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BackMicrosoft and Alphabet Crush Q1 Earnings as AI Trade Accelerates
Microsoft and Alphabet Crush Q1 Earnings as AI Trade Accelerates
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Decrypt29.04.2026Business2 dk okuma

Microsoft and Alphabet Crush Q1 Earnings as AI Trade Accelerates

Google Cloud hits $20B, Microsoft AI hits $37B run rate as OpenAI struggles with revenue shortfalls

En resumen

  • Microsoft and Alphabet both reported stronger-than-expected Q1 2026 earnings, with Alphabet posting $109.9B revenue and Google Cloud reaching $20.03B (up 63% YoY), while Microsoft's AI business hit a $37B annual run rate.
  • The results contrast sharply with OpenAI's revenue struggles, as Big Tech continues to dominate the enterprise AI market.

Resumen generado por IA

Por qué importa

The article contrasts the strong Q1 2026 earnings from Microsoft and Alphabet with OpenAI's recent struggles, showing how Big Tech companies are monetizing enterprise AI while OpenAI faces revenue challenges despite high ambitions.

Tamaño de fuente

Wednesday was a bad day to be an AI doomer. Microsoft and Alphabet, Google's parent company, both reported earnings after the bell, and both crushed expectations—on the same day OpenAI's revenue stumbles were still reverberating through the market. The message from the two biggest players in enterprise cloud was hard to miss: The AI trade isn't slowing down. If anything, it's accelerating. Alphabet posted $109.9 billion in Q1 2026 revenue, up 22% from a year ago and the company's fastest growth rate since 2022. Wall Street was expecting around $107.1 billion. The headline number is Google Cloud, which brought in $20.03 billion—up 63% year-over-year from $12.26 billion in Q1 2025, and nearly $1.6 billion above analyst estimates. CEO Sundar Pichai said enterprise AI solutions had become "our primary growth driver for cloud for the first time in Q1." Microsoft wasn't far behind. The company reported $82.9 billion in revenue for its fiscal Q3 2026, up 18% year-over-year, beating the $81.39 billion estimates. The real number that turned heads: Its AI business surpassed an annual revenue run rate of $37 billion, up 123% from the prior year. Azure and other cloud services grew 40% year-over-year. Microsoft Cloud overall hit $54.5 billion, up 29%. All of this thanks to the magic of the AI boom. Copilot, Microsoft's AI assistant for enterprise, now exceeds 20 million paid users—up from 15 million just last quarter. CEO Satya Nadella called it the "agentic computing era," which is the kind of phrase you say when your numbers back it up. Gemini is pulling its weight across the board. Earlier this year, Apple signed a multi-year deal to build its next generation of Foundation Models on Google's Gemini, handing the search giant one of the biggest AI endorsements of 2026. Paid monthly active users of Gemini Enterprise grew 40% quarter-over-quarter. Google's Cloud backlog hit $460 billion—nearly double the prior quarter. All of this lands against the backdrop of OpenAI's bad week. The company missed its own internal targets for both revenue and user growth, with CFO Sarah Friar reportedly telling company leaders she was worried OpenAI might not be able to fund future compute contracts if revenue doesn't pick up fast enough. The market response was swift. CNBC reports that Oracle dropped around 4%, CoreWeave sank more than 5%, and SoftBank—one of OpenAI's largest investors—fell roughly 10% during Tokyo trading hours. Nvidia and AMD also slid. The contrast is hard to ignore. While OpenAI is leaning on investors to absorb the gap between ambition and revenue, Google and Microsoft are printing cash from the same AI wave. Gemini 3 Pro, released in November 2025, outpaced its predecessor on every benchmark Google tested, and is now driving commercial demand across the Cloud stack. On the advertising side, Google's total ad revenue came in at $77.25 billion, up 15.5% year-over-year, beating estimates in that field too. YouTube was the one soft spot at $9.88 billion versus the $9.99 billion forecast—a minor miss in an otherwise clean sweep. Alphabet guided 2026 capital expenditures at $175 billion to $185 billion, up from $91.4 billion in 2025. The $460 billion Cloud backlog may suggest the company expects those bets to keep converting into revenue well into 2027.

Preguntas abiertas

  • How will OpenAI address its funding gap?
  • Will the AI infrastructure investment pay off long-term?
  • What is the competitive landscape for enterprise AI?

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This article was originally published by Decrypt.

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