Blackstone-backed data center operator QTS is actively seeking a $2 billion loan, referred to as a collateralized loan obligation, to secure electricity for its rapidly expanding artificial intelligence (AI) data centers. This strategic move underscores the immense financial requirements driven by the AI boom, which is projected to necessitate over $3 trillion in data center build-out.
QTS is engaging with numerous banks to secure guarantees for the fees it owes to utility companies. The company anticipates having approximately a dozen banks participate in the deal, with discussions currently underway regarding pricing. This initiative follows earlier reports of QTS seeking about $2 billion in bank guarantees for the same purpose, emphasizing the critical need for power to fuel AI operations.
Blackstone, a major player in the data center sector, has expressed confidence in the business, with CEO Steve Schwarzman dismissing concerns about a potential bubble. Schwarzman characterizes Blackstone's role as a straightforward service provider, constructing data centers and securing long-term leases with highly creditworthy partners such as Nvidia Corp. This lending spree in the data center sector signifies a booming debt market spurred by the urgent need to finance the infrastructure for AI.
The substantial capital requirements for AI data center development are so vast that even major technology companies like Amazon.com, Microsoft, and Meta Platforms are finding it challenging to fund these projects solely with their existing cash reserves. The scale of investment needed is comparable to an industrial revolution, far exceeding the scope of private equity investments in AI firms like OpenAI and Anthropic, and only partially offset by government subsidies.
