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Big Tech plans $720B in AI infrastructure spending this year

Four major tech firms—Amazon, Microsoft, Alphabet, and Meta—reported record capital expenditure plans during recent earnings calls. They collectively aim to spend at least $720 billion on AI infrastructure this year, on top of $1 trillion in future commitments. Despite surging revenue in areas like Amazon’s fastest growth in five years and Meta’s booming ad revenue, none have yet turned AI…

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Key points

  • Amazon, Microsoft, Alphabet, and Meta plan **$720B** in AI infrastructure spending this year, plus **$1T** in future commitments
  • Alphabet’s Search ad revenue grew **12%** (vs. **17%** last year) as AI features like AI Mode cut monetization
  • Anthropic’s Q3 revenue hit **$17B**, but compute costs reached **$17.5B**, with **$900B** in future data center pledges

Wall Street reacted sharply to the spending announcements, triggering a selloff in tech stocks. Alphabet’s stock dropped 13% in a single day after its chief business officer acknowledged that AI-driven search features like AI Mode are reducing monetization in core Search ads, which grew only 12%—down from 17% year-over-year. Executives, including Alphabet’s CFO Anat Ashkenazi and Amazon’s CEO Andy Jassy, signaled further increases in 2027, framing the investments as critical for long-term growth. Meta’s CEO Mark Zuckerberg noted that its AI agent program, Muse, may only become profitable if compute costs drop tenfold next year, requiring heavy spending. Meanwhile, Anthropic’s third-quarter revenue surged to $17 billion, but compute costs hit $17.5 billion, leaving it with a net loss. The startup also committed nearly $900 billion to future data center builds, including purchases of Google’s TPU chips.

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Full story from The Verge AI · by Ellen ThomasOpen source ↗

Big Tech’s big AI buildout will not end until someone stops it

The Verge AI · 5 November 2026

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This text was published by The Verge AI and written by Ellen Thomas. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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