Research shows that artificial intelligence has the potential to lower global climate emissions by up to 5.4 billion metric tons each year within the next decade, mainly through improvements in transportation, energy, and food production. These reductions could outpace the expected increase in energy use and emissions from energy-intensive data centers associated with AI. These findings are from the Grantham Research Institute, reported in the journal “npj Climate Action.” To maximize the effectiveness and market acceptance of low-carbon solutions, the report stresses focusing AI applications on critical areas, guided by government.
Governments need to enforce regulations that lessen the environmental impact of AI, like creating energy-efficient AI systems and using renewable sources for data centers. There is also a need for investments in AI infrastructure, and educational resources in developing regions to ensure everyone can access AI’s advantages. Although concerns about energy consumption in AI applications have been raised, particularly in light of competition, AI still offers opportunities for emissions reduction.
Projections indicate data centers may demand double their current electricity use by 2030, heightening the burden on power grids. Yet, the Grantham report highlights that AI can enhance energy distribution by improving forecasting, integrate renewable energy sources, and promote alternatives to meat and dairy, which could significantly cut emissions. While these reductions are not enough to meet climate goals, they could offset some emissions resulting from data centers, making active government participation crucial for harnessing AI’s full potential for climate change mitigation.
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