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Meta and Microsoft are increasing AI spending, causing Wall Street to worry about Amazon’s results


  • Meta and Microsoft increase capital spending on AI
  • Amazon’s AI spending is also likely to rise
  • Big Tech’s AI investments could pay off in the short term
  • Limitations in the supply of AI chips hinder the development of the infrastructure
Oct 31 (Reuters) – Big tech including Microsoft (MSFT.O)opens a new tab and Meta (META.O)opens a new tab They are rushing to increase spending to build out AI data centers to meet the massive demand, but Wall Street is hungry for a faster payout of the billions invested.
Microsoft and Meta both said Wednesday that their capital expenditures grew as a result of their AI investments. Alphabet (GOOGL.O)opens a new tabTuesday also reported that these expenses would remain high.
Amazon (AMZN.O)opens a new tabwhich will report results on Thursday is likely to repeat these predictions.

The extensive capital expenditures could threaten the fat margins at these companies, and the pressure on this metric is likely to deter investors.

Major tech stocks fell in after-hours trading on Wednesday, underscoring the challenges companies face as they try to balance ambitious AI activities with the need to reassure investors they are focused on short-term results.

Shares of Meta fell 2.9% in after-hours trading, and Microsoft’s share price fell 3.6%, despite both beating profit and revenue expectations for the July-September period. Amazon shares also fell.

“It’s expensive to use AI technology. Acquiring capacity is expensive,” said GlobalData analyst Beatriz Valle.

“It has become a competitive race among the big tech companies to build capacity. It will take time to see the results, to see widespread adoption of the technology.”

According to Visible Alpha, Microsoft’s capital expenditure for one quarter is now higher than its annual expenditure through fiscal year 2020. For Meta, a quarter of its expenditure is equivalent to what they spent in a year through 2017.

Artificial intelligence words are seen in this illustration taken on March 31, 2023. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rightsopens a new tab

Microsoft said capital spending rose 5.3% to $20 billion in the first fiscal quarter, and forecast higher spending on AI in the second quarter.

But growth at its core cloud business Azure is likely to slow, the company warned, blaming capacity constraints in its data centers.

“I think what investors are missing is that for every year that Microsoft overinvests – as they have done this year – they are squeezing margins by a full percentage point over the next six years,” said Gil Luria, head of technology research at DA. Davidson.

Meta, meanwhile, warned of a “significant acceleration” in spending on artificial intelligence infrastructure next year.

Bottlenecks hinder growth

Capacity constraints are rippling through the technology industry.

Chipmakers including powerhouse Nvidia (NVDA.O)opens a new tab are struggling to keep up, making it harder for cloud companies to build capacity.
Advanced Micro Devices (AMD.O)opens a new tabwhich reported results earlier this week, said demand for AI chips rose much faster than supply, limiting its ability to tap the order surge. It warned that supply of AI chips would be tight next year.

Despite the concerns, Meta and Microsoft said it was still very early in the AI ​​cycle and emphasized AI’s long-term potential.

The investments are reminiscent of the days when Big Tech developed cloud companies and waited for customers to embrace the technology.

“Building out the infrastructure may not be what investors want to hear in the near term, but I think the opportunity here is very good,” Meta CEO Mark Zuckerberg said on Wednesday’s earnings call. “We continue to invest heavily in this.”

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Reporting by Anna Tong in San Francisco, and Aditya Soni and Deborah Sophia in Bengaluru; Editing by Sayantani Ghosh and Sonali Paul

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Anna Tong is a correspondent for Reuters based in San Francisco, where she reports on the technology industry. She joined Reuters in 2023 after serving as a data editor at the San Francisco Standard. Tong previously worked at technology startups as a product manager and at Google, where she worked on user insights and helped run a call center. Tong graduated from Harvard University.



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