Google's Cloud Revenue Converges to NVIDIA's Growth Rate

2026-07-22 · Source: Tomasz Tunguz · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Google Cloud reported an 82% year-over-year revenue growth to \$24.8 billion in Q2 2026, surpassing the \$22.3 billion consensus. This significant acceleration means Google Cloud's growth rate now closely mirrors NVIDIA's Data Center segment, driven by the shared demand for AI model training and inference. While Google began recognizing small revenues from TPU system sales in Q2, CFO Anat Ashkenazi clarified that these were not the primary driver of the accelerated cloud growth. The company's backlog surged 385% year-over-year to \$514 billion, with over half converting within 24 months. Furthermore, Google Cloud's operating income more than tripled to \$8.8 billion, expanding its operating margin from 20.7% to 35.6%, significantly narrowing the gap with AWS. Google also raised its full-year 2026 capital expenditure guidance to \$195 billion-\$205 billion, projecting further increases in 2027, reflecting strong ROI on AI infrastructure investments.

Key takeaway

For investors evaluating cloud and AI infrastructure plays, Google Cloud's Q2 2026 results underscore the immense, profitable demand for AI compute. Your investment decisions should recognize that hyperscaler growth rates, now mirroring chip vendors like NVIDIA, indicate sustained capital expenditure and strong ROI. Consider increasing exposure to companies demonstrating significant backlog expansion and improving operating margins in this sector.

Key insights

Google Cloud's rapid revenue and margin growth now aligns with NVIDIA's, signaling robust AI infrastructure demand.

Principles

• AI compute demand drives hyperscaler and chip vendor growth.
• Economies of scale significantly boost cloud operating margins.
• Large backlogs indicate sustained, long-term demand.

In practice

• Invest in AI infrastructure to capitalize on market demand.
• Monitor cloud provider backlog growth as a market indicator.
• Analyze cloud operating margins for efficiency gains.

Topics

• Google Cloud
• NVIDIA Data Center
• AI Infrastructure
• Cloud Revenue Growth
• Capital Expenditure
• Operating Margins

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 Tomasz Tunguz.