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(Bloomberg) — Renewable-energy investor Schroders Greencoat is targeting newer data center-linked assets as AI fuels a surge in electricity demand.
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“More recently, we’ve also made investments into platforms to help develop sites for data centers,” said Duncan Hale, a portfolio manager at Schroders Greencoat, a part of Schroders Plc’s private markets business. “We’ve got as energy specialists a real role to play in that space.”
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US tech giants will spend $4 trillion on AI infrastructure through 2030, according to estimates from Bloomberg Intelligence. That will trigger huge demand by the firms for emissions-free electricity that meets their sustainability goals but which also can be brought online quickly.
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More than a quarter of new large-scale US power projects planned for 2026 will be battery installations, which can store excess electricity and feed it back to the grid during periods of high demand, according to estimates from the US Energy Information Administration, a federal data agency. Still, the growing electricity needs of AI infrastructure are also exposing risks of power shortages, rising electricity prices and bottlenecks in transmission networks.
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“If you are building a data center today and you haven’t done a lot of work in terms of how you’re going to access that power, that is a position I wouldn’t want to be in,” said Hale.
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He pointed to Ireland as an example of growing pressure on grids from AI-related demand, noting that data centers account for more than 20% of electricity consumption there and policymakers have tightened conditions for new developments because of grid-capacity concerns.
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Schroders Greencoat expects long-term returns of roughly 7% for contracted solar assets that are financed with limited debt and as much as 12% to 13% for newer technologies such as batteries and energy infrastructure linked to data centers.
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Read BI: Data Centers May Reach 14% of Power Demand by 2030
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