tag.
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*This article was researched with the help of AI, with human editors creating the final content.
