OpenAI Compute Spending Could Hit $600 Billion in 2030 as Revenue Target Tops $280 Billion

OpenAI is accelerating its infrastructure buildout to secure the computing capacity needed for training advanced AI models and serving a growing base of users and businesses. Data centers, specialized chips and reliable power supplies have become strategic constraints across the industry. The scale of the company’s plan through 2030 underscores how competition in generative AI increasingly depends on access to capital, energy, land and large-scale computing systems.

OpenAI has raised its projected AI infrastructure spending through 2030 to $750 billion, about 25% above its previous estimate. The initial projects include a planned $20 billion investment in Georgia for Project Camellia, a large data-center campus intended to expand the company’s computing and service capacity. The revised budget signals a sharp increase in OpenAI’s long-term capital requirements as it builds the physical infrastructure supporting its models and products.

OpenAI is escalating its infrastructure ambitions as access to computing power becomes central to competition in generative artificial intelligence. The company plans to secure capacity through a major Oracle cloud agreement while building its own Project Camellia data centers. The strategy could support larger models and wider product adoption, but it also creates an extraordinary funding burden and raises questions about cash flow, financing and OpenAI’s ability to honor long-term commitments.

OpenAI has increased its planned compute and infrastructure spending through 2030 to about $750 billion, with much of the outlay tied to Oracle capacity and Project Camellia. Its annualized revenue, however, remains around $25 billion, leaving projected spending at nearly 30 times the current revenue run rate. The widening gap has fueled concern within management over whether the company can meet its contractual obligations and sustain the expansion without substantially faster sales growth or additional capital.

OpenAI has long spent heavily on research, development and computing capacity to build generative AI models and operate ChatGPT. As rivals including Anthropic accelerate their expansion, investors are focused on whether OpenAI can turn its rapidly growing user base and revenue into profits—a key consideration in assessing its prospects for a public listing and future funding needs.

Recently leaked audited financial documents showed that OpenAI generated more than $13 billion in revenue in 2025 but posted a $20.9 billion operating loss, about eight times the previous year’s figure. The company has told investors it does not expect to become profitable until 2030. It has also shut down some projects, including Sora, to concentrate resources and narrow its funding gap.

OpenAI’s capital needs have surged as it has continued investing in large models, AI chips and data centers since launching ChatGPT in November 2022. The SoftBank-led financing set records for a single funding round in Silicon Valley and the AI industry. It also reflects OpenAI’s push into the enterprise market and preparations for a potential IPO.

OpenAI announced in July 2026 that it had completed a $122 billion funding round at a post-money valuation of $852 billion, while monthly revenue had surpassed $2 billion. The proceeds will fund chips, data centers and model development. Some employees will also be able to sell shares through the transaction, and OpenAI tapped retail investors through bank distribution channels for the first time.