OpenAI raises $122B
OpenAI closed a record $122 billion private funding round at an $852 billion valuation — the largest private tech raise ever — and now reports roughly $2 billion in monthly revenue, positioning an enormous IPO on the horizon. The capital is earmarked for global AI infrastructure, chips, data centers and a “superapp” push that will intensify the race for compute and talent. (bloomberg.com)
Amazon, Nvidia and SoftBank supplied the round’s anchor commitments — Amazon agreed to invest $50 billion while Nvidia and SoftBank each committed $30 billion, and Bloomberg reports $35 billion of Amazon’s pledge is contingent on an IPO or an AGI milestone. (bloomberg.com) The funding total rose beyond an $110 billion anchor that OpenAI announced in February after the company extended participation through bank channels and raised over $3 billion from retail investors; SoftBank co‑led the expanded round alongside a16z and D.E. Shaw, according to OpenAI and CNBC. (openai.com) OpenAI told investors enterprise sales account for about 40% of revenue and reported $13.1 billion in revenue for the prior year, while Microsoft participated in the new financing but did not disclose the size of its additional commitment. (bloomberg.com) The company disclosed plans to massively scale physical infrastructure — Bloomberg cites a commitment to more than $1.4 trillion in spending on infrastructure — and TechCrunch reports the AWS tie‑up expands a prior $38 billion compute-services commitment by roughly $100 billion and includes minimum consumption of 2GW of Trainium. (bloomberg.com) OpenAI’s investor roster named by the company includes major asset managers and funds such as ARK Invest (which will include OpenAI in several ETFs), BlackRock affiliates, TPG, Sequoia, Fidelity, D.E. Shaw, MGX and T. Rowe Price. (openai.com) Bloomberg and other outlets note the deal’s mix of strategic cloud and chip suppliers creates overlapping financial ties with rivals (notably Anthropic) and has prompted analysts to flag potential competitive and concentration risks if product and compute delivery fall short of expectations. (bloomberg.com)
