Meta Platforms has announced plans to invest US$600 billion in the next three years to expand its US artificial intelligence (AI) and data center infrastructure. It marks one of the largest capital commitments ever made by a US technology company.
The initiative will accelerate construction of hyperscale data centers designed to power Meta’s next generation of AI systems, virtual platforms, and immersive technologies. The company is “front-loading compute capacity to prepare for the most optimistic cases in AI development,” according to CEO Mark Zuckerberg.
Investment in data centers and information processing technology played a major role in US GDP growth in the first half of 2025, according to a Harvard economist. Meanwhile, demand in the global data center market is forecast to grow substantially in the next half-decade or so, according to Goldman Sachs Research.
Meta’s AI data center expansion
Meta’s latest initiative highlights how the competition to secure computing power and data infrastructure has become essential to leading in AI. The company’s plan calls for billions in new facilities across multiple US states, including a $27 billion financing deal with Blue Owl Capital for a Louisiana site and a $1.5 billion data center investment in Texas.
“AI is reshaping the world’s digital infrastructure, and Meta’s unprecedented investment positions the US at the forefront of that transformation,” said a company spokesperson.
Meta emphasized that its new facilities will be built with sustainability in mind, integrating renewable-energy partnerships and advanced cooling technologies to reduce environmental impact.
A number of tech giants are pouring billions of dollars into building and upgrading data centers in response to the increasing demand for AI and large language models (LLMs) that require massive computing resources.
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A new age for data centers
Data centers from the pre-AI era are generally ill-equipped for the demands of modern AI workloads. A recent study by global data center consultancy BCS found that most data center facilities aren’t ready for AI-heavy workloads with the sector set for radical transformation.
In a survey of over 3,000 data center professionals across 41 countries, 85 percent of respondents admitted that their facilities are not yet prepared for the demands of AI-heavy workloads, with just one in seven organizations using AI at scale.
To address this lack of readiness, many of those polled (79 percent) are increasing their infrastructure to facilitate AI readiness, while 63 percent believe AI could ease pressure on staffing and operations.
“We’re entering a pivotal moment for the data center industry. As AI moves from buzzword to backbone, it’s reshaping not just what we build, but where, how and why we build it,” said James Hart, CEO at BCS.
“The infrastructure that powered the last decade of digital growth isn’t enough for what comes next. From compute-heavy model training to real-time inference at the edge, new demands are emerging that call for fresh thinking, faster decisions and more flexible, sustainable solutions.”