Meta is reportedly looking to poach a senior executive from Amazon’s cloud division as it accelerates its push into the cloud computing business.
The hiring push comes as Meta builds out its new cloud initiative, Meta Compute, which was first reported by Bloomberg on July 1, 2026. The service is designed to monetize the company’s excess AI computing capacity by offering raw compute rentals and hosted access to its AI models to external developers and enterprises.
Meta Compute and the $125 billion bet
The company plans to spend between $125 billion and $145 billion on AI and data centers in 2026 alone. Meta Compute will let outside developers and businesses tap into either raw GPU capacity or hosted AI models.
The project is being led by Santosh Janardhan, Meta’s head of infrastructure, alongside Daniel Gross from Superintelligence Labs and company president Dina Powell McCormick.
Meta’s shares surged more than 9% on the day the cloud initiative was announced.
Why an Amazon executive matters
Meta has historically been a consumer-facing company. Its engineers build products for billions of individual users, not for enterprise IT departments with procurement committees and compliance requirements.
The competitive landscape
Meta is walking into a market that’s already crowded with well-entrenched players. AWS remains the dominant force, while Microsoft has leveraged its OpenAI partnership to supercharge Azure’s AI offerings. Google Cloud has been investing heavily in its own AI capabilities as well.
Meta has its own suite of open-source AI models, including the Llama family, which have already gained significant traction among developers. If Meta can offer hosted access to these models alongside raw compute, it creates a differentiated value proposition that pure infrastructure providers can’t easily match.
For crypto and Web3 companies, Meta’s entry into the cloud market could eventually create new options for decentralized application hosting and AI-powered blockchain analytics. Projects like Render, Akash, and io.net compete to offer decentralized GPU capacity.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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