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Industry analysts see AI infrastructure investment as sustainable while OpenAI's Altman signals multi-trillion dollar capital deployment.

Strong capital commitment signals from major AI labs validate sustained long-term infrastructure demand and buildout acceleration.
NewswireSlicast · August 19, 2025 · Global · Source: cnbc.com
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Sam Altman, CEO of OpenAI, expressed unease about the artificial intelligence boom that his company helped ignite with ChatGPT in late 2022. While startups with little more than a pitch deck are raising hundreds of millions and valuations have become "insane," Altman acknowledged the frothy market conditions. At a recent dinner with reporters, he stated: "Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes." However, he balanced this concern by adding, "Is AI the most important thing to happen in a very long time? My opinion is also yes." He repeated the word "bubble" three times in 15 seconds and half-joked that someone would write a sensational headline about his comments.

Despite warning about inflated valuations, Altman signaled OpenAI's commitment to massive infrastructure spending. "You should expect OpenAI to spend trillions of dollars on datacenter construction in the not very distant future," he said, adding that the company is "beyond the compute demand" of what any one hyperscaler can offer. OpenAI has already signed a deal with Google Cloud this spring and plans to acquire as much compute capacity as possible. "You should expect us to take as much compute as we can," Altman explained. "Our bet is, our demand is going to keep growing, our training needs are going to keep going, and we will spend maybe more aggressively than any company who's ever spent on anything ahead of progress."

The major technology companies are all raising their capital expenditure targets to meet AI infrastructure demand. Microsoft is now targeting $120 billion in full-year capital expenditures, Amazon is topping $100 billion, Alphabet raised its forecast to $85 billion, and Meta lifted the high end of its capex range to $72 billion. Dan Ives of Wedbush told CNBC's "Closing Bell" that demand for AI infrastructure has grown 30 to 40 percent in the last months, characterizing the capex surge as validation for the sector. Ives acknowledged "some froth" in parts of the market but argued that the AI revolution is "only starting to play out" and we are in the "second inning of a nine-inning game."

Skeptics and defenders of the current spending levels have offered contrasting perspectives. Rob Rowe of Citi pushed back on comparisons between today's AI boom and the dotcom bubble, noting that companies today have "very solid earnings, very strong cash flow" and are funding infrastructure spending through cash flow rather than debt—unlike the over-leveraged situations of the late 1990s. However, Alibaba co-founder Joe Tsai warned of a brewing AI bubble in March at HSBC's Global Investment Summit in Hong Kong, questioning whether "hundreds of billions in spending is necessary" and flagging concerns about companies building datacenters "on spec," without clear demand.

Altman sees the current investment cycle as part of the natural rhythm of technological progress. He acknowledged that the dotcom crash wiped out scores of companies but still gave rise to the modern internet, and he expects AI to follow a similar trajectory. "I do think some investors are likely to get very burnt here, and that sucks. And I don't want to minimize that," he said. "But on the whole, it is my belief that... the value created by AI for society will be tremendous."

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Industry analysts see AI infrastructure… · Slicast