A new preprint study driving conversation online estimates that by 2030, excess air pollution caused by artificial intelligence could cause up to 1,300 premature deaths a year in the United States alone. The study also estimated an annual economic impact of $20 billion per year due to lost work and school days and treatments from pollution-related health issues. Researchers at Caltech and the University of California, Riverside, project that the public health burden of AI-related pollution will exceed that from automobile and steelmaking by the end of the decade. One of the study’s authors noted that, “the growth of AI is driving an enormous increase in demand for data centers and energy, making it the fastest-growing sector for energy consumption across all industries.”
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