OpenAI is aiming to commit roughly $600 billion in total computing expenditures through 2030, according to a source familiar with the matter, as the artificial intelligence company positions itself for a potential blockbuster public offering.
The scale of the planned investment underscores the capital intensity of advanced AI development, particularly as companies compete to secure the hardware and infrastructure required to train and deploy increasingly powerful models.
In 2025, OpenAI generated $13 billion in revenue, exceeding its earlier projection of $10 billion, while spending $8 billion during the year, coming in below a targeted $9 billion outlay.
The company, led by Sam Altman, is also reportedly pursuing a fundraising round exceeding $100 billion, which could value the firm at approximately $830 billion and mark one of the largest private capital raises on record.
Long-Term Revenue And Infrastructure Goals
OpenAI expects total revenue to surpass $280 billion by 2030, split nearly evenly between consumer-facing products and enterprise offerings, reflecting confidence in widespread adoption across multiple markets.
Altman previously said the company is committed to spending $1.4 trillion to build 30 gigawatts of computing capacity, an amount of power comparable to supplying electricity to roughly 25 million homes in the United States.
At the same time, reports indicate that costs associated with running AI models, known as inference expenses, increased fourfold in 2025, contributing to a decline in adjusted gross margin from 40 percent in 2024 to 33 percent last year.
Despite mounting operating costs, investor interest remains strong, with chipmaker Nvidia nearing finalization of a $30 billion investment as part of the broader fundraising effort.
The combination of surging revenue, expanding infrastructure commitments, and unprecedented capital raising illustrates both the promise and the financial demands of scaling frontier artificial intelligence technologies at a global level.
