Chanos Casts Doubt on SpaceX Valuation, AI Infrastructure Trade at Global Alts New York
- By Remmy Bahati

- Jun 11
- 3 min read

NEW YORK (GAB) — As investors pour capital into artificial intelligence infrastructure, data centers and one of the largest initial public offerings in market history, veteran short seller Jim Chanos delivered a sharply contrarian message at Global Alts New York: many of Wall Street's favorite trades may be pricing in a future that is far from guaranteed.
Speaking at the alternative investment conference attended by hedge fund managers, institutional allocators, and private market investors, the founder of Chanos & Company challenged the assumptions driving some of the market's strongest performers, including SpaceX, data center operators, neocloud providers, and companies tied to the AI power buildout.
The discussion came days before SpaceX's highly anticipated public debut, a transaction expected to raise roughly $75 billion and value the company near $2 trillion. While investor demand has been robust, Chanos questioned whether current expectations have moved too far ahead of financial reality.
"We're going to be doing a $75 billion IPO with a valuation of close to $2 trillion for a company with revenues of $19 billion, negative free cash flow," Chanos said. "This is really a hopes and dreams IPO."
The veteran investor argued that much of the valuation appears tied to future opportunities ranging from artificial intelligence to space-based infrastructure rather than existing operations. Although he acknowledged the strength of SpaceX's satellite communications business, Chanos said he struggled to justify the premium investors are assigning to businesses that have yet to be fully developed.
"You can get to a couple of hundred billion dollars on the businesses that exist," he said. "It's then, is the rest of it worth $1.5 trillion?"
Beyond SpaceX, Chanos used the conference stage to renew his long-standing skepticism toward data center economics, arguing that investors have become increasingly focused on AI demand while paying less attention to underlying returns on capital.
"We've been bearish on data centers since back in 2022," he said, describing the sector as a capital-intensive business that historically generated modest returns despite heavy investment.
His criticism extended to so-called neocloud companies such as CoreWeave, which have emerged as major beneficiaries of the AI spending boom. Chanos argued that many of these firms function primarily as intermediaries between chip suppliers and end users.
"Anybody that's just a middleman in this chain should never trade at higher multiples than the company that controls their supply," he said.
A recurring theme throughout the conversation was the similarity between today's AI investment cycle and the technology boom of the late 1990s.
Chanos noted that the dot-com era was fueled by assumptions that internet traffic would continue expanding at extraordinary rates, encouraging companies to build far more infrastructure than ultimately proved necessary. Today, he sees a comparable narrative emerging around artificial intelligence.
"Right now we have a similarity in that there's just a belief that there's infinite demand for compute," he said.
The consequence, according to Chanos, is a capital spending cycle that is boosting profits across the technology sector while simultaneously increasing the risk of future overcapacity. He pointed to the late 1990s, when surging technology investment drove strong earnings growth before demand weakened and spending slowed.
The investor also challenged a popular investment thesis that artificial intelligence will require a dramatic expansion of electricity generation. Shares of nuclear, renewable energy, and power infrastructure companies have surged over the past year as investors position for rising data center demand.
Chanos argued that the United States faces infrastructure bottlenecks rather than a fundamental shortage of energy supply.
"The one thing that we're not short of in the United States is actually power," he said.
He predicted that permitting, transmission, and equipment constraints would eventually ease, reducing the need for some of the more aggressive growth assumptions embedded in energy-related stocks.
For investors at Global Alts, perhaps the most consequential warning involved the broader market itself.
Chanos pointed to a growing pipeline of IPOs, secondary offerings, and other equity sales as evidence that companies are taking advantage of favorable market conditions.
"Wall Street has a printing press too," he said. "Now the printing press is printing lots of stock."
He added that the current issuance wave could surpass the peaks reached during 1999, 2000, and 2021, periods that ultimately preceded significant market declines.
Whether those warnings prove correct remains to be seen. But at a conference largely focused on opportunities created by artificial intelligence and private markets, Chanos delivered a reminder that some of Wall Street's most profitable trades have historically emerged from questioning the assumptions everyone else accepts.









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