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Google Cloud Hits $20B as Alphabet Raises Capex; AWS Logs Fastest Growth in Three Years

Thu, Apr 30 ~4 min read ✓ Reviewed by Get AI Decoded Editorial Team
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Google Cloud crossed $20B and AWS posted its fastest growth in three years as Q1 2026 hyperscaler results confirm AI demand.


📊 Alphabet Q1 2026: Google Cloud Crosses $20B, Capex Raised to $190B as Sundar Pichai Says "Compute Constrained"

Decoded: Alphabet reported Q1 2026 revenue of $109.9 billion, beating Wall Street expectations of $107.2 billion and marking the company's fastest revenue growth since 2022 at 20% year-over-year. Google Cloud was the standout: $20.03 billion in revenue, well above the $18.05 billion consensus estimate, driven by enterprise AI adoption. "Our enterprise AI solutions have become our primary growth driver for cloud for the first time in Q1," CEO Sundar Pichai said on the earnings call. Gemini Enterprise paid monthly active users grew 40% quarter-over-quarter. Alphabet raised its 2026 capital expenditure guidance to $180–$190 billion, up from the prior $175–$185 billion range, and CFO Anat Ashkenazi said 2027 capex would "significantly increase." In a notable disclosure, Pichai said Google Cloud revenue would have been higher if compute capacity had kept pace with demand: "We are compute constrained in the near term." Alphabet's net income reached $62.58 billion, up 81% year-over-year. (CNBC, April 29, 2026)

Why it matters: Google Cloud at $20 billion in a single quarter signals a structural inflection — enterprise AI adoption, not Search advertising, drove the growth for the first time. The "compute constrained" disclosure confirms demand is outrunning Alphabet's ability to deploy infrastructure even at $35.7 billion in quarterly capital expenditure. A raised 2026 capex ceiling of $190 billion plus a 2027 "significantly increase" signal positions Alphabet as a sustained buyer of chips, data center power, and networking equipment through at least 2027. For Nvidia (NVDA), a top GPU customer confirming demand is running ahead of supply is a direct forward-order signal. Gemini Enterprise's 40% quarterly paid MAU growth is also the first publicly quantified metric showing Alphabet's AI products are converting to paying enterprise contracts at scale.


📈 AWS Q1 2026: $37.6B Revenue, +28% Year-Over-Year — Fastest Cloud Growth in More Than Three Years

Decoded: Amazon Web Services posted Q1 2026 revenue of $37.59 billion, a 28% year-over-year increase — beating Wall Street estimates of 26% growth and representing AWS's fastest revenue expansion in more than three years. AWS now accounts for more than one-fifth of Amazon's total company revenue. Amazon's Q1 net income reached $26.77 billion with adjusted earnings per share of $10.44, exceeding analyst estimates. Amazon had committed to capital expenditure exceeding $100 billion for 2026; the Q1 beat validates that AI demand is translating into sustained cloud revenue growth at a scale that justifies that investment. Separately, Meta raised its full-year 2026 capex guidance to $125–$145 billion, up from its prior range of $115–$135 billion, and reported advertising revenue growth of 33% year-over-year — its fastest expansion in years. (CNBC, Reuters, April 29, 2026)

Why it matters: AWS growing at 28% is its fastest expansion since before the 2022 cloud spending slowdown — at an annualized revenue base approaching $150 billion. Sustaining 28% growth at that scale means AWS is adding the equivalent of a large-cap SaaS company's annual revenue in a single quarter. The outperformance against the 26% consensus narrows the gap to Google Cloud in percentage terms while still leading in absolute revenue. Combined with Alphabet's compute-constrained disclosure and Meta's $145 billion capex ceiling, the Q1 results confirm that AI infrastructure demand is running ahead of deployment capacity across all three hyperscalers — a sustained demand signal for semiconductor, data center, and power infrastructure investors that feeds directly back into Nvidia, SK Hynix, and energy grid operators.


Stay decoded. See you tomorrow.

— The Get AI Decoded Team