OpenAI Projects $600 Billion AI Compute Spend Ahead of Potential IPO

OpenAI has outlined plans to spend roughly $600 billion on computing infrastructure and operations through the end of the decade, signaling the enormous scale required to support its next phase of growth. The figure, shared with investors, reflects a more defined and near-term outlook as the company prepares for what could become one of the most valuable tech IPOs in history.

A Massive Bet on AI Infrastructure

The projected $600 billion covers the combined cost of training and running OpenAI’s models between now and 2030. That includes investments in data centers, high-end GPUs and AI accelerators, networking, and power capacity.

Much of the spending is expected to flow through key partners such as Nvidia and Microsoft, along with other hardware and infrastructure suppliers. Analysts say the figure likely blends both capital expenditures for new AI infrastructure and the ongoing operating costs required to serve hundreds of millions of users.

The updated target replaces earlier public remarks from CEO Sam Altman that referenced up to $1.4 trillion in long-term AI infrastructure ambitions. Investors view the new number as more concrete and time-bound, offering clearer visibility into near-term planning.

Strong Revenue Growth but Rising Costs

OpenAI’s infrastructure push comes alongside rapid business expansion. The company is reported to have generated approximately $13 billion to $13.1 billion in revenue in 2025, surpassing earlier internal expectations of around $10 billion.

Expenses for the year were about $8 billion, slightly below projections. Looking ahead, OpenAI is forecasting more than $280 billion in cumulative revenue by 2030, with income expected to be split roughly evenly between consumer products such as ChatGPT and enterprise offerings including APIs and platform partnerships.

However, the economics remain challenging. Independent analyses indicate inference costs surged sharply in 2025, contributing to a drop in adjusted gross margins from roughly 40 percent to about 33 percent. That pressure underscores why careful pacing of compute investment is becoming critical.

Fundraising and IPO Ambitions

To finance its expansion, OpenAI is reportedly working toward a new funding round exceeding $100 billion. Nvidia is said to be considering an investment of up to $30 billion as part of the effort.

Depending on final terms, the round could value the company in the range of $700 billion to $830 billion before any public listing. People familiar with the discussions say the long-term objective is to lay the groundwork for an IPO that could approach a $1 trillion valuation.

A More Grounded Roadmap

Compared with the earlier $1.4 trillion narrative, the $600 billion plan is widely interpreted as a more pragmatic roadmap. It suggests OpenAI is aligning infrastructure spending more closely with revenue growth and real-world demand rather than pursuing the most aggressive theoretical build-out.

Even so, the numbers highlight the extraordinary capital intensity of frontier AI. As models grow more complex and usage scales globally, the cost of compute is emerging as one of the defining strategic constraints in the industry.

For investors and competitors alike, OpenAI’s latest projections reinforce a central reality: the race to advanced AI will be driven as much by access to power, chips, and data centers as by breakthroughs in algorithms.