The rapid adoption of AI technology globally is projected to consume a substantial amount of energy equivalent to Japan’s current energy consumption by the end of the decade. However, only half of this energy demand is expected to come from renewable sources.
The International Energy Agency (IEA) report suggests that the electricity consumed by processing data with AI in the United States alone will be significant by 2030. The overall electricity demand from data centers worldwide is anticipated to more than double by 2030, with AI being a key driver of this surge.
One data center currently consumes as much energy as 100,000 households, but newer ones under construction may require up to 20 times more. Despite these demands, fears that AI adoption will hinder efforts to combat climate change are deemed “exaggerated” in the report, which highlights the potential for AI to improve energy efficiency and reduce greenhouse gas emissions.
The Executive Director of IEA, Fatih Birol, emphasizes that AI presents a significant technological shift in the energy sector and underscores the importance of responsible use. AI has the potential to optimize energy grids for renewable sources and enhance efficiencies in energy systems and industrial processes.
Furthermore, AI can facilitate advancements in various sectors like transportation, urban planning, and resource exploration. Despite the energy challenges posed by AI, strategic government intervention is crucial to ensure a sustainable balance between technological growth and environmental preservation.
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However, concerns persist regarding the potential negative impacts of AI, such as increased water consumption in arid regions and potential reliance on non-renewable energy sources. To address these challenges, transparent governance and proactive measures are essential to harness the benefits of AI while mitigating its adverse effects.
Source: www.theguardian.com