(Bloomberg) -- Alibaba Group Holding Ltd. Chairman Joe Tsai warned of a potential bubble forming in data center construction, arguing that the pace of that buildout may outstrip initial demand for AI services.
A rush by big tech firms, investment funds and other entities to erect server bases from the US to Asia is starting to look indiscriminate, the billionaire executive and financier said. Many of those projects are built without clear customers in mind, Tsai told the HSBC Global Investment Summit in Hong Kong Tuesday.
From Microsoft Corp. to SoftBank Group Corp., tech firms on both sides of the Pacific are spending billions of dollars buying the Nvidia Corp. and SK Hynix Inc. chips crucial to AI development. Alibaba itself — which in February declared it was going all-in on AI — plans to invest more than 380 billion yuan ($52 billion) over the next three years. Server farms are springing up from India to Malaysia, while in the US, President Donald Trump is touting a Stargate project that envisions an outlay of half-a-trillion dollars.
Alibaba’s shares slid more than 3% in Hong Kong. Many on Wall Street have begun to question that spending, especially after Chinese upstart DeepSeek released an open-source AI model that it claims rivals US technology but was built at a fraction of the cost. Critics have also pointed out the persistent dearth of practical, real-world applications for AI.
“I start to see the beginning of some kind of bubble,” Tsai told delegates. Some of the envisioned projects commenced raising funds without having secured “uptake” agreements, he added. “I start to get worried when people are building data centers on spec. There are a number of people coming up, funds coming out, to raise billions or millions of capital.”
Alibaba is mounting a comeback in 2025 thanks in part to the recent popularity of its Qwen-based AI platform, which it envisions boosting Alibaba’s core commerce business as well as cloud services. At the summit, Tsai talked about how Alibaba was undergoing a “reboot” and rehiring after years of regulatory scrutiny that crimped growth. It’s initiated programs to acquire the AI talent it needs to further its stated ambition of exploring artificial general intelligence.
At the same time, Tsai had choice words for his US rivals, particularly with their spending.
Just this year, Amazon.com Inc., Alphabet Inc. and Meta Platforms Inc. pledged to spend $100 billion, $75 billion and up to $65 billion, respectively, on AI infrastructure.
But in February, TD Cowen analysts cited signs that Microsoft has canceled some leases for US data center capacity, raising concerns over whether it’s securing more AI computing capacity than it needs in the long term.
Its executives have played down those concerns, saying Microsoft is spending more than it ever has in its history, outlays that mostly go toward chips and data centers. The US company has said it expects to spend $80 billion this fiscal year on AI data centers, but that pace of spending growth should begin to slow in the year starting July.
“I’m still astounded by the type of numbers that’s being thrown around in the United States about investing into AI,” Tsai told the audience.
“People are talking, literally talking about $500 billion, several 100 billion dollars. I don’t think that’s entirely necessary. I think in a way, people are investing ahead of the demand that they’re seeing today, but they are projecting much bigger demand.”
Explainer: AI Wants More Data. More Chips. More Real Estate. More Power. More Water. More Everything
A rush by big tech firms, investment funds and other entities to erect server bases from the US to Asia is starting to look indiscriminate, the billionaire executive and financier said. Many of those projects are built without clear customers in mind, Tsai told the HSBC Global Investment Summit in Hong Kong Tuesday.
From Microsoft Corp. to SoftBank Group Corp., tech firms on both sides of the Pacific are spending billions of dollars buying the Nvidia Corp. and SK Hynix Inc. chips crucial to AI development. Alibaba itself — which in February declared it was going all-in on AI — plans to invest more than 380 billion yuan ($52 billion) over the next three years. Server farms are springing up from India to Malaysia, while in the US, President Donald Trump is touting a Stargate project that envisions an outlay of half-a-trillion dollars.
Alibaba’s shares slid more than 3% in Hong Kong. Many on Wall Street have begun to question that spending, especially after Chinese upstart DeepSeek released an open-source AI model that it claims rivals US technology but was built at a fraction of the cost. Critics have also pointed out the persistent dearth of practical, real-world applications for AI.
“I start to see the beginning of some kind of bubble,” Tsai told delegates. Some of the envisioned projects commenced raising funds without having secured “uptake” agreements, he added. “I start to get worried when people are building data centers on spec. There are a number of people coming up, funds coming out, to raise billions or millions of capital.”
Alibaba is mounting a comeback in 2025 thanks in part to the recent popularity of its Qwen-based AI platform, which it envisions boosting Alibaba’s core commerce business as well as cloud services. At the summit, Tsai talked about how Alibaba was undergoing a “reboot” and rehiring after years of regulatory scrutiny that crimped growth. It’s initiated programs to acquire the AI talent it needs to further its stated ambition of exploring artificial general intelligence.
At the same time, Tsai had choice words for his US rivals, particularly with their spending.
Just this year, Amazon.com Inc., Alphabet Inc. and Meta Platforms Inc. pledged to spend $100 billion, $75 billion and up to $65 billion, respectively, on AI infrastructure.
But in February, TD Cowen analysts cited signs that Microsoft has canceled some leases for US data center capacity, raising concerns over whether it’s securing more AI computing capacity than it needs in the long term.
Its executives have played down those concerns, saying Microsoft is spending more than it ever has in its history, outlays that mostly go toward chips and data centers. The US company has said it expects to spend $80 billion this fiscal year on AI data centers, but that pace of spending growth should begin to slow in the year starting July.
“I’m still astounded by the type of numbers that’s being thrown around in the United States about investing into AI,” Tsai told the audience.
“People are talking, literally talking about $500 billion, several 100 billion dollars. I don’t think that’s entirely necessary. I think in a way, people are investing ahead of the demand that they’re seeing today, but they are projecting much bigger demand.”
Explainer: AI Wants More Data. More Chips. More Real Estate. More Power. More Water. More Everything
