Report highlights necessity for energy efficiency in AI realm

Photo by Ricardo Gomez Angel

Delta announced it has supported Economist Impact, a division of The Economist Group, to conduct the global research report “Greening Intelligence: Charting the Future of Sustainable AI“.

The report, based on a survey of over 600 companies across the AI supply chain and application sectors worldwide, as well as in-depth interviews with leading AI enterprises, explores critical topics, including grid resilience, energy efficiency, edge computing, and cross-sector collaboration, ultimately aiming to help industry leaders and stakeholders better understand how to balance AI’s development with sustainability.

Ping Cheng, Delta’s Chairman and CEO, said, “As AI booms, the urgency of climate change has further underscored the importance of environmental sustainability. By supporting a globally recognized research organization, Delta aims to foster deeper discussions around the challenges and potential solutions from an industry-driven perspective.”

The report indicates the growing importance of energy efficiency in the AI realm. Currently, 44% of respondents consider energy efficiency  important in their AI-related operations or solutions, but this figure rises to 78% when they envision the next 12 months.

From the AI supply chain perspective, 38% of respondents identify power-grid resilience and electricity supply stability as key challenges for achieving AI sustainability, while 42% expect to improve energy efficiency through the adoption of edge computing solutions.

Among AI users, 96% of respondents expect their suppliers to have sustainability targets in place within the next 12 months. Looking to the future, as companies increasingly adopt AI technologies, a comprehensive approach, including enhancing energy efficiency, optimizing infrastructure, and strengthening energy auditing practices, will be essential. Equally important, collaboration across the ecosystem will be crucial to fully embrace AI while ensuring sustainable development.

- Advertisement -
Previous articleSurge in AI adoption and data-driven HR decisions fueled by HCM transformation 
Next articleSmall clients, big value: why SMEs should work together