Microsoft might be the biggest winner of Google x SpaceX deal

· Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Google will pay SpaceX \$920 million per month for AI computing capacity, totaling an estimated \$30 billion over 32 months. This deal, disclosed in a June 5 regulatory filing, grants Google access to approximately 110,000 Nvidia GPUs in SpaceX data centers starting October 2026, with a ramp-up phase until September 2026. BNP Paribas analyst Stefan Slowinski suggests this agreement highlights significant demand for AI infrastructure, positioning Microsoft's Azure cloud business as a major beneficiary. SpaceX also holds a separate \$1.25 billion per month contract with Anthropic, boosting its total annual AI computing revenue to about \$26 billion. Slowinski maintains a Buy rating on Microsoft with a \$555 price target, anticipating Azure's growth rate could reach the mid-40s percent range, up from 40% year-over-year in the March quarter, driven by increasing AI infrastructure capacity and positive feedback from Microsoft Copilot users. He notes potential price increases for Azure due to rising memory and CPU costs.

Key takeaway

For investors evaluating cloud sector opportunities, the Google-SpaceX deal underscores intense AI infrastructure demand, suggesting Microsoft Azure's growth trajectory is robust. You should consider Azure's potential for sustained mid-40s percent revenue growth, driven by increasing AI capacity and strong commercial performance. Be aware of potential price increases for AI-related cloud contracts due to rising component costs, which could impact future margins.

Key insights

Surging AI infrastructure demand, exemplified by Google-SpaceX and Anthropic-SpaceX deals, signals strong growth for cloud providers like Microsoft Azure.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Executive, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.