Artificial intelligence (AI) is often criticized for its significant energy consumption and potential contribution to global warming. However, advocates at the UN climate change summit COP30 in Belem, Brazil, are proposing a different perspective: AI could help mitigate the climate crisis. They argue that AI can enhance efficiencies in key sectors like food, transportation, and energy, potentially reducing emissions.
A coalition of organizations, including UN agencies and the Brazilian government, launched the AI Climate Institute to empower developing countries in using AI to tackle environmental challenges. This initiative aims to educate nations on how AI can optimize public transportation, improve agricultural systems, and enhance energy grids to integrate renewable sources effectively. AI could also improve weather forecasting and disaster response, helping predict events like floods and wildfires.
Despite these optimistic views, some experts express skepticism. They point to the large energy demands of AI, particularly generative models, which contribute to substantial carbon emissions through data center expansions. A Cornell University study estimates that AI growth in the U.S. could add 44 million tons of CO2 by 2030, equivalent to emissions from 10 million cars.
Critics argue that a techno-optimistic outlook on AI’s role in solving the climate crisis is misplaced, emphasizing the necessity of phasing out fossil fuels instead. While AI holds potential benefits, its current applications primarily serve profit-driven motives, often at the expense of environmental sustainability. Many believe we remain far from a balance where AI offsets its negative environmental impacts effectively.
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