OpenAI Revenue Nears $70 Billion as Funding Ambitions and Compute Plans Shift

OpenAI’s annualized recurring revenue is nearing $70 billion, reflecting rapid growth across consumer subscriptions and business use of its artificial intelligence products. Axios first reported the figure, which was repeated by Reuters, Bloomberg and other outlets on Sept. 29.

The figure is a run rate, not reported annual revenue or confirmed profit. It extrapolates recent performance across a full year, making it a measure of momentum rather than a completed financial result. Still, the scale places OpenAI among the highest-valued technology companies and gives investors a concrete basis for assessing its funding and spending ambitions. The reported increase also shows how generative AI has shifted from an experimental product category into a large software market with recurring customer demand.

OpenAI is seeking a new funding round that could raise at least $30 billion, with reported valuations ranging from $1.2 trillion to $1.5 trillion. Bloomberg reported the $30 billion target and a $1.4 trillion valuation, while The New York Times and Reuters cited separate valuation figures and discussions ahead of a possible initial public offering.

The variation reflects negotiations rather than a completed transaction. A valuation at this level would make OpenAI one of the most valuable private technology companies in history and give the company more capital for computing infrastructure, research and product expansion. It would also place greater pressure on OpenAI to sustain revenue growth as investors judge whether its commercial adoption can justify the cost of developing and operating increasingly powerful models.

OpenAI has reset its long-term spending expectations, with a target of about $600 billion by 2030, according to CNBC. That figure is lower than a previously reported $1.4 trillion compute target, a change also highlighted by CryptoRank.

The revision indicates that OpenAI is adjusting its infrastructure plan as hardware costs, energy needs, financing requirements and model-development priorities evolve. A $600 billion target remains enormous, covering data centers, chips, power and related systems over several years. It also shows why revenue growth alone doesn't settle the company’s financial challenge: serving more users and training larger models requires a heavy capital base. The shift gives investors a revised benchmark for judging OpenAI’s cash needs and relationships with infrastructure suppliers.

OpenAI’s revenue trajectory raises the stakes for rival model providers, cloud companies and chip suppliers. A larger OpenAI customer base increases demand for data-center capacity and advanced processors, while the company’s fundraising plans give it more resources to compete with Microsoft, Google, Anthropic, Meta and other developers.

Microsoft remains closely tied to OpenAI through its commercial relationship and cloud infrastructure, while Nvidia stands to benefit from sustained demand for accelerated computing. Google and Meta face competitive pressure across consumer assistants, enterprise software and developer platforms. OpenAI’s revised compute target also matters to suppliers because it signals that infrastructure commitments are being reassessed even as demand continues to grow. The result is a market balancing aggressive expansion against tighter scrutiny of capital efficiency.

OpenAI’s funding discussions are unfolding alongside reports that the company is preparing for a possible IPO. Reuters, citing the Financial Times, described a funding round at a $1.2 trillion valuation ahead of an IPO, while The New York Times reported that OpenAI was considering financing at $1.5 trillion.

A public listing would expose the company to quarterly reporting, shareholder scrutiny and a clearer test of whether its revenue can support its infrastructure commitments. The reported $70 billion run rate strengthens the case for market interest, but recurring revenue remains only one part of the valuation equation. Investors will also examine margins, customer retention, dependence on cloud and chip suppliers, legal obligations, model-development costs and the pace of new product adoption. OpenAI’s next financing decision will help define those expectations before any listing occurs.

OpenAI’s immediate priorities are securing capital, sustaining recurring revenue growth and translating revised infrastructure plans into operating results. The company’s reported momentum gives it negotiating power, but the scale of its ambitions makes execution central to the story.

Investors will watch whether the $70 billion run rate continues rising, whether the new funding target becomes a completed transaction and whether the $600 billion 2030 spending plan changes again. Customers will focus on product reliability and pricing, while suppliers will track orders for chips, data centers and power. The combination of rapid revenue growth, multibillion-dollar financing and unprecedented compute requirements puts OpenAI at the center of the AI industry’s shift from product race to capital-intensive business.