Credits fuel the AI ​​boom – and the fear of the bubble

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Sam Altman

Just as industry executives and analysts are questioning whether new technologies are inflated another bubble, credit investors are pouring billions into artificial intelligence investments.

Most of them read from Bloomberg

JPMorgan Chase & Co. and Mitsubishi UFJ Financial Group are supporting plans to build a large data center campus for Vantage Data Center, leading the sale of more than $22 billion in loans. Facebook's parent, Meta Platforms Inc., has won $29 billion from Pacific Investment Management Co. and Blue Owl Capital Inc. for its large data centers in rural Louisiana.

And many of these transactions are coming. Openai alone estimates that over time, trillions of dollars will be needed to spend on the infrastructure needed to develop and operate artificial intelligence services.

At the same time, major players in the industry have acknowledged that there is probably a pain ahead for AI investors. Openai CEO Sam Altman this week said this week that there are similarities between the current investment frenzy in artificial intelligence and the DOT-COM bubble in the late 1990s. When discussing the startup evaluation, he said, “Someone is going to get burned there.” The Massachusetts Institute of Technology Initiative also published a report showing that 95% of the generation AI projects in the corporate world did not benefit.

Overall, it's enough to make the credit watcher nervous.

“We're committed to providing a great deal of support for our customers,” said Daniel Sorid, head of US investment grade credit strategy at Citigroup. “So the AI ​​boom certainly raises questions about sustainability in the medium term.”

The early build-out of the infrastructure required to train and power the most advanced AI models was primarily funded by AI companies themselves, including high-tech giants like Alphabet Inc.'s Google and Meta Platforms Inc., but recently there has been an increasing number of money from bond investors and private credit lenders.

Exposures here come in many shapes and sizes with varying risks. A recent analysis by Bloomberg Intelligence shows that many large tech companies (so-called AI hyperschools) are paying for new infrastructure with gold-plated corporate debt.



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