New Industry Coalition Targets Data Center Power Bottleneck

New Industry Coalition Targets Data Center Power Bottleneck

A new industry group aims to standardize how AI data centers secure and deploy power infrastructure as grid interconnection delays stretch into years-long waits in many markets.

The Sijbrandij Foundation this week launched the Data Center Power Coalition, bringing together 12 founding partners across energy technology, on-site generation, and grid interconnection sectors. The coalition is built around an open-source Data Center Power Playbook that outlines a four-phase approach to powering AI facilities, according to Data Center Knowledge.

Founding members include Amperesand, DG Matrix, Emerald AI, Florrent, GridCare, Hammerhead, Hanwha, Hitachi, NeuralWatt, Planted Solar, Skeleton Technologies, and Voltus.

The power co-development model

The coalition's framework centers on what it calls "power co-development" — planning electricity infrastructure alongside compute capacity from the outset rather than treating power as an afterthought. The approach emphasizes solar-and-storage-centric on-site generation combined with embedded load flexibility to accelerate grid interconnection timelines.

"Power is the single greatest bottleneck to scaling AI compute," said Aric Li, who leads the Sijbrandij Foundation's Data Center Energy Initiative. "The commercially superior way to solve it wasn't being widely adopted, simply because it was too complex to execute."

Li explained that the coalition addresses a market disconnect: energy companies solve parts of the power challenge in isolation, while AI infrastructure operators want streamlined procurement rather than coordinating multiple vendors independently.

Load flexibility as competitive advantage

A core element of the coalition's strategy involves load flexibility — the ability for data centers to modulate their grid draw during peak demand hours while maintaining service levels through on-site resources like battery storage.

"The grid has a capacity challenge, not an energy challenge," Li noted. By avoiding contribution to peak-hour loads, data centers can improve overall grid utilization and lower costs for all ratepayers, which in turn can earn facilities accelerated interconnection approval under emerging policy standards.

The approach also allows operators to run more compute workloads on the same power envelope by orchestrating operational flexibility within over-provisioned facilities.

Why it matters

As AI infrastructure buildouts accelerate, power availability has emerged as a more significant constraint than hardware supply or real estate. Grid interconnection queues in key markets now extend multiple years, forcing operators into fragmented, one-off solutions. A standardized framework backed by vetted technology partners could reduce deployment timelines and lower barriers for smaller operators lacking dedicated energy teams — potentially reshaping how the industry approaches infrastructure planning.

Path to adoption

The Sijbrandij Foundation, a philanthropic nonprofit, designed the coalition without a revenue model. Partners are organized into complementary subcategories, with some competition within categories to avoid single-sourcing. The Foundation acts as neutral coordinator, helping demand-side teams assemble appropriate vendor packages for specific projects.

The coalition plans to prove its model through reference projects launching within the next 12 months, with the playbook and partner roster updated roughly monthly as the initiative expands.

These details were first reported by Data Center Knowledge.