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Meta To Invest $600 Billion In AI Infrastructure Across The US

Meta announced it will spend $600 billion in the United States by 2028 to expand its data centres and AI operations. The company said this will support infrastructure, technology, and workforce growth across the country. In a blog post, Meta described…

Meta announced it will spend $600 billion in the United States by 2028 to expand its data centres and AI operations. The company said this will support infrastructure, technology, and workforce growth across the country. In a blog post, Meta described the investment as part of its goal to build “personal superintelligence for everyone” and help the country maintain its edge in technology.

The company has linked its massive spending pledge to both job creation and AI development. It said its projects already support over 30,000 skilled trade jobs and 5,000 operational roles. Meta described its data centres as engines for economic growth, stating that over $20 billion in business has gone to US-based subcontractors working on steel, electrical, and fibre projects.

Meta’s Chief Executive Mark Zuckerberg previously said the company was building several large AI-optimised campuses, including a multi-gigawatt cluster at its New Albany site in Ohio. The company also plans to invest heavily in sustainable building practices and local community development, with some of the funds going toward renewable energy and water restoration projects.

The $600 billion figure is drawing attention because it far exceeds Meta’s past spending levels. The company reported annual revenue of $62.3 billion in 2024, meaning the new pledge is almost ten times its yearly income and more than double the total it has made since becoming a public company.

Meta’s capital expenditure for 2025 is expected to reach $72 billion, with Chief Financial Officer Susan Li saying it would rise further in 2026 as the company “invests aggressively” in AI infrastructure. This sharp increase means Meta will likely need external financial backing to reach its target.

Meta announced it will spend $600 billion in the United States by 2028 to expand its data centres and AI operations.
Rebecca Stone · Thehackingpost

One example of this approach is Meta’s partnership with Blue Owl Capital to fund its $27 billion Hyperion data centre in Louisiana. Under the agreement, Blue Owl owns 80% of the project while Meta leases the site for at least 16 years. Analysts believe similar arrangements may be used for other sites if the company wants to manage costs while expanding at scale.

The $600 billion target also dwarfs spending plans announced by OpenAI for its Stargate network of data centres. While Meta has not revealed detailed funding plans, it appears to be relying on joint ventures and long-term leasing models to spread costs over time.

How Are Communities Benefiting From Meta’s Projects?

According to Meta, these data centre developments are designed to strengthen the towns and cities that host them. The company works with utilities to fund energy grid upgrades, saying its investments have supported 15 gigawatts of new energy capacity across the country. It also claims to be paying for hundreds of millions of dollars in new or upgraded infrastructure linked to its sites.

Outside of construction, Meta said it is investing directly in local services and education. It has given $58 million in community action grants to schools, nonprofits, and civic organisations. These funds have supported STEM programmes for underrepresented students, veteran training in new technologies, and meal support for older citizens. The company also contributes to energy bill assistance schemes for low-income households.

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Meta’s goal is to become water positive by 2030, meaning it would restore more water to local ecosystems than it uses. It said its current facilities already operate at higher efficiency levels than the standard industry design and require less water to cool servers.

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Based on reporting by techround.co.uk.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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