Sustainability THE AI GREEN SHIFT
Markus Nispel, CTO of EMEA at Extreme Networks
A 20 | January/February 2025
ccording to the International Energy Agency, AI brings a heavy computational burden,
as electricity consumption from data centres in the European Union in 2026 is forecast to be 30% higher than 2023 levels. While AI’s rapid advancements offer transformative benefits, the use of this sophisticated tech also brings a host of environmental concerns. Prioritising sustainable practices in AI development and deployment is therefore crucial. To help organisations address the
sustainability problem sitting behind closed doors, we’ll explore the various carbon consequences of AI, how
it’s contributing to environmental degradation, and the steps companies can take to mitigate its impact.
The impact of AI-induced energy consumption AI’s quick-fire output makes it an invaluable tool for businesses everywhere - it saves time and resources that can be spent elsewhere, but we mustn’t forget this comes at a price. Te energy-intensive nature of the
Graphic Processing Units (GPUs) that fuel AI, especially those with Large Language Models (LLMs), have sparked significant environmental concerns. Tese high-
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