Swimlane survey finds many businesses aren’t keeping on top of AI energy needs
Nearly three quarters are aware of the dramatic energy demands needed to train AI models
Just 13% actively monitor AI energy consumption, which may indicate most used off-premise facilities
As the transition from simple algorithms to advanced models significantly increases energy demands, the adoption of agentic AI, known for its advanced decision-making capabilities, is intensifying concerns over energy consumption, new research has claimed.
A survey by SambaNova Systems, sampling over 2000 business leaders from the United States and Europe, found 70% of business leaders are aware of the substantial energy requirements for training models for AI tools, but only 13% monitor the power consumption of their AI systems.
