Stock Markets February 27, 2026

Blackstone Sets Up Public Vehicle to Acquire AI Data Centers

Alternative asset manager seeks institutional seed capital and plans broader retail raise to finance data-center purchases

By Derek Hwang BX
Blackstone Sets Up Public Vehicle to Acquire AI Data Centers
BX

Blackstone Inc. is creating a publicly traded acquisition vehicle dedicated to acquiring data centers tied to artificial intelligence infrastructure. The firm is initially targeting investment from sovereign wealth funds and other institutional backers, with an eventual plan to raise tens of billions from a wider investor base. The move aligns with Blackstone's aim to expand its presence in AI infrastructure while extending access beyond traditional institutional clients to retail investors, and it raises questions about the long-term durability of the recent data-center buildout.

Key Points

  • Blackstone is forming a publicly traded acquisition vehicle to purchase data centers used for AI workloads.
  • The firm is initially seeking capital from sovereign wealth funds and other institutional investors, with plans to later raise tens of billions from a broader investor base including retail investors.
  • The move aims to pair Blackstone's effort to expand its footprint in AI infrastructure with an initiative to broaden its investor base beyond traditional institutional clients.

Blackstone Inc. is preparing to launch a publicly traded acquisition company focused on buying data centers that support artificial intelligence workloads. The vehicle is intended to open access to AI infrastructure assets to a broader set of investors, including retail participants.

According to people familiar with the plans, Blackstone has started by seeking seed capital from sovereign wealth funds and other institutional investors. The firm foresees a later phase in which it would solicit capital from a much wider investor base and ultimately aims to raise tens of billions of dollars.

The new public vehicle represents a dual strategic push by Blackstone: to become a primary investor in AI infrastructure and to expand its investor reach beyond traditional clients such as pension funds and endowments. By creating a listed acquisition vehicle, the firm intends to provide retail investors with a route into the data-center segment of the technology supply chain.

Market observers have highlighted that the announcement places Blackstone at the heart of ongoing questions about the durability of the recent data-center construction boom. Those concerns focus on whether demand and economics will sustain the rapid expansion of large-scale facilities built to host AI training and inference workloads.

Some investors cited in reporting warn of a specific risk: technological change could shift the requirements for AI training infrastructure and render large training campuses, particularly those located far from major metropolitan areas, less valuable or even obsolete. That uncertainty underlines potential exposure for individual investors if the listed vehicle aggregates significant holdings of such assets.

The planned offering ties together Blackstone's broader objective to increase its footprint in AI-related physical infrastructure and its desire to broaden the pool of capital from which it draws. The initiative remains at the planning stage, with initial institutional commitments being sought before any wider retail raise is pursued.


Summary

Blackstone is creating a public acquisition company to buy AI data centers, initially courting sovereign wealth funds and institutional investors and ultimately planning a much larger retail raise that could total tens of billions of dollars. The strategy combines an ambition to be a leading investor in AI infrastructure with a move to expand access beyond traditional institutional clients. Critics have raised concerns about the durability of the data-center building cycle and whether future technological changes could undermine the value of large, remote AI training facilities.

Risks

  • Durability of the data-center construction boom is uncertain - the sector backing these acquisitions could face demand or economic headwinds.
  • Technological shifts could make large AI training facilities, especially those located far from major metro areas, obsolete, posing valuation and liquidity risks for investors in the vehicle.

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