- Swimlane Survey Finds Many Companies Aren’t Tracking AI Power Needs
- Nearly three-quarters are aware of the considerable energy demand needed to train AI models.
- Only 13% actively monitor AI power consumption, which can indicate which off-site facilities are being used the most.
While the transition from simple algorithms to advanced models significantly increases energy demand, the adoption of agentic AI, known for its advanced decision-making capabilities, is intensifying concerns about energy consumption, according to new research.
A SambaNova Systems survey of more than 2,000 business leaders in the United States and Europe found that 70% of business leaders are aware of the significant energy requirements for AI tool training models, but only 13% monitor the power consumption of their AI systems. .
At the same time, 37.2% of companies face increasing pressure from stakeholders to improve energy efficiency, and 42% expect these demands to intensify.
AI Energy Demand Challenges
Rising energy costs have become a significant challenge, with 20.3% of businesses identifying it as an urgent issue.
Fortunately, 77.4% of businesses are actively exploring ways to reduce their energy consumption by optimizing their models, adopting energy-efficient hardware, and investing in renewable energy solutions.
However, these efforts are not keeping pace with the rapid expansion of AI systems, leaving many companies vulnerable to rising costs and sustainability pressures.
“The results reveal a harsh reality: Companies are rushing to adopt AI, but are not ready to manage its energy impact,” said Rodrigo Liang, CEO of SambaNova Systems.
“Without a proactive approach towards more efficient AI hardware and power consumption, particularly in the face of growing demand for AI workflows, we risk undermining the progress that AI promises to achieve,” he added.
“By 2027, I expect more than 90% of executives to be concerned about the power demands of AI. As businesses integrate AI, addressing energy efficiency and infrastructure readiness will be critical to long-term success.
