Meta, Google’s parent company Alphabet, and Microsoft have given investors a clear message: the race to build AI infrastructure is not slowing down. In their quarterly earnings updates on Wednesday, all three companies pointed to bigger spending plans, stronger revenue, and a belief that demand for artificial intelligence will keep expanding.
The numbers show how quickly AI has moved from a product strategy to a capital spending strategy. Data centers, chips, cloud capacity, and software efficiency are now central to how the largest technology companies explain their growth plans.
Meta Raises Its Spending Range
Meta said its capital expenditure would total between $70 billion and $72 billion this year. That is higher than the lower end of its previous forecast, which had been $66 billion to $72 billion.
The company also signaled that the increase is not a one-year move. Meta chief financial officer Susan Li said she expected spending to be “notably larger” next year.
Meta’s investment is arriving alongside strong revenue growth. The company reported $51.24 billion in revenue last quarter, up 26 percent year over year.
CEO Mark Zuckerberg framed the spending as preparation for both current AI demand and possible breakthroughs. On a conference call with analysts, he said, “There’s a range of timelines for when people think that we’re going to get superintelligence.” He added, “I think that it’s the right strategy to aggressively front-load building capacity, so that way we’re prepared for the most optimistic cases.”
Meta has also been reshaping its AI organization. In recent months, it has recruited AI talent with compensation packages worth hundreds of millions of dollars for some researchers. It also cut some 600 jobs last week, saying the move was intended to make its AI teams more efficient. The company has reorganized its AI teams numerous times over the past eight months.
Meta told investors that AI investments are already helping the business, though it did not provide many specifics. It said AI was benefiting both its ad business and virtual reality product lines, and predicted those divisions could reach new heights in the future.
Alphabet Pushes Its 2025 Forecast Higher
Alphabet also lifted expectations for capital spending. The company said it expects 2025 capital expenditures to be between $91 billion and $93 billion. Earlier this year, Alphabet had estimated that figure would be just $75 billion.
As with Meta, Alphabet paired higher spending with higher revenue. The company reported record revenue of $102.3 billion in the third quarter, up 33 percent from a year ago.
Most of Alphabet’s spending will likely go into data centers and other artificial intelligence initiatives. That focus reflects how important cloud infrastructure and AI products have become to the company’s growth story.
Google said its cloud business earned $15.15 billion in the third quarter, a 35 percent increase from the same period in 2024. Gemini, Google’s general purpose AI app, now has 650 million monthly active users, up from 450 million last quarter.
The source article also notes a comparison from OpenAI CEO Sam Altman, who recently said ChatGPT has 800 million weekly users. The comparison underlines the scale at which major AI apps are now being discussed by the companies building and competing around them.
Microsoft Spends More Than Forecast
Microsoft reported revenue of $77 billion for the quarter ending on September 30, up 18 percent from a year ago. Its cloud business revenue rose 26 percent year over year.
The company’s capital expenditures were $34.9 billion for the quarter, with much of the investment going toward AI infrastructure. That total was nearly $5 billion more than previously forecasted and represented a 74 percent jump from the same quarter a year ago.
Microsoft did not provide a specific forecast for AI capital expenditures for the next quarter or the coming year. However, chief financial officer Amy Hood said total spending will “increase sequentially, and we now expect the fiscal year 2026 growth rate to be higher than fiscal year 2025.”
Microsoft’s AI strategy remains tied to OpenAI. The company has committed to putting a total of $13 billion in OpenAI and continues to use the company’s frontier AI models. At the same time, Microsoft took a $3.1 billion hit in net income this quarter because of losses from that investment.
Microsoft said the ongoing nature of the OpenAI partnership will create increased volatility. Hood said that, going forward, the company will exclude any impacts from its OpenAI investment in its financial outlooks.
The Bubble Question Is Still Open
The spending plans from Meta, Alphabet, and Microsoft are built on a shared assumption: demand for AI will continue to grow. But some analysts are raising concerns that the AI market is a bubble and could eventually burst.
Those concerns are being fed by announcements about large, multi-year data center projects and staggered investments. Last month, Nvidia said it would invest “up to $100 billion” in OpenAI, provided that OpenAI builds and deploys at least 10 gigawatts of AI data centers using Nvidia’s chips. OpenAI, meanwhile, said just yesterday that it was planning to develop 30 gigawatts of computing resources worth $1.4 trillion.
Microsoft CEO Satya Nadella told analysts there are two “critical” things to consider about the company’s capital expenditures. First, Microsoft is trying to make its fleet of data centers “fungible,” meaning they can be modified to meet changing customer demands. Second, the company expects to keep modernizing its infrastructure.
Nadella described that approach this way: “It’s not like we buy one version of Nvidia and load up for all the gigawatts we have. Each year, you buy, you ride Moore’s law, you continually modernize and depreciate it, and you use software to grow efficiency.”
Mark Moerdler, a senior research analyst covering global software at Bernstein, said Microsoft is “building capacity in tranches over time and can shift resources, which gives them a lot of protection.” But he also left the larger question unresolved: “Is there an overall AI bubble? It’s possible, and that they did not answer.”
For now, the largest technology companies are choosing capacity. Their earnings reports show that AI infrastructure spending is being treated as a foundation for future growth, even as investors and analysts continue to ask how much demand will ultimately justify the scale of the buildout.