Schroders Greencoat targets 12-13% returns on battery and data center power assets as AI demand reshapes renewable energy investing. Grid bottlenecks are the key risk.
Schroders Greencoat, the renewable-energy arm of Schroders Plc, is shifting its investment focus toward assets linked to AI data centers. The firm, which traditionally invested in wind and solar farms, is now building platforms to develop sites for data centers, according to portfolio manager Duncan Hale.
"More recently, we've also made investments into platforms to help develop sites for data centers," Hale said. "We've got as energy specialists a real role to play in that space."
The move reflects a broader sector readthrough: the $4 trillion that Bloomberg Intelligence estimates US tech giants will spend on AI infrastructure through 2030 is creating a parallel surge in demand for emissions-free electricity that can be brought online quickly. That demand is reshaping the renewable energy investment landscape, pushing capital beyond traditional solar and wind into battery storage and data center-linked power infrastructure.
The scale of the AI buildout is forcing a re-evaluation of power markets. Hyperscalers – the largest cloud and AI operators – need reliable, clean electricity to run their data centers 24/7. Solar and wind alone cannot meet that requirement without battery storage to smooth intermittency. Natural gas with carbon offsets is an option, the sustainability goals of companies like Microsoft, Google, and Amazon push them toward zero-carbon solutions.
Schroders Greencoat sees the opportunity in the gap between power demand and grid capacity. Hale pointed to Ireland as a warning: data centers now account for more than 20% of electricity consumption there, and policymakers have tightened conditions for new developments because of grid-capacity concerns.
The readthrough is clear: grid bottlenecks are becoming a material execution risk for AI infrastructure. Investors in data center REITs, chipmakers, and power utilities need to track not just capital expenditure plans but also the transmission interconnection queues and regulatory timelines that determine whether a data center can actually get turned on.
Battery installations are emerging as the fastest-growing segment of new US power projects. More than a quarter of new large-scale US power projects planned for 2026 will be battery storage, according to the US Energy Information Administration. These systems store excess electricity from solar and wind and feed it back to the grid during peak demand, making them a natural complement to data center load profiles.
Schroders Greencoat expects long-term returns of roughly 7% for contracted solar assets financed with limited debt. For newer technologies such as batteries and energy infrastructure linked to data centers, the firm sees returns as high as 12% to 13%.
The return premium on batteries and data center infrastructure reflects the execution complexity and technology risk involved. Solar is a mature asset class with predictable cash flows. Batteries require active management of charging and discharging strategies, and data center power infrastructure depends on permitting timelines and utility cooperation.
The sector readthrough is not uniform. Traditional renewable energy developers that lack exposure to data center power or battery storage may see valuation compression as capital flows toward the higher-growth segments. Firms like NextEra Energy, Brookfield Renewable, and Clearway Energy have already begun pivoting toward data center power purchase agreements. Schroders Greencoat is now joining that shift.
Key insight: The AI power demand cycle is creating a two-tier market in renewable energy. Assets that can deliver firm, dispatchable clean power – batteries paired with renewables, or direct data center infrastructure – command a return premium and attract institutional capital. Assets that only offer intermittent generation face margin pressure as supply of solar and wind capacity grows faster than demand in some regions.
Transmission constraints are the single biggest risk to the AI data center buildout. Hale's warning about Ireland applies globally. In the US, interconnection queues for new power projects have ballooned to over 1,000 GW of capacity waiting for grid studies, according to Lawrence Berkeley National Laboratory. Many of those projects will never get built.
Data center developers are responding by co-locating with existing power plants, buying existing renewable energy assets and repowering them, or even building behind-the-meter gas turbines with carbon capture. Schroders Greencoat is betting that its energy specialist expertise gives it an edge in navigating these complexities.
Risk to watch: If regulatory bottlenecks delay data center power connections, the expected 12–13% returns on data center infrastructure may take longer to materialize, compressing internal rates of return. Investors should monitor FERC and state utility commission decisions on interconnection reform and transmission planning.
While Schroders Greencoat is a private markets investor, the readthrough extends to publicly traded companies. Battery storage developers like Fluence Energy and ESS Tech stand to benefit from increased demand for grid-scale storage. Data center operators such as Equinix and Digital Realty are directly exposed to power availability and pricing. Chipmakers like NVIDIA – whose GPUs power AI workloads – are indirectly exposed because data center power constraints could limit the pace of AI infrastructure deployment.
Practical rule: When a renewable energy investor like Schroders Greencoat publicly shifts its return expectations upward for data center-linked assets, it signals that institutional capital is rotating into that subsector. That rotation often precedes valuation re-ratings for publicly traded companies in the same value chain.
Schroders Greencoat is not a household name in public markets, its move is a leading indicator for the renewable energy and infrastructure sector. The firm's return expectations – 7% for solar, 12–13% for batteries and data center infrastructure – provide a benchmark for evaluating publicly traded peers. If those returns materialize, capital will flow toward companies that can execute on data center power solutions.
What would confirm the setup: A series of power purchase agreements between hyperscalers and renewable developers, coupled with regulatory approvals for new transmission lines. What would weaken it: A slowdown in AI capital expenditure, or a regulatory clampdown on data center power consumption similar to Ireland's.
For now, the AI power demand thesis is intact, and Schroders Greencoat is placing its bets accordingly. Traders tracking the renewable energy sector should watch for similar pivot announcements from other institutional investors – they are the capital flows that move stock prices.
Prepared with AlphaScala research tooling and grounded in primary market data: live prices, fundamentals, SEC filings, hedge-fund holdings, and insider activity. Each story is checked against AlphaScala publishing rules before release. Educational coverage, not personalized advice.