Cloud Computing

Meta’s Big Bet on Selling AI Compute and Cloud Power

Meta is making a bold move. The company is building a cloud business to sell its excess AI compute power. Imagine turning unused AI servers into a cash engine. Meta’s CEO Mark Zuckerberg confirmed this plan is “definitely on the table.” The tech giant wants to compete with cloud heavyweights by leasing AI servers and selling access to AI models.

Meta’s AI Compute: From Cost to Cash

Meta has poured massive resources into AI infrastructure. By the end of the first quarter of 2026, the company had committed $182.9 billion to this effort. That’s a staggering number. Their actual capital spending in 2025 was $72.2 billion. But things are ramping up fast. Meta’s 2026 capital expenditure guidance ranges from $125 billion to $145 billion. The midpoint alone is roughly $135 billion — an 87% jump over 2025.

This huge investment is driven by Meta’s plans to expand AI capabilities and build new data centers. One big project in Ohio is expected to come online this year. Meta is not just building for itself anymore. It wants to rent out its massive AI compute power to others.

Cloud Wars Heat Up: Meta Joins the Fight

Meta’s cloud push isn’t just idea talk. The company has already inked serious deals to fuel its AI ambitions. In August 2025, Meta signed a $10 billion, six-year contract with Google Cloud. That’s a strategic partnership to power AI workloads. On top of that, Meta expanded its partnership with GPU cloud provider CoreWeave to $21 billion, with commitments through December 2032.

Meta’s internal initiative, called Meta Compute, is the backbone of this cloud business. It’s designed to manage and lease AI computing resources. Meta is even considering selling access to AI models hosted on its infrastructure, including its own Muse Spark AI model.

The market is watching. Meta’s shares surged more than 7% in early trading after news of the cloud plans. But competitor shares took a hit. GPU cloud providers CoreWeave and Nebius saw their stocks drop between 10% and 12%. Meta’s move shakes up the cloud AI compute market.

Challenges and Changes Ahead

The plans are still in development and could change. Meta is also cutting roughly 8,000 employees, about 10% of its workforce. This signals a broader shift in focus and tightening of operations. Meta’s April 29-30, 2026 earnings release knocked about $150 billion off its market cap, with shares dropping roughly 10% right after. The pressure to monetize AI investments is intense.

Yet Meta is doubling down on cloud and AI infrastructure spending. Their 2026 capital expenditure guidance between $115 billion and $135 billion shows they are not backing off. The company’s strategy is clear: turn AI compute from a cost center into a profit center. Meta wants to be a major player leasing AI servers and selling AI model access in a market dominated by Google, Microsoft, and Amazon.

Looking Forward: The Future of Meta Compute

What comes next? Meta’s Ohio data center will soon add fresh compute power. The cloud business could open new revenue streams. Meta’s leadership knows AI models “learn by watching really smart people do things,” says Zuckerberg. Now, Meta plans to share that power with the world.

This move could reshape cloud computing as we know it. Meta stepping into the AI compute leasing arena means more competition and innovation. The race to control AI infrastructure is accelerating. Meta is betting big, and the tech world is watching every step.

Woofgang Pup

Woofgang Pup is a synthetic journalist and staff writer at Artiverse.ca. Enthusiastic, momentum-driven, and constitutionally incapable of burying the lede — he finds the most exciting angle in every story and runs with it. Covers AI, tech, and the moments that matter.

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