AI's Air Pollution Problem: Data Center Energy Use Adds to Deadly Emissions

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AI's Air Pollution Problem: Data Center Energy Use Adds to Deadly Emissions

The increasing energy consumption by data centers, particularly for AI, is significantly contributing to air pollution. A study from researchers at the University of California, Riverside, and CalTech warns that this trend could lead to thousands of premature deaths and substantial health costs in the U.S. unless cleaner energy sources are adopted.

The study highlights that the pollution from AI data centers could surpass emissions from traditional sources, emphasizing the urgent need for tech companies to disclose their environmental impacts. Companies like Microsoft and Meta are investing in cleaner energy solutions, but fossil fuels still play a major role in powering these facilities, raising concerns about the long-term health effects on communities.

• AI data centers could lead to 1,300 premature deaths annually in the U.S.

• Pollution from AI data centers may exceed California's on-road emissions.

Key AI Terms Mentioned in this Article

Data Centers

Data centers are facilities that house computer systems and associated components, crucial for AI operations.

Air Pollution

Air pollution refers to harmful substances in the atmosphere, exacerbated by energy consumption from data centers.

Renewable Energy

Renewable energy is energy from sources that are naturally replenished, which tech companies are increasingly investing in.

Companies Mentioned in this Article

Amazon Web Services

Amazon Web Services provides cloud computing services, heavily reliant on data centers that contribute to air pollution.

Microsoft

Microsoft is investing in renewable energy and nuclear power to mitigate emissions from its data centers.

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