AI Data Center Spending Rushes Toward $800 Billion

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By Douglas A. McIntyre Published

Quick Read

  • Risk Of Overspending Grows

  • Race For AI Leadership Gets Faster

  • Financial Companies Start To Invest

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AI Data Center Spending Rushes Toward $800 Billion

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As Microsoft (NASDAQ: MSFT | MSFT Price Prediction), Meta, Alphabet, and Amazon (NASDAQ: AMZN) announced earnings, they reiterated the amounts they would spend on AI data centers, and some said they were committed to continued growth. A rise in memory chip costs will increase Microsoft’s spending to $190 billion, the company said on its earnings call. That figure would be 61% higher than it was in 2025. Meta put its figure at $145 billion at the top end of its spending estimate. The figure from just two makes the point. All in, the spending across the four companies is about half the entire US defense budget proposed for next year.

The figures from the four companies should be added to OpenAI, Anthropic, xAI, and a number of smaller price firms. And the group intends to do this amid higher chip prices, driven by both demand and an upcoming shortage of chips due to materials needed to make them, resulting from the Strait of Hormuz standoff.

The fact that the large corporate AI buildout is too expensive for the largest players to afford means that financial companies have started to put money on the table as they plan to make more back in a new industry.

The situation is so wild that Kevin O’Leary, a star of the “Shark Tank” TV show, is part of a group planning to build a 40,000-acre data-center facility in Utah. According to The Wall Street Journal, “That size would be equal to more than 20% of all data-center capacity currently operating in the U.S., according to data from real-estate firm Cushman & Wakefield.”

The worry from Wall St., which has not shown up in the stock prices of the megatech public companies, is that they have overspent. And that is the heart of the question. Will the overspending hit the wall of a lack of electricity or water? Will local officials block data center construction? Will the use of AI flatten in terms of either consumer demand or the needs of enterprise customers?

Any real roadblock to AI use will send the stocks of the megatech companies spinning down. Based on recent stock movements, investors don’t believe that it is a risk.

Photo of Douglas A. McIntyre
About the Author Douglas A. McIntyre →

Douglas A. McIntyre is the co-founder, chief executive officer and editor in chief of 24/7 Wall St. and 24/7 Tempo. He has held these jobs since 2006.

McIntyre has written thousands of articles for 24/7 Wall St. He is an expert on corporate finance, the automotive industry, media companies and international finance. He has edited articles on national demographics, sports, personal income and travel.

His work has been quoted or mentioned in The New York Times, The Wall Street Journal, Los Angeles Times, The Washington Post, NBC News, Time, The New Yorker, HuffPost USA Today, Business Insider, Yahoo, AOL, MarketWatch, The Atlantic, Bloomberg, New York Post, Chicago Tribune, Forbes, The Guardian and many other major publications. McIntyre has been a guest on CNBC, the BBC and television and radio stations across the country.

A magna cum laude graduate of Harvard College, McIntyre also was president of The Harvard Advocate. Founded in 1866, the Advocate is the oldest college publication in the United States.

TheStreet.com, Comps.com and Edgar Online are some of the public companies for which McIntyre served on the board of directors. He was a Vicinity Corporation board member when the company was sold to Microsoft in 2002. He served on the audit committees of some of these companies.

McIntyre has been the CEO of FutureSource, a provider of trading terminals and news to commodities and futures traders. He was president of Switchboard, the online phone directory company. He served as chairman and CEO of On2 Technologies, the video compression company that provided video compression software for Adobe’s Flash. Google bought On2 in 2009.

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