OpenAI raises 2030 capex forecast to $750 billion

OpenAI has significantly increased its long-term infrastructure spending plans, raising its projected capital expenditure (capex) through 2030 to $750 billion, up from an earlier estimate of $600 billion. The revised forecast highlights the enormous computing requirements needed to develop and deploy increasingly advanced artificial intelligence (AI) models, as the ChatGPT maker races to secure the data centers, chips, and energy needed to support future growth.

The higher spending target comes as OpenAI expands beyond relying solely on cloud partners and takes greater control over its AI infrastructure. The company is investing in large-scale data center projects while maintaining multibillion-dollar cloud agreements with Microsoft, Oracle, and Amazon Web Services (AWS), reflecting the escalating cost of competing in the AI industry.

OpenAI Raises 2030 Capex Target

OpenAI’s updated infrastructure spending plan marks one of the largest capital commitments ever announced by an AI company.

Capex Forecast

Metric	Previous Estimate	Updated Estimate
Total Capex Through 2030	$600 billion	$750 billion
Increase	—	+$150 billion (25%)

The additional investment is aimed at expanding AI computing capacity to support larger foundation models, enterprise AI services, and the growing global user base of ChatGPT and other OpenAI products.

Massive Investments in AI Infrastructure

A large share of the planned spending will go toward building and operating AI infrastructure.

Key investment areas include:

• Large-scale AI data centers.
• Advanced graphics processing units (GPUs).
• Custom AI computing infrastructure.
• High-speed networking systems.
• Energy and power infrastructure.
• AI model training and inference capacity.

These investments are intended to ensure OpenAI has sufficient computing resources as demand for generative AI continues to accelerate.

Infrastructure Priorities

Investment Area	Purpose
Data Centers	Expand AI compute capacity
GPUs & AI Chips	Train and run frontier AI models
Networking	Support high-performance AI clusters
Power Infrastructure	Meet rising electricity demand
Cloud Infrastructure	Scale enterprise AI services

Strategic Shift Toward Greater Infrastructure Control

OpenAI is increasingly taking responsibility for designing and developing its own AI infrastructure rather than relying exclusively on external cloud providers.

One of the company’s biggest initiatives is Project Camellia, a planned AI data center campus in Georgia. OpenAI has also secured major long-term cloud commitments with:

• Oracle, for approximately 6 gigawatts of computing capacity.
• Amazon Web Services (AWS), through a deal reportedly valued at $138 billion.
• Microsoft Azure, which remains a key infrastructure partner.

The strategy is designed to diversify computing resources while improving long-term control over AI deployment.

Rising Costs Reflect the AI Arms Race

OpenAI’s spending increase highlights the escalating financial demands of developing frontier AI systems.

The company is competing with major technology firms including:

• Microsoft.
• Alphabet (Google).
• Amazon.
• Meta.
• Anthropic.
• xAI.

Each company is investing heavily in AI chips, cloud infrastructure, and data centers, making computing capacity one of the industry’s most valuable strategic assets.

Revenue Growth Must Keep Pace

While OpenAI has raised its infrastructure budget, it has also increased its long-term revenue projections.

The company expects stronger growth from:

• ChatGPT subscriptions.
• Enterprise AI services.
• API usage.
• Advertising.
• Future AI hardware initiatives.

However, internal forecasts also indicate substantially higher cash burn over the remainder of the decade as infrastructure costs continue to rise.

Growth vs. Spending

Area	Trend
AI Revenue	Increasing
Infrastructure Spending	Increasing sharply
Computing Demand	Accelerating
Cash Burn	Expected to remain elevated

Looking Ahead

OpenAI’s decision to raise its projected 2030 capital expenditure to $750 billion underscores the unprecedented scale of investment required to remain competitive in artificial intelligence. As AI models become larger and more capable, demand for advanced chips, data centers, and energy infrastructure is growing rapidly, making computing capacity a critical competitive advantage. The company’s strategy reflects a shift toward greater ownership of its infrastructure while continuing to leverage partnerships with leading cloud providers.

Looking ahead, OpenAI’s success will depend on its ability to translate these massive infrastructure investments into sustainable revenue growth through ChatGPT, enterprise AI services, APIs, and future products. While the increased capex highlights confidence in long-term AI demand, investors will closely watch whether revenue growth can keep pace with the rising costs of building the next generation of AI infrastructure.