Meta to boost AI data center capex above $60 billion in 2026

Meta Platforms Inc. is massively increasing its capital expenditures on AI-optimized data centers, with spending plans now expected to surpass $60 billion in 2026 as it races to build out infrastructure for next-generation artificial intelligence.

"We expect the tone around capex accordingly to swing back toward the optimism that prevailed throughout last year," JPMorgan analyst Dubravko Lakos-Bujas said in a recent report. "Some companies now facing the prospect of having to spend even more, particularly on securing their systems."

The social media giant’s aggressive spending is part of a broader industry trend that has seen hyperscale providers including Google, Amazon, and Microsoft collectively budget over $645 billion for 2026, a 56% increase, according to figures from JPMorgan. This surge in investment follows a brief period of investor concern over the pace of AI buildouts. Meta is also expanding its physical footprint with a new data center project in Tulsa, Oklahoma, and forging key partnerships with specialized cloud providers like CoreWeave and Nebius to diversify its infrastructure beyond traditional suppliers. For instance, Meta's expanded deal with Nebius is for at least $12 billion in AI data center capacity by 2027.

This capital-intensive strategy is designed to secure the vast computational power required for training and deploying advanced AI models, a move critical to Meta's long-term competitive positioning. The investment aims to reduce reliance on any single hardware provider, like Nvidia, and create new revenue opportunities beyond its core advertising business, potentially boosting long-term investor confidence.

Data Center Spending Soars

The push for AI dominance is fueling an unprecedented boom in data center construction. Worldwide IT spending is forecast to grow 13.5% in 2026 to total $6.31 trillion, with the data center systems segment seeing the largest growth at 55.8%, according to Gartner. This growth is largely driven by the intense computational demands of AI workloads.

"As AI workloads scale, data center investment is ramping rapidly, which in turn is driving increased demand for high-performance compute," said John-David Lovelock, Distinguished VP Analyst at Gartner. "This dynamic is creating meaningful growth opportunities for companies delivering AI-optimized processors, accelerators, and enabling technologies."

The Investment Angle

For investors, Meta's spending spree has several implications. It solidifies the company's commitment to being a leader in the AI era, potentially unlocking new monetization streams in the long run. However, the enormous upfront cost, which contributes to a potential 20% equity dilution from performance-based warrants issued to partners like OpenAI, could pressure margins in the short term. AMD, for example, has issued 320 million such warrants to Meta and OpenAI.

The strategy also directly impacts the semiconductor industry. While Nvidia remains the dominant force, Meta's partnerships with CoreWeave and Nebius, and its work with other chipmakers like AMD, signal a clear intent to foster a multi-vendor ecosystem. This could moderate Nvidia's pricing power over time and create openings for competitors.

This article is for informational purposes only and does not constitute investment advice.