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A study indicates that hundreds of millions of people reside near data centers powering artificial intelligence, experiencing elevated average local temperatures due to heat emissions. The research, published in the Proceedings of the National Academy of Sciences, analyzed over 500 data centers in the United States.
Substrate placeholder — needs reviewData centers used to support artificial intelligence operations emit significant heat, contributing to higher average temperatures in surrounding areas. According to a study reported by @NewScientist, approximately 250 million people in the United States live within 2 kilometers of such facilities.
The research examined data from over 500 data centers across the country, focusing on their environmental impact.
The study, published in the Proceedings of the National Academy of Sciences, utilized satellite temperature data and population density maps to assess the effects. 3 degrees Celsius compared to locations farther away. These changes are attributed to the heat generated by servers and cooling systems during AI computations.
The expansion of AI technologies has driven a rapid increase in data center construction.
In the United States, the number of such facilities has grown by 50% since 2018, with many concentrated in urban and suburban regions. This growth coincides with rising energy demands, as AI models require substantial computational power. Populations in proximity to these centers include residents of major cities like those in Virginia, Texas, and California, where data center hubs are prominent.
The study highlights that low-income and minority communities are disproportionately affected, often located near industrial zones hosting these facilities. No immediate regulatory changes were noted in the report.
The heat emissions from data centers add to local urban heat island effects, potentially exacerbating heatwaves in affected areas.
Globally, similar patterns may emerge as AI infrastructure expands beyond the United States. Future research could explore mitigation strategies, such as improved cooling technologies or site planning to minimize residential exposure. Stakeholders, including environmental groups and tech companies, may respond to these findings through policy discussions.
Affected communities could see increased advocacy for zoning regulations. The study does not specify next steps but underscores the need for monitoring as AI adoption continues.
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