The rise of artificial intelligence has brought about incredible advancements, but it also comes with a significant downside: an escalating power demand in data centers. As AI models grow more complex and widespread, the energy required to process and store data has surged, straining existing infrastructure and raising concerns about sustainability.

From training deep learning models to running AI-powered applications, data centers are consuming more electricity than ever before, making it crucial for businesses to address this growing challenge. The need for innovative energy management strategies has never been more pressing as we balance AI’s potential with its environmental impact.

We surveyed 1,200 professionals to uncover how businesses are addressing the rising energy demands of AI, focusing on strategies like energy-efficient hardware, algorithm optimization, and innovative AI-driven solutions to balance performance with sustainability.

The push for AI energy efficiency is crucial as businesses strive to balance performance with sustainability. Key strategies include energy-efficient hardware, optimized algorithms, simplified AI models, and on-device AI solutions. However, high costs and technical complexities are significant barriers, requiring accessible solutions and specialized expertise.

Prioritize investment in energy-efficient technologies and build expertise in optimizing AI models. Embrace innovations in low-power hardware and new algorithms to enhance sustainability. Overcoming resistance to change within organizations is essential for successfully integrating these advancements, leading to long-term cost savings and reduced environmental impact.