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Anthropic closed a $30 billion Series G at a $380 billion valuation in February 2026 [2][3] — described as the second-largest private funding deal on record [1] — then confirmed a $30 billion annualized revenue run rate in April, up roughly 80x from a year prior [4][5], and projected its first operating profit in Q2 2026 [6]. By May, reports from the New York Times, CNBC, and Forbes indicated Anthropic was exploring a further fundraise at $900-950 billion, which would surpass OpenAI's valuation [8][9][10]. Underpinning the growth: $100B+ committed to AWS, a reported $200B to Google [4][12], Anthropic now serving 8 of the Fortune 10 [24], Andrej Karpathy joining to lead pretraining research [16], and the $300M+ acquisition of Stainless giving Anthropic direct control of the dominant SDK and MCP server generation layer [19][20].

The near-tripling of Anthropic's valuation from $380B to a potential $950B in under four months — driven by revenue that itself jumped from $9B to $30B annualized in months — marks a pace of financial ascent with few precedents in enterprise software. The convergence of approaching profitability, multi-hundred-billion-dollar compute commitments across all three major clouds, and Fortune 100 penetration signals that Anthropic has crossed from AI research challenger to structural enterprise infrastructure provider, with implications for how cloud providers, investors, and rivals price and position against frontier AI at scale.

Anthropic's financial position has shifted more sharply in the first half of 2026 than almost any observer had predicted. In February 2026, the company closed a $30 billion Series G funding round at a $380 billion post-money valuation — described by Crunchbase as the second-largest private funding deal of all time [1][2][3]. Two months later, an official Anthropic announcement confirmed that its annualized revenue run rate had surpassed $30 billion, up from approximately $9 billion at the end of 2025 — a pace described by VentureBeat as roughly 80x growth [4][5]. That trajectory enabled Anthropic to project its first operating profit in Q2 2026, approximately two years ahead of prior internal estimates [6][7]. Within weeks of those disclosures, the New York Times, CNBC, and Forbes reported that Anthropic was exploring a further fundraise at a valuation of $900 billion to $950 billion, which would surpass OpenAI and approach the trillion-dollar threshold [8][9][10][11].

The revenue growth has triggered compute commitments at extraordinary scale. In April 2026, Anthropic and Amazon formalized an expansion securing up to 5 gigawatts of capacity, with nearly 1 GW of Trainium2 and Trainium3 expected online by end of 2026, under a 10-year commitment for Anthropic to spend more than $100 billion on AWS technologies [4]. Amazon simultaneously committed a further $5 billion directly into Anthropic, with up to $20 billion more pledged going forward, building on a prior $8 billion investment [4]. Anthropic also announced a $200 billion commitment to Google's cloud and chip infrastructure in an arrangement involving Google and Broadcom [12][13]. These deals make Claude the only frontier AI model available across all three major cloud platforms: AWS Bedrock, Google Cloud Vertex AI, and Microsoft Azure Foundry [4]. Separately, The Information reported that Anthropic is in early-stage talks to lease Microsoft's custom Maia 200 chips for inference workloads, with Microsoft pitching the hardware as more cost-effective than Nvidia's at scale — news that moved Microsoft's stock approximately 2% [14][15].

On talent and tooling, two high-profile additions have extended the build-out across research and infrastructure. Andrej Karpathy — OpenAI co-founder, former Tesla AI director, and a prominent independent voice in the field — announced in May 2026 that he is joining Anthropic specifically to lead pretraining research [16][17]. Karpathy framed the move in terms of historical significance: 'I think the next few years at the frontier of LLMs will be especially formative' [17]. Commentary in the press framed the hire as a signal about the competitive stakes of the 'real AI war' between frontier labs [18]. Separately, Anthropic acquired Stainless — the company that had generated every official Anthropic SDK and built MCP server generation capabilities deployed across hundreds of companies — in a deal reportedly valued at over $300 million [19][20]. Stainless itself had argued that MCP was fast becoming foundational infrastructure for agentic systems, publishing a post titled 'MCP is eating the world — and it's here to stay' [21]. Competitor Speakeasy responded by publishing a direct head-to-head comparison of MCP server generators — positioning itself against the newly Anthropic-owned Stainless — and independent analysis framed Anthropic's ownership of the SDK and MCP layer as strategic control over tooling that extends well beyond its own products [22][23].

Anthropicreportedly serves 8 of the Fortune 10 and approximately 70% of the Fortune 100 [24], figures that help explain the revenue trajectory but also frame the stakes of the infrastructure strategy. The central open question — flagged across financial commentary — is whether operating profitability can hold as the enormous compute commitments convert from signed agreements into real capital expenditure. A potential near-tripling of valuation from $380 billion in February to a reported $900-950 billion in May would, if confirmed, represent one of the fastest large-cap private valuation escalations in technology history [8][1][9].