Camus Energy Joins Alliance to Speed Flexible AI Data Center Connections
The AI Energy Management Alliance says flexible facilities could unlock 100 gigawatts of capacity from the existing U.S. power system.

Camus Energy joined the AI Energy Management Alliance (AEMA) as a launch partner, adding its grid-management software to an effort aimed at connecting AI data centers to U.S. power systems more quickly.
Camus announced the move Sept. 24 at 11:30 a.m. ET (15:30 UTC). Emerald AI, Google and NVIDIA launched AEMA on Sept. 16 to promote data centers that can adjust electricity use when grid conditions tighten.
The alliance’s approach includes shifting computing workloads, drawing on stored energy, using paired generation or reducing demand during periods of system stress. AEMA says those flexible operations could unlock 100 gigawatts of capacity from the existing U.S. power system.
AEMA also says new AI data centers can face connection timelines of five to seven years or longer in key U.S. markets. That makes the ability to vary demand relevant to developers seeking faster access to electricity without relying solely on fixed grid capacity.
Camus markets FlexConnect to utilities and data center developers. The software analyzes available grid capacity, establishes firm and flexible operating limits, and coordinates responses when the system is constrained.
Camus says FlexConnect can help data centers secure utility power three to five years sooner through flexible grid connections. The company also says sites using the platform can remain fully grid-powered except for approximately 40 to 70 constrained hours annually.
“Hyperscalers and neoclouds need rapid access to power to capture the massive AI opportunity, and grid power remains their absolute first choice,” Astrid Atkinson, CEO and co-founder of Camus Energy, said.
“Camus is joining AEMA to support flexible interconnections between data center developers and utilities,” Atkinson said.
AEMA’s framework would allow data centers to actively support grid operations by varying their power consumption. Its proposed requirements are technology-neutral and performance-based, covering response speed, operating duration, predictability, emergency behavior and operational data sharing.
The alliance says its predecessor, the Advanced Energy Management Alliance, was founded in 2014 and relaunched in 2026 with a focus on AI infrastructure. Camus says its U.S. utility partners serve seven million customers.
Camus will participate in shaping technical standards, market definitions and public policy through its role in AEMA.


