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Blackstone readies AI data centre float

Blackstone is weighing an initial public offering that could raise about $2 billion for a new acquisition vehicle focused on data centres, a move that would deepen one of Wall Street’s biggest bets on the infrastructure underpinning artificial intelligence. The plan, still under consideration, would give public-market investors exposure to a sector that has drawn intense interest from private capital as demand for computing power, cloud capacity and AI workloads accelerates.

The contemplated listing builds on groundwork laid earlier this year, when Blackstone was reported to be setting up a publicly traded company to buy already-built and leased data centres rather than take on the higher risks of speculative development. That earlier blueprint pointed to a vehicle designed to start with capital from sovereign wealth funds and institutional investors before broadening access to a wider pool of shareholders. A larger IPO would mark a step forward in that strategy and underline how private equity groups are trying to convert AI enthusiasm into listed investment products.

For Blackstone, the appeal is straightforward. The firm has spent years building scale in digital infrastructure and has made data centres one of its highest-conviction themes. It bought QTS Realty Trust in a deal valued at roughly $10 billion in 2021, later expanded aggressively through development and leasing, and in 2024 agreed to acquire Asia-Pacific operator AirTrunk in a transaction valued at more than A$24 billion with CPP Investments. Blackstone has also continued to add to the portfolio, with reports this month that it agreed to buy a 49% stake in Rowan Digital Infrastructure.

Blackstone’s own materials show how central the sector has become to the group. The firm said in 2025 that it managed an $85 billion global data-centre platform with a powered land bank capable of supporting more than $125 billion of future growth. In March, it described itself as the world’s largest alternative asset manager with $1.3 trillion in assets under management. Those figures help explain why a listed acquisition company could appeal both as a fundraising tool and as a way to pull in individuals seeking access to infrastructure returns that have largely remained in private markets.

The timing also reflects a wider scramble for AI-related infrastructure. Blackstone has argued that hyperscaler capital spending on data centres reached $415 billion in 2025 and is set to rise further, while another company note projected the top five hyperscalers would spend more than $700 billion in 2026. McKinsey said in March that global spending on data centres could reach $7 trillion by 2030. That backdrop has pushed asset managers, sovereign funds and lenders deeper into the sector, especially where facilities are already leased to large tenants and offer more predictable cash flow.

Still, enthusiasm is being tempered by practical constraints. Reuters reported in February that AI expansion plans in the United States face power bottlenecks, turbine shortages, slow grid build-out and regulatory delays. The U. S. Energy Information Administration said this week that electricity demand is set to hit record highs in 2026 and 2027, with data centres among the main drivers. A Reuters report from late March added that data-centre electricity use could quadruple by the end of the decade, prompting operators to become more flexible in how they draw power during peak periods. Those pressures matter because they can delay projects, raise costs and test the lofty valuations now attached to digital infrastructure.

There are financial risks as well. Reuters Breakingviews noted this month that the cost of AI data-centre ambitions globally could run into the trillions of dollars, far beyond what many companies can plausibly fund on their own. Blackstone president Jon Gray said in December that data centres remained attractive because power constraints make existing capacity especially valuable, but that remark also pointed to the core tension in the market: scarcity supports pricing, yet scarcity also makes expansion harder. A listed acquisition company would therefore offer investors access to a fast-growing segment while exposing them to energy, financing and execution risks that are becoming harder to ignore.
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