OpenAIとAnthropicの最新ニュースの背後にある数学を検証する
本記事では、OpenAIとAnthropicが発表した最新の成果や主張について、その数学的・統計的根拠を精査する。両社の発表には注目が集まる一方、実際の数値や方法論には疑問点も多く、マーケティングと現実のギャップを冷静に分析する必要がある。専門家の視点から、公開されたデータの信頼性や再現性について検証を行う。
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Anthropic announced a run rate revenue of $47 billion, raised $65 billion in a Series H round, and achieved a post-money valuation of $965 billion.
Anthropic's run-rate revenue has hit $47 billion, up from $30 billion in April and $14 billion in February 2026, according to its $65B Series H filing. The annualized figures show extremely rapid growth, though some observers have expressed skepticism about the projections.
Simon Willison argues Anthropic and OpenAI have found product-market fit through enterprise coding agents. Both companies shifted to API-based enterprise pricing, and recent models cost more. Stories of Uber blowing its AI budget and Microsoft canceling Claude Code licenses suggest customers are paying high prices for genuinely useful tools, making April 2026 a new revenue inflection point.