惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Proofpoint News Feed
U
Unit 42
V
Visual Studio Blog
D
DataBreaches.Net
F
Fortinet All Blogs
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
The GitHub Blog
The GitHub Blog
Y
Y Combinator Blog
月光博客
月光博客
大猫的无限游戏
大猫的无限游戏
T
The Blog of Author Tim Ferriss
GbyAI
GbyAI
博客园 - 叶小钗
Blog — PlanetScale
Blog — PlanetScale
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
MongoDB | Blog
MongoDB | Blog
The Cloudflare Blog
云风的 BLOG
云风的 BLOG
D
Docker
G
Google Developers Blog
罗磊的独立博客
博客园 - 三生石上(FineUI控件)
小众软件
小众软件
S
SegmentFault 最新的问题

Fortune | FORTUNE

One man can kill Bill Ackman’s $64 billion bid for Universal Music Group—and no one knows what he’ll do | Fortune Poppi’s cofounder pitched her startup on Shark Tank while 9 months pregnant and landed a $400,000 deal—now it's worth $2 billion | Fortune Teen boys are choosing AI girlfriends over real ones for 'maximum control, zero rejection'—experts say it could make them unemployable | Fortune A United American merger is by no means impossible given the president 'loves big deals' | Fortune Reed Hastings’s planned exit from $455 billion Netflix ‘had nothing to do with’ the failed deal for Warner Bros., says Ted Sarandos | Fortune Meet Joe McCann: The high-flying crypto trader held in Tanzania after sudden death of his influencer fiancée Ashly Robinson | Fortune Gen Z is carving a different path in the housing market by doing it alone | Fortune U.S. Catholic leaders criticize Trump for ‘disparaging words’ about the pope as Vatican clash risks alienating Catholic voters | Fortune China has ‘nearly erased’ America’s lead in AI—and the flow of tech experts moving to the U.S. is slowing to a trickle, Stanford report says | Fortune Self-made millionaire behind $5 billion Skims Emma Grede says it all began with a cold call to Kris Jenner: Emma Grede—the self-made millionaire behind the $5 billion Skims empire—says it all began with an audacious cold call to Kris Jenner: ‘The difference between me and someone else is, I made it happen’ | Fortune Americans have never been this gloomy about the economy. Wall Street has never cashed in harder | Fortune ‘The college grading system [is] almost meaningless’: People see the Ivy League as an easy A and with flawed admissions standards | Fortune The CEO of $8.5 billion Japanese car giant Nissan plays the drums in a band and hits the tennis courts to destress from the top job | Fortune New York governor's take on a millionaires tax: fancy pied-à-terre second apartments worth over $5 million | Fortune Pope Leo XIV: A ‘handful of tyrants’ are ravaging earth with war and exploitation | Fortune Trump has no plan to cut the $39 trillion national debt, but he does want to cut childcare. His budget director is scrambling to clarify | Fortune China's economy grows 5% in first quarter, surprising economists to the upside | Fortune Everyone was wondering what Trump wanted more: Warsh smoothly seated at the Fed, or for Powell to pay. We have our answer | Fortune Palantir exec: the biggest mistake retailers are making with AI? Trying to do it all with one agent | Fortune American YouTuber who calls himself a 'troll' sentenced to 6 months in Korean prison for literally dancing on wartime graves | Fortune BBC plans to cut up to 2,000 jobs to save 10% of annual budget | Fortune Canva debuts a new suite of agentic tools, as the design app quietly becomes one of the world’s most used AI services | Fortune Moody's CEO: AI has a trust problem – better models won’t fix it | Fortune Top New York surgeon: Americans have better data for choosing restaurants than surgeons. That has to change | Fortune The Iran war’s fertilizer shock is hammering American farmers, and 70% can’t afford what they need for this year’s growing season | Fortune Education experts to Mamdani: Why are you foisting AI on our kids? | Fortune This CEO pirated video games as a teen and became a hacker for the Air Force. Now he’s built a $3 billion cyber firm | Fortune Teacher, blame thyself: Yale report savages Ivy League schools for destroying American trust in higher education | Fortune Fed chair nominee Kevin Warsh is worth more than $100 million and has stakes in SpaceX and Polymarket | Fortune From wool sneakers to GPUs: Allbirds’ desperate AI pivot and 600% stock surge, explained | Fortune
Meta is spending up to $145 billion this year on AI. When...
Amanda Gerut · 2026-04-30 · via Fortune | FORTUNE

Meta Platforms is splashing some serious cash on AI infrastructure, and investors have flinched. 

The company reported first quarter 2026 earnings results on Wednesday and raised its full-year 2026 capital expenditure guidance to $125 billion to $145 billion, up from a previous range of $115 billion to $135 billion. Meta told investors the boost was the result of higher prices for components and “additional data center costs to support future-year capacity.” 

Last year, Meta spent $72.2 billion on capex, up roughly $30 billion from the year before. The company is now guiding to nearly double what it spent in 2025, and more than it spent in 2025 and 2024 combined.

In after-hours trading, the stock tumbled more than 6% as a result of the jump in capex guidance. In contrast, Alphabet and Amazon—which are also spending enormous sums on AI infrastructure buildout, and which both announced earnings on Wednesday—saw their share prices rise after hours, in part because they both reported AI-related growth in their massive cloud-services businesses.

Zuckerberg pointed to “memory pricing” as a driver of the higher costs and he attempted to soothe investors by explaining how he expects the spending plan to pan out.  

“Every sign that we’re seeing in our own work and across the industry gives us confidence in this investment,” said Zuckerberg. “That said, we are very focused on increasing the efficiency of our investments, and as part of that, we are rolling out more than one gigawatt of our own custom silicon that we’re developing with Broadcom as well as significant amount of AMD chips to complement the new Nvidia systems we’re rolling out as well.”

Zuckerberg was asked during the call to explain any signposts or key factors he is watching to ensure Meta is “on the right path” to generating a healthy return on the investment over the next 12 to 24 months in Meta AI, new advancements or to its core algorithm.

“That’s a very technical question,” Zuckerberg responded. “The things that we’re watching are to make sure that we’re on track to building leading models and leading products. The formula for our company has always been to build experiences that can get to billions of people and focus on monetizing them once you get to scale.”

He added that he doesn’t think Meta has “a very precise plan for exactly how each product is going to scale month over month, or anything like that, but I think we have a sense of the shape of where these things need to be.”

“I’m quite comfortable that the lab we’re building is on track to be a leading lab in the world,” said Zuckerberg. 

Revenue and profit climb sharply

Meta reported Q1 revenues of $56.3 billion, up 33% from the same period a year ago. Operating income rose 30% to $22.9 billion, and profits grew 61% to $26.8 billion. The company noted that profits got a boost from an $8 billion tax benefit in the first quarter, which helped offset a $15.9 billion tax charge in the third quarter of 2025 when the One Big Beautiful Bill Act took effect. 

Total expenses in the first quarter ballooned 35% to $33.4 billion, driven mostly by infrastructure costs and employee compensation, said chief financial officer Susan Li. Meta doled out a series of stock option grants to Li and other executives targeting a $9.46 trillion market capitalization, a feat no company has ever achieved. 

“The growth in infrastructure costs was due to higher depreciation data center operating costs and third-party cloud spend,” said Li. “The growth in employee compensation was driven by technical hires we’ve added over the past year, particularly AI talent.”

Li also noted the company shared internally that it would “reduce the size” of Meta’s employee base in May. The company reportedly plans to slash hundreds of jobs in the U.S. and abroad among teams including sales, recruiting, and on its hardware unit. 

Meta, like other major tech firms, has been pouring money into data centers and servers to train its AI models, which it views as essential to its core advertising business and longer-term investments in personal AI agents for business, health, and entrepreneurship. Zuckerberg has said the investments will strengthen the ad business by making recommendations more relevant and improving the way ads are targeted to increase the time consumers spend on its platforms including Instagram, WhatsApp, and Facebook. 

On the earnings call, Zuckerberg said its new AI models will help the company evolve beyond looking at statistical patterns showing the types of people engaging with content.

“For the first time in Meta’s history, we’re going to be able to develop a first-principles understanding of what you care about and what each piece of content in our system is about,” he said. “So that way, we can show you more useful things for what you’re trying to accomplish and we’ll also be able to create personalized content specifically for people to help you achieve your goals as well.”

Melissa Otto, head of Visible Alpha Research at S&P Global, said the downturn in the stock price after hours was a clear reaction to the increase in capex guidance. It was already “pretty high” said Otto, and the company had a good quarter, “but it wasn’t a blowout.”

“It raises this question about what is the real ROI on all this capex that they’re spending,” said Otto. “I think the investment community is getting a little frustrated at the amount of cash they’re burning.”

Otto said investors are on the lookout for information about how Meta’s investment in AI infrastructure is contributing to top-line and efficiency gains. 

During his remarks, Zuckerberg said the Superintelligence AI lab released “significantly upgraded” version of Meta AI, which was its first. 

“Over the past 10 months, we have built the strongest research team in the industry and established the scientific and technical foundations to scale very advanced models,” said Zuckerberg. “Now that we have a strong model, we can develop more novel products as well.”