A.I. Spending Is Accelerating Among Tech’s Biggest Companies - The New York Times

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Key Wu

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Nov 2, 2025, 12:10:58 PM (7 days ago) Nov 2
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Big Tech’s A.I. Spending Is Accelerating (Again)

Despite the risk of a bubble, Google, Meta, Microsoft and Amazon plan to spend billions more on artificial intelligence than they already do.

Rows of colorful cables connect computers in a date center.
Google is among several big technology companies increasing their spending on data centers.Christie Hemm Klok for The New York Times

By Karen Weise

Karen Weise covers technology from Seattle.

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Four of the tech industry’s wealthiest companies made it clear this week that their spending on artificial intelligence was not about to slow down.

But the outlays from Google, Meta, Microsoft and Amazon — which all raised their spending by billions of dollars, saying they needed to meet demand for A.I. — are increasingly feeding concerns that the tech industry is heading toward a dangerous bubble.

Artificial intelligence remains an unproven and expensive technology that could take years to fully develop. How much companies will ultimately get back in return from A.I. products like chatbots is unclear. And smaller companies pursuing A.I. gold, financial analysts pointed out, are not nearly as wealthy.

Last week, the Bank of England wrote that while the building of data centers, which provide computing power for A.I., had so far largely come from the cash produced by the biggest companies, it would increasingly involve more debt. If A.I. underwhelms — or the systems ultimately require far less computing — there could be growing risk.

“This is a fast-evolving topic, and the future is highly uncertain,” the bank wrote.

An overhead view of low but massive buildings surrounded by parking lots.
Amazon, which operates this data center in New Carlisle, Ind., said it would be “very aggressive” in building more.AJ Mast for The New York Times

Concerns mushroomed this week after a series of earnings reports. On Wednesday, Google said it was increasing what it planned to spend on A.I. data center projects this year by $6 billion, after dropping nearly $64 billion on them over the past nine months.

Microsoft said it had spent $35 billion in its latest quarter, $5 billion more than what it had told investors to expect just a few months ago. And Meta raised its spending forecast to at least $70 billion by the end of the year, which would be nearly double what it spent last year.

On Thursday, Amazon also said it would be “very aggressive” in adding more data centers and would spend $125 billion this year on capital expenditures — and even more next year.

Google, Microsoft and Amazon, which are the three largest providers of cloud computing in the United States, said they did not have enough computing power to meet customer demand. That’s despite those three and Meta shelling out a combined $112 billion in just the last three months on capital expenditures, which included construction of data centers. Over the last 12 months, the four spent a total of than $360 billion in capital expenditures.

“I thought we were going to catch up,” Amy Hood, Microsoft’s finance chief, said in a call with investors on Wednesday. “We are not. Demand is increasing. It is not increasing in just one place. It is increasing across many places.”

That same day, the Federal Reserve chair, Jerome H. Powell, addressed concerns that the A.I. build-out was unsustainable. He said he did not believe the A.I. investments resembled the late-1990s dot-com boom. Back then, he said, there “was a clear bubble” when the businesses driving the market “were ideas rather than companies.”

Now, Mr. Powell said, the largest companies behind the transformation are highly valued and largely funding their expansions from their own businesses, rather than loose lending.

“I won’t go into particular names, but they have earnings, and it looks like they have business models and profit and that kind of thing, so it is really a different thing,” he said.

Mr. Powell did not comment on concerns that, unlike the biggest tech companies, smaller companies — often the customers and partners of those cloud computing giants — were also spending fast on A.I. projects without the safety net of enormously lucrative online advertising or software businesses.

But for the moneyed foursome that announced earnings this week, spending hundreds of billions of dollars on new data centers is not a worry — not when they churned out a combined $109 billion in operating profit, which excludes taxes and investments, in just the last quarter.

Ms. Hood said Microsoft had $400 billion in future sales under contract. “That’s for booked business,” she said. “Today.” The number did not include the $250 billion in computing power that OpenAI, the creator of the ChatGPT chatbot, committed to buy from Microsoft in an announcement this week.

(The New York Times has sued OpenAI and Microsoft, claiming copyright infringement of news content related to A.I. systems. The two companies have denied the suit’s claims.)

Alphabet, the parent company of Google, raised estimates for how much it planned to spend this year to at least $91 billion from $85 billion. The company is processing at least 20 times as much data through its various A.I. products as it did a year ago, the chief executive, Sundar Pichai, said.

Amazon has doubled its cloud infrastructure capacity since 2022 and expects to double it again by 2027 to meet demand, its chief executive, Andy Jassy, told investors on Thursday. “As fast as we’re adding capacity right now,” he said, “we’re monetizing it.”

Meta, which owns Instagram, Facebook and WhatsApp, also raised its spending estimate for the year, from at least $66 billion to at least $70 billion. But it made a different case for the expenditures.

Construction equipment moves in front of a large white building and mountains.
Construction of a Meta data center in Utah last fall.Christie Hemm Klok for The New York Times

Unlike the large cloud providers, which have other customers that can use their data centers, Meta makes money from A.I. only when it uses the systems itself — in its core products to make digital ads more effective or its social networking products more engaging. It is also investing heavily to develop what it calls “superintelligence,” a theoretical technology where A.I. systems become smarter than humans.

Mark Zuckerberg, Meta’s chief executive, said he would rather build more and not less to be ready should superintelligence arrive quickly. “That way, if superintelligence arrives sooner, we will be ideally positioned for a generational paradigm shift in many large opportunities,” he said.

If it takes longer, Mr. Zuckerberg said, Meta could use the infrastructure for its core business. “In the worst case,” he added, “we will just slow building new infrastructure for some period while we grow into what we build.”

Investors were less sure. Meta’s stock fell 11 percent on Thursday.

Karen Weise writes about technology for The Times and is based in Seattle. Her coverage focuses on Amazon and Microsoft, two of the most powerful companies in America.

A version of this article appears in print on Nov. 1, 2025, Section B, Page 1 of the New York edition with the headline: Tech Titans Accelerate Investment Into A.I.. Order Reprints | Today’s Paper | Subscribe

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Luby Liao

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Nov 3, 2025, 10:28:06 PM (6 days ago) Nov 3
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Almost all AI bubble articles compare AI to the dot-com boom of the 2000s.  Of course, all bubbles are the same -- the valuations of the companies are overly inflated.  However, during the dot-com era, the vast majority of Internet-related companies had little revenue and were not profitable.  The AI boom is different.  A few big tech companies drive it.  They are all profitable, some of them hugely so.    Jerome Powell, the Fed chief, put it succinctly:

That same day, the Federal Reserve chair, Jerome H. Powell, addressed concerns that the A.I. build-out was unsustainable. He said he did not believe the A.I. investments resembled the late-1990s dot-com boom. Back then, he said, there “was a clear bubble” when the businesses driving the market “were ideas rather than companies.”
Now, Mr. Powell said, the largest companies behind the transformation are highly valued and largely funding their expansions from their own businesses, rather than loose lending.
“I won’t go into particular names, but they have earnings, and it looks like they have business models and profit and that kind of thing, so it is really a different thing,” he said.
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Luby Liao

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Nov 4, 2025, 8:59:43 PM (5 days ago) Nov 4
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A few big tech companies drive it.  They are all profitable, some of them hugely so.
With the sole exception of OpenAI, which is not a public company.   Cheers, Luby

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Luby Liao

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Nov 4, 2025, 9:17:58 PM (5 days ago) Nov 4
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Bloomberg: AI investment starting to see winners and losers

returns reign: The market is rewarding corporations whose expeditures have paid off, while showing fang at those whose spending fails to impress investors

  • Bloomberg
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A week that saw the US Federal Reserve cut interest rates and dozens of US companies report earnings boiled down to a single theme: artificial intelligence (AI).
Results from US technology giants showed that the world’s biggest corporations are still pouring billions into AI infrastructure, cheering investors and making a case for betting on the technology. The S&P 500 Index and NASDAQ 100 both advanced for the week and are hovering near fresh records.
Traders were quick to punish companies whose expenditures were not showing enough of a near-term reward — a shift in the once-relentless optimism around AI spending. Worries over massive outlays at Facebook’s parent company, Meta Platforms Inc, sent the company’s shares on their biggest daily drop in three years.

Visitors walk past the letters AI for Artificial Intelligence at the booth of Amazon Web Services (AWS) during the opening of the Hannover Messe industrial trade fair for mechanical and electrical engineering and digital industries, on March 31, 2025 in Hanover, northern Germany.

Photo: AFP

Microsoft Corp fell more than 4 percent in two days after revenue growth in its cloud-computing business failed to impress investors.
“We’re starting to see, in some cases, a discipline check that investors are putting on companies,” Charles Schwab & Co macro research and strategy director Kevin Gordon said. “At some point we will have to have some proof about what return can come from this investment.”
By contrast, investors were more sanguine about big spending at Amazon.com Inc and Alphabet Inc. Accelerating growth at Amazon Web Services helped send the company’s stock up clost to 10 percent on Friday, despite a big jump in capital expenditures.
Google’s parent company Alphabet rallied 2.5 percent on Thursday, fueled by surging demand for its cloud and AI services.
AI spending alone is unlikely to satisfy investors, who are laser-focused on revenue growth, analysts said.
“This is the first quarter we’ve seen where more [capital expenditure] wasn’t uniformly rewarded,” Jensen Investment Management Inc portfolio manager Allen Bond said. “There’s more focus on return on invested capital.”
“Big Tech” companies as a whole delivered earnings growth that beat Wall Street estimates, providing a measure of comfort for investors who had grown nervous over a richly valued stock market.
With earnings reports now in from six of the so-called Magnificent Seven, which includes Tesla Inc, quarterly profit growth is tracking at about 27 percent for the group, compared with the 15 percent expansion anticipated before the reporting season started, according to data compiled by Bloomberg Intelligence.
“Tech estimates were rising ahead of these results, and they’re still beating the higher bar,” Gordon said. “That’s a very healthy support for the market.”
While the earnings reports provided a lot to like for the AI trade, investors have to wait three more weeks to hear from what is the industry’s biggest bellwether — Nvidia Corp, whose chips dominate the market for AI computing. Its shares surged almost 9 percent last week, making it the first company to reach a market value of US$5 trillion.
Nvidia is scheduled to report on Nov. 19 and expectations are high — especially after chief executive officer Jensen Huang (黃仁勳) gave a strong outlook for growth at an event in Washington last week. Given the company’s central role in the industry, any disappointments in its results could ripple widely.

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Luby Liao

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Nov 5, 2025, 4:00:30 AM (4 days ago) Nov 5
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It is not just big tech companies that are investing heavily in the development of AI.  Other companies are investing in AI to improve their productivity.  Countries are spending lavishly to develop sovereign AI, ensuring that no single country has a chokehold on their critical infrastructure.  Not to mention that the US and China are locked in a competition to dominate.  Considering its importance in the military, the fight for supremacy is nothing short of an existential struggle.  Here is an AFP report: South Korea to triple AI spending, boost defence budget.  The ambition?
The South Korean president said 10.1 trillion won (US$7 billion) would go toward “a major transformation aimed at propelling the nation into the ranks of the world’s top three AI powers” alongside the US and China.

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Luby Liao

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Nov 6, 2025, 9:17:06 PM (3 days ago) Nov 6
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I wrote that
Not to mention that the US and China are locked in a competition to dominate.  Considering its importance in the military, the fight for supremacy is nothing short of an existential struggle.
Jensen Huang expressed the same sentiment to FT and said
“It’s vital that America wins by racing ahead and winning developers worldwide,”
How?  By selling China the most advanced AI chips, he said.
Cheers, Luby 
 

Nvidia CEO warns against China’s gains in AI race

  • AFP, BEIJING
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Nvidia Corp CEO Jensen Huang (黃仁勳) on Wednesday warned that China “is going to win” the race to develop next-generation artificial intelligence (AI), urging Washington to speed up its efforts.

The head of the US chip giant told the Financial Times that Beijing’s energy subsidies were boosting its drive to build cutting-edge semiconductors used to power AI technology.

“China is going to win the AI race,” the British newspaper cited him as saying at an event in London.

Jensen Huang attends a reception for the 2025 Queen Elizabeth Prize for Engineering in London on Wednesday.

Photo: Reuters

“As I have long said, China is nanoseconds behind America in AI,” he said in a social media post by Nvidia.

“It’s vital that America wins by racing ahead and winning developers worldwide,” he said.

California-based Nvidia last week became the world’s first US$5 trillion company, although its market cap has receded since then to about US$4.7 trillion.

Top-end Nvidia chips — used to train and power generative AI systems — are not sold in China due to US national security concerns and Chinese government bans.

Earlier this week the White House said it was still not interested in allowing Nvidia to sell its advanced Blackwell chip series in China.

The US has cited the risk of giving China a military advantage as a reason for the block.

Huang has repeatedly petitioned Washington to relax its restrictions on Nvidia chip exports, saying that the policy only drives China to advance its own technology.

The leather jacket-clad businessman criticized new rules on AI introduced by some US states to the Financial Times, contrasting it to China, where the state is subsidising electricity to power the technology.

Western states including the US and Britain are being held back by “cynicism” over AI, he said.

Experts say that Chinese chipmakers would struggle to match Nvidia’s tech prowess before the end of the decade. Challenges include building the right software to harness the chips’ power, and upgrading manufacturing tools.


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Luby Liao

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Nov 6, 2025, 9:55:11 PM (3 days ago) Nov 6
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Coming up: data centers in space powered by the sun:

Tech firms eye space for data centers

  • AFP, NEW YORK
    •  
    •  
Tech firms are floating the idea of building data centers in space and tapping into the sun’s energy to meet out-of-this-world power demands in a fierce artificial intelligence (AI) race.
US start-up Starcloud this week sent a refrigerator-sized satellite containing an Nvidia graphics processing unit (GPU) into orbit in what the AI chipmaker touted as a “cosmic debut” for the mini-data center.
“The idea is that it will soon make much more sense to build data centers in space than it does to build them on Earth,” Starcloud chief executive Philip Johnston said at a recent tech conference in Riyadh.

A 33 megawatt data center is pictured in Vernon, California, on Oct. 20.

Photo: AFP

Along with a constant supply of solar energy, data centers are easier to cool in space, advocates say.
Announcements have come thick and fast, the latest being Google this week unveiling plans to launch test satellites by early 2027 as part of its Project Suncatcher.
That news came just days after tech billionaire Elon Musk claimed his Space Exploration Technologies Corp (SpaceX) should be capable of deploying data centers in orbit next year thanks to its Starlink satellite program.
Starcloud’s satellite was taken into space by a SpaceX rocket on Sunday.
Current projects to put data centers into orbit envision relying on clusters of low Earth orbit satellites positioned close enough together to ensure reliable wireless connectivity.
Lasers would connect space computers to terrestrial systems.
“From a proof concept, it’s already there,” said University of Arizona engineering professor Krishna Muralidharan, who is involved with such work.
Muralidharan believes space data centers could be commercially viable in about a decade.
Amazon founder Jeff Bezos, the tech titan behind private space exploration company Blue Origin, has estimated it might take up to twice that long.
Critical technical aspects of such operations need to be resolved, particularly harm done to GPUs by high levels of radiation and extreme temperatures, as well as the danger of being hit by space junk.
“Engineering work will be necessary,” University of Michigan assistant professor of engineering Christopher Limbach said, adding that it is a matter of cost rather than technical feasibility.
The big draw of space for data centers is power supply, with the option of synchronizing satellites to the sun’s orbit to ensure constant light on solar panels.
Tech titans building AI data centers have ever-growing need for electricity, and have even taken to investing in nuclear power plants.
Data centers in space also avoid the challenges of acquiring land and meeting local regulations or community resistance to projects.
Advocates say that data centers operating in space are less harmful overall to the environment, aside from the pollution generated by rocket launches.
Water needed to cool a space data center would be about the same amount used by a space station, relying on exhaust radiators and reusing a relatively small amount of liquid.
“The real question is whether the idea is economically viable,” Limbach said.
An obstacle to deploying servers in space has been the cost of getting them into orbit.
However, a reusable SpaceX mega-rocket called Starship with massive payload potential promises to slash launch expenses by at least 30 times.
“Historically, high launch costs have been a primary barrier to large-scale space-based systems,” Project Suncatcher head Travis Beals wrote online.
Project launch pricing data suggest prices might fall by the mid-2030s to the point at which “operating a space-based data center could become comparable” to having it on Earth, Beals added.
“If there ever was a time to chart new economic paths in space — or reinvent old ones — it is now,” Limbach said.

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