OpenAI closes a $122 billion funding round at an $852 billion post-money valuation

On March 31, 2026, OpenAI said on X that it had closed its latest funding round with $122 billion in committed capital at an $852 billion post-money valuation. The accompanying official announcement framed the raise not as a defensive cash build but as expansion capital for compute, products, and enterprise deployment at global scale.

The most important part of the announcement is the operating picture OpenAI chose to publish alongside the financing. The company said ChatGPT now has more than 900 million weekly active users and over 50 million subscribers. It also said revenue has reached $2B per month, enterprise contributes more than 40% of total revenue, the API processes more than 15 billion tokens per minute, and Codex serves over 2 million weekly users. Those are company-reported figures rather than independently audited disclosures, but together they show how aggressively OpenAI is positioning itself as a combined consumer app, enterprise platform, and developer infrastructure business.

The investor mix reinforces that reading. OpenAI said the round was anchored by Amazon, NVIDIA, and SoftBank, with continued participation from Microsoft. It also named a16z, D. E. Shaw Ventures, MGX, TPG, and accounts advised by T. Rowe Price as key participants, alongside a wide list of global institutions. In parallel, OpenAI expanded its revolving credit facility to roughly $4.7 billion and said the facility remained undrawn at close.

The infrastructure section is just as significant as the financing headline. OpenAI laid out a broader compute portfolio spanning Microsoft, Oracle, AWS, CoreWeave, and Google Cloud on the cloud side, plus NVIDIA, AMD, AWS Trainium, Cerebras, and an in-house chip effort with Broadcom on the silicon side. That makes the announcement read less like a simple valuation update and more like a statement that OpenAI wants to control enough compute optionality to keep training, inference, and product rollouts moving even as demand diversifies.

OpenAI also used the moment to describe a unified AI superapp strategy built around ChatGPT, Codex, browsing, and broader agentic capabilities. In practical terms, the company is arguing that the next phase of AI will be won not only through model quality, but through the ability to combine compute supply, product distribution, enterprise adoption, and developer usage into one reinforcing system. The valuation number will grab headlines, but the deeper signal in the company’s own materials is that OpenAI is trying to define itself as both the infrastructure layer and the application layer for large-scale AI deployment.