OpenAI’s $852B Valuation Comes Under Fire as Anthropic’s Surge Reframes the AI Race

Big-money scrutiny as strategy shifts

OpenAI’s decision to pivot more aggressively toward the enterprise market has not settled investor nerves. It has been reported that OpenAI announced a new financing round that secured $122 billion in committed capital and set a post‑money valuation of $852 billion, with backers including SoftBank, Amazon, Nvidia, Andreessen Horowitz, Sequoia and Thrive Capital. Reportedly, some early investors worry the company is spreading itself thin — chasing enterprise tools, code assistants and consumer products at the same time — even as rivals close the gap.

Anthropic, founded in 2021 by former OpenAI researchers and executives, has become the sharpest of those rivals. It has been reported that Anthropic’s annualized revenue jumped from about $9 billion at the end of 2025 to roughly $30 billion by March, helped largely by demand for its programming tools. Revenue accounting differs between the firms, so direct comparisons are imperfect, but secondary markets have lately shown stronger appetite for Anthropic paper, with some buyers willing to pay a premium.

The compute arms race and investor calculus

Beyond headline valuations, the contest is about compute scale and unit economics. OpenAI has touted access to 8 gigawatts (GW) of compute today and a plan to reach 30 GW by 2030; Anthropic’s compute was reportedly around 1.4 GW at the end of 2025 with expectations of reaching 7–8 GW next year. That gap underpins OpenAI’s case for defending market share: even if a model is slightly weaker, larger scale can deliver broader, cheaper service. But investors note Anthropic’s faster path to profitability and more disciplined expansion could make it a better risk-reward proposition.

What does this mean for customers and policymakers? For enterprises deciding which stack to bet on, the choice is now not only about model quality but also about commercial focus, pricing and reliability. For regulators and geopolitical watchers, the escalation underscores how a handful of U.S. and global cloud and chip suppliers — and their partnerships with AI developers — shape who wins in AI, with implications for competition, national security and trade policy. It has been reported that some investors now see a clear first‑and‑second market structure; the winner will likely capture disproportionate advantage.