Meta's AI spending plan spooks investors while rivals show returns
Meta's stock fell 7% in extended trading Wednesday after the company said it would spend up to $145 billion on artificial intelligence this year, up from a previous ceiling of $135 billion. The increase signaled that executives had underestimated how much computing power they needed to achieve their AI goals.
The four largest U.S. tech firms-Meta, Alphabet, Microsoft, and Amazon-reported earnings simultaneously. While Meta bore the brunt of investor concern, the other three companies saw their stocks rise as they demonstrated tangible business returns from their massive AI investments.
The four companies are spending more than $650 billion on AI in 2024 alone. Analysts say investors remain anxious about whether these outlays will eventually generate profits to justify the expense.
Meta's uncertain path forward
Meta's chief financial officer Susan Li said the company had "underestimated our compute needs" in previous years. Chief executive Mark Zuckerberg acknowledged the company lacked precision in its spending strategy.
"I don't think we have a very precise plan for exactly how each product is going to scale," Zuckerberg said on the earnings call. He added that Meta's Superintelligence Lab remained "on track to be a leading lab in the world."
Zuckerberg also hinted at significant job cuts ahead, saying AI tools now allow one or two people to build products in a week that previously took dozens of people months. Li declined to specify what the company's optimal workforce size would be.
Alphabet shows concrete results
Alphabet's stock jumped 7% after executives detailed how AI investments were driving measurable business growth. Google Cloud revenue grew 63%, a jump the company attributed directly to increased AI usage by its customers.
Chief executive Sundar Pichai said Alphabet had advantages over competitors because it owns both its AI models and the silicon chips that power them. "That really helps us stay ahead of the curve," he said.
The company plans to "significantly increase" AI spending next year. This year, Alphabet is spending $185 billion-more than double its 2025 spending. Profits rose 30% in the quarter.
Microsoft shows margins but faces cash flow pressure
Microsoft's stock fell nearly 2% initially but recovered slightly in after-hours trading. The company beat revenue expectations with a 16% increase to $83 billion, and profits rose 23% to $38 billion.
However, AI spending has dented the company's free cash flow-the amount of money available after capital expenses. Cash flow dropped almost $6 billion year-over-year to $15.8 billion for the quarter.
Microsoft said its AI business reached a $37 billion annual run rate, though the company did not disclose the base sales figure underlying that projection. Chief financial officer Amy Hood said margins in the AI business remain better than they were during Microsoft's earlier shift to cloud services in the early 2010s.
Microsoft's stock is down nearly 11% for the year as questions persist about its $10 billion partnership with OpenAI.
Amazon emphasizes partnerships and chip manufacturing
Amazon's stock rose 2.7% in extended trading despite the company lowering profit guidance for the next quarter. Year-over-year profits grew 15%, and its cloud business expanded 28%-the largest increase in more than four years.
Chief executive Andy Jassy highlighted Amazon's growing business manufacturing its own AI chips, which he said reached a $20 billion annual run rate. Amazon Web Services maintains partnerships with major AI providers including Anthropic and OpenAI.
"You can see it in our numbers, it's leading to very substantial AI growth," Jassy told analysts. He declined to detail Amazon's AI spending plans for the coming years but called AI "a once-in-a-lifetime opportunity where every application that we know of is going to be reinvented."
Amazon has laid off more than 30,000 workers in recent months.
Investor skepticism persists
Lee Sustar, an analyst at Forrester, said anxiety remains "about the sustainability of the AI boom" given the high costs and limited returns so far. Yet the companies continue to accelerate spending, betting that AI leadership will eventually justify the investment.
"With the potential payoff of AI leadership seemingly so high, the companies continue to make those bets, forcing investors and customers alike to assess how their interests are impacted," Sustar said.
For professionals in finance, IT, and development, these earnings reveal a critical inflection point: major tech firms are committing trillions to AI infrastructure with the assumption that applications will eventually materialize. AI for Finance professionals should monitor how these investments translate to business value, while those focused on technology infrastructure need to understand the Generative AI and LLM landscape these companies are building.
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