s AI adoption and evolution accelerates across the world , concerns of its environmental impact have reared their head .
Whilst companies are becoming more accustomed to the challenge of trying to balance competitive edge against climate commitments , AI ’ s rapid evolution has brought with it its own sustainability issues .
A primary concern is the growth in large language models ( LLMs ) and machine learning ( ML ) systems that have led to increased energy consumption in data centres worldwide – prompting technology leaders to seek solutions that maintain performance while reducing carbon emissions .
This challenge comes as extreme weather events in 2023 caused more than US $ 150bn in damage across the US alone , reminding the world of the urgency for climate action .
Yet unlike other sectors , technology companies now face pressure to develop
170 March 2025