OpenAI eyes $600 billion compute spending through 2030 as AI infrastructure race accelerates

By Cygnus | 23 Feb 2026

OpenAI eyes $600 billion compute spending through 2030 as AI infrastructure race accelerates
A hyperscale data center campus, reflecting the massive infrastructure investments driving the expansion of advanced artificial intelligence systems. (AI generated)
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Summary

OpenAI is projected to spend about $600 billion on computing infrastructure through 2030, highlighting the escalating costs of building advanced AI systems and the scale of investment shaping the sector.

Artificial intelligence company OpenAI is expected to spend roughly $600 billion on compute infrastructure through 2030, according to a person familiar with the company’s plans cited in media reports.

The projected spending underscores the enormous capital requirements associated with developing and operating frontier AI models, as companies race to secure computing capacity and specialized chips.

Growth alongside heavy investment needs

OpenAI's financial outlook reflects both strong growth and significant cost pressures tied to scaling AI systems. The company generated about $13 billion in revenue in 2025, exceeding earlier internal expectations, according to the report.

At the same time, expenses linked to building and running AI models remain substantial, highlighting the capital-intensive nature of the industry.

Funding and strategic partnerships

The spending outlook comes amid ongoing fundraising efforts and deepening ties with infrastructure partners, particularly in cloud computing and advanced chips.

Industry reports indicate continued investment interest from major technology and semiconductor players, reflecting the strategic importance of compute capacity in the AI ecosystem.

A capital-intensive future for AI

The scale of projected investment illustrates how access to compute has become a primary competitive differentiator in artificial intelligence. Companies are increasingly allocating large amounts of capital to data centers, specialized hardware, and energy resources to support model development and deployment.

Why this matters

The projected spending trajectory highlights the growing financial barriers to entry in advanced AI, where success increasingly depends on access to vast computing resources and funding.

For investors and industry participants, the trend signals sustained demand across semiconductors, cloud infrastructure, data centers, and power generation — sectors closely tied to the AI build-out.

FAQs

Q1. Why is OpenAI planning such large compute spending?

Developing and operating advanced AI models requires massive data-center capacity, specialized chips, and energy resources.

Q2. How much revenue is OpenAI generating?

Reports indicate the company generated about $13 billion in 2025.

Q3. Is the $600 billion figure confirmed?

It is a projection cited by a person familiar with the company’s plans, not an official company forecast.

Q4. What does this mean for the AI industry?

It underscores an intensifying race to secure compute resources and scale infrastructure.

Q5. Who benefits from this spending trend?

Chipmakers, cloud providers, data-center operators, and energy suppliers are likely to see increased demand.

Q6. Does this imply an IPO is imminent?

The report suggests long-term strategic positioning, but no official timeline has been confirmed.

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