Artificial intelligence and sustainability were key themes at the Mobile World Congress (MWC) in Barcelona, where experts emphasized the importance of developing “Green AI.” The concept focuses on ensuring that AI technologies are designed and used in ways that minimize environmental impact while still delivering powerful digital capabilities. Discussions at the event highlighted the need for governments, companies, and international organizations to work together to ensure AI development remains environmentally responsible.
Experts explained that Green AI involves two main goals. The first is “greening AI,” which means reducing the energy, water, and material resources required to run AI systems. The second is “greening with AI,” where AI technologies are used to address environmental challenges such as climate monitoring, energy efficiency, and sustainable development initiatives. Together, these approaches aim to ensure AI supports environmental sustainability rather than increasing ecological pressures.
One major issue discussed was the environmental footprint of AI infrastructure. Data centers that power AI models are responsible for over 85% of AI-related emissions and about 91% of its water consumption. However, experts noted that technical improvements—such as model compression and optimized AI systems—could reduce energy usage by up to 90%, making AI systems far more efficient and sustainable.
Speakers also stressed the importance of policy and industry collaboration in promoting Green AI. Governments can encourage sustainable AI through regulations, procurement standards, and national AI strategies, while companies can design more efficient models and infrastructure. As AI continues to expand globally, integrating environmental considerations into its development will be essential to ensure that technological progress does not come at the cost of environmental sustainability.
