Water pollution in Wyoming has big implications for the future of data center development.
Water Use Isn’t a Data Center Problem, It’s an AI Problem
Critics of the AI build-out are picking the wrong fight when they attack data centers for their water use. But they are right when they say the digital economy is getting thirstier and the tech industry should answer for it.The whole AI supply chain is water intensive, and reducing use in one ...
Data center guzzled 30 million gallons of water and nobody noticed for months
Can AI save us from the AI industry’s endless thirst for water? Outlook not so good.
You’re Thinking About AI and Water All Wrong
Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think.
When it comes to total water use, AI data centers are a drop in the bucket
Even moderately sized data centers can have an outsized local impact.
The Trump administration is exempting data centers from pollution laws intended to prevent acid rain - Engadget
Don't worry, the Trump administration won't let a little acid rain get in the way of more data centers.
A data center drained 30M gallons of water unnoticed — until residents complained about low water pressure
Residents in Fayetteville, Georgia, noticed low water pressure last year. The utility discovered two unaccounted-for water connections at one of the nation’s largest data center campuses.
A data center drained 30M gallons of water unnoticed — until residents complained about low water pressure
Residents in Fayetteville, Georgia, noticed low water pressure last year. The utility discovered two unaccounted-for water connections at one of the nation’s largest data center campuses.
US views of how data centers affect the environment, energy costs, jobs and more
A broad majority of Americans have heard about data centers – the often-sprawling computing facilities that are popping up nationwide. But the public has mixed opinions about data centers’ impact…
Empire of AI - Water Footprint Changes — Karen Hao
I have issued two changes to my book regarding the water footprint of data centers:
AI Data Centers Use Far More Water Than Most Tech Giants Report
Water used at the power plants that supply electricity to data centers can be much greater than the water used in the data centers themselves.
Majority of US’s new AI datacenters to be built on drought-hit land
Guardian analysis finds facilities to be built in some of the driest areas as outcry grows over water needed to power AI
Amazon’s data centers used 2.5 billion gallons of water last year
Amazon’s using a lot of water, but claims it’s using it efficiently.
Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.
Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.
AI Data Centers: Big Tech's Impact on Electric Bills, Water, and More via @ConsumerReports
Massive data centers are gobbling up resources across the United States. The boom has just begun—and you may be paying for it.
