Many businesses are not effectively managing the energy needs of artificial intelligence (AI), according to a recent survey by Swimlane. The survey discovered that while around 70% of business leaders acknowledge the substantial energy requirements for training AI models, only 13% actively monitor the energy consumption of their AI systems.
The shift towards more advanced AI models is leading to a significant increase in energy demands, raising concerns over energy consumption among industry professionals. A study by SambaNova Systems interviewed over 2000 business leaders from the US and Europe, revealing that 37.2% of businesses are facing pressure to enhance energy efficiency due to AI implementations.
One of the key challenges highlighted in the survey is the rising energy costs, with 20.3% of businesses identifying this as a critical issue. Fortunately, 77.4% of enterprises are exploring different strategies to reduce power usage, such as optimizing models, adopting energy-efficient hardware, and investing in renewable energy solutions.
However, the research warns that these efforts may not be keeping up with the rapid expansion of AI systems, leaving many organizations vulnerable to escalating costs and sustainability challenges. Rodrigo Liang, the CEO of SambaNova Systems, emphasized the necessity for a proactive approach to managing the energy impact of AI in order to maintain progress and efficiency.
Looking ahead, the report predicts that the majority of business leaders will be concerned about the power demands of AI by 2027. Focusing on energy efficiency and infrastructure readiness will be crucial for the sustained success of AI integration in businesses.