American investment management firm Blackstone reportedly plans to launch an acquisition company to secure AI data centers.
As reported by Bloomberg, citing unnamed sources, Blackstone plans to raise billions of dollars to fund the company and is currently approaching sovereign wealth funds, with plans to raise more from other investors.
The company will be publicly traded and will invest in pre-built and leased data center assets.
According to Bloomberg, the structure of the company is still being decided and is subject to regulatory approval, though it is expected to debut this year.
Blackstone has thrown a lot of its weight behind AI data center development in recent years, with concrete plans to become one of the biggest investors in AI infrastructure.
In 2021 Blackstone acquired QTS Data Centers for $10 billion. Since then, the company has seen its leased capacity grow by 14 times according to a Blackstone 2025 year-end stockholder letter. Blackstone’s ownership of QTS now accounts for 20.4 percent of the real estate asset value of its Blackstone Real Estate Income Trust (BREIT).
BREIT invested $5.8 billion in pre-leased data center developments in 2025 and projects the pace of this deployment to be substantially higher in 2026.
“This sector has been the fastest growing part of BREIT’s portfolio and largest driver of recent performance, benefitting from an explosion in data creation driven by cloud computing and artificial intelligence,” the stockholder letter said.
“While consumer adoption of AI is expanding, enterprise adoption and emerging applications such as robotics and autonomous vehicles are expected to drive substantially higher compute demand over time. To meet this demand, hyperscalers are expected to invest more than $2 trillion in digital infrastructure over the next five years.”
“While this level of spending naturally raises concerns around a bubble, we believe capex spend remains both reasonable and rational relative to the opportunity ahead. Technology companies today are spending only ~25 percent of revenues on capex, far below prior transformative periods, and consistently cite compute capacity, not demand, as the primary constraint on growth.”
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