A new report by Liberty Global and EY examines how the telecommunications sector is strategically leveraging AI solutions to accelerate sustainability efforts.
The report, Smarter Networks, Greener Planet, claims that in just two years’ time, the AI sector could consume between 85 and 134 terawatt hours (TWh) of electricity annually – approximately 0.5% of total global consumption and roughly equivalent to the current electricity usage of the Netherlands.
The report outlines four hypothetical outcomes for AI and sustainability in the next ten years, with the ‘most likely’ scenario a situation where AI helps minimise the extra energy required to support a huge growth in volume of data carried over telecommunications networks, while also yielding a number of other benefits.
Eight strategic actions
With this in mind, the report outlines eight strategic actions to enable the telecommunications sector to maximise AI’s sustainability potential:
1– Conduct thorough assessments of AI’s environmental impact to identify energy and waste reduction opportunities.
2 – Prioritise AI-driven optimisation across mobile and fixed-line networks.
3 –Transition to AI-managed renewable energy systems to better integrate diverse energy sources and forecast future needs.
4 – Implement AI-enhanced circular economy practices to extend equipment lifespans and improve recycling efforts.
5 – Establish robust AI governance frameworks that incorporate sustainability goals.
6 –Foster a culture of innovation and sustainability through cross-functional collaboration.
7 – Invest in workforce development to equip teams with AI, data analytics, and environmental management skills.
8 – Advocate for industry-wide sustainable AI standards with measurable environmental impact metrics.
Network collaboration
Commenting on the findings, Dr Harvey Lewis, partner for AI at EY and the author of the report, said, “While the scenarios we present are speculative, they highlight the strategic potential of AI in the telco sector.
“Success will depend on network collaboration across Europe, investment in skills and infrastructure to create more competition, and a holistic approach to AI adoption that balances immediate efficiency gains with long-term sustainability impacts.” Read more here.
