Sunday, November 2, 2025

The AI Race Has Big Tech Spending $344 Billion This Year

(Bloomberg) — If there’s any lesson to take from the spending plans issued by the world’s largest technology companies over the past two weeks, it’s to never underestimate the fear of missing out.

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Microsoft Corp., which set a $24.2 billion capital spending record last quarter, plans to drop upwards of $30 billion in the current period. Amazon.com Inc. similarly spent $31.4 billion last quarter, almost double what it dropped a year ago, and is maintaining that level of investment. Google owner Alphabet Inc. raised its capital expenditures guidance this year to $85 billion.

Then there’s Meta Platforms Inc.: The social networking giant lifted the low end of its forecast for 2025 capital expenditures and projected that costs will continue to grow at an even faster pace next year. Altogether, the four companies are expected to spend more than $344 billion for the year, with much of it going to the data centers necessary to run AI models.

“We’ve basically tripled capex investment in cloud due to AI,” Bloomberg Intelligence analyst Mandeep Singh said.

The emphasis from virtually every company executive during this earnings season was on investing as quickly as possible to get ahead. “We need the teams to execute at their very best to get the capacity in place as quickly and effectively as they can,” Microsoft Chief Financial Officer Amy Hood told analysts in a call Wednesday. Susan Li, Meta’s CFO, said the goal of its own spend is to secure the advantage “in developing the best AI models.”

Wall Street’s response has been mixed.

Meta was rewarded — in large part because the company posted a strong second-quarter sales beat and issued a rosy revenue forecast, signaling that the billions it’s spending on AI are paying off. “On advertising, the strong performance this quarter is largely thanks to AI unlocking greater efficiency and gains across our ad system,” Chief Executive Officer Mark Zuckerberg said on an analyst call.

Zuckerberg has plans to build several massive data centers and has been luring top AI researchers with compensation packages valued at hundreds of millions of dollars. The company recently restructured its internal AI division, now referred to as Meta Superintelligence Labs, in an effort to build human-level AI capabilities and apply that technology across its products.

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