The IEA’s special report Energy and AI, out today, offers the most comprehensive, data-driven global analysis to date on the growing connections between energy and AI. The report draws on new datasets and extensive consultation with policy makers, the tech sector, the energy industry and international experts. It projects that electricity demand from data centres worldwide is set to more than double by 2030 to around 945 terawatt-hours (TWh), slightly more than the entire electricity consumption of Japan today. AI will be the most significant driver of this increase, with electricity demand from AI-optimised data centres projected to more than quadruple by 2030.
In the United States, power consumption by data centres is on course to account for almost half of the growth in electricity demand between now and 2030.
They are creating “heat islands,” warming the land around them by up to 16 degrees Fahrenheit, and making life hotter for more than 340 million people.
They found surface temperatures increased by an average of 3.6 degrees Fahrenheit after a data center started operations. In extreme cases, nearby temperatures increase by up to 16.4 degrees Fahrenheit.
There are still big gaps in our understanding of the impacts of data centers, even as they boom in number, said Andrea Marinoni, associate professor with the Earth Observation group at the University of Cambridge, and an author of the study, which has not yet been peer-reviewed.
Imagine waking up to the sharp smell of diesel exhaust drifting through your window while you watch your community’s river run low but not from drought, but from the massive water demands of nearby data centers. It sounds dystopian, yet this is the daily reality unfolding in suburbs and rural towns across the United States.
Data centers have long relied on freshwater for cooling, but the AI boom has escalated that demand. In 2025, data centers consumed hundreds of billions of gallons of water for cooling and power generation. Developers are now tapping local rivers, aquifers, and municipal supplies at unprecedented rates to satisfy the thirst of data centers, putting the communities that host them at risk. Data center operations still rely heavily on fossil fuels, emitting air pollutants and fine particulates that raise serious public health risks, especially asthma. Meanwhile, chemical runoff from cooling systems contaminates soil and waterways.
The Trump administration is not going to set nationwide environmental requirements or recommendations for the rapidly growing data center industry, EPA Administrator Lee Zeldin said Wednesday.
A lot of the conversation on the impacts of AI has centered on energy demand and the country’s grid capacity and the potential impact on electricity prices for communities. That’s certainly a real issue. Some focus has also been on the climate impact of carbon emissions and water consumption—also important issues. What I think is getting less attention right now is that this is not just an energy or climate issue, it’s also a public health issue because of the dangers of fine particulate matter. Fine particulate matter is estimated to drive nearly 90% of the health impacts from air pollution and is often not captured in traditional energy or climate assessments or incorporated into infrastructure planning decisions.
Not to worry AI will generate trillions of dollars of profits for civilian corporations via increased productivity & reduced human labor cost. But will create defense industry jobs as AI is integrated into the US national defense infrastructure. And those masters of the universe that control the businesses and AI entities won’t have to live anywhere near a data center. And AI will develop more treatment protocols for those that have to live near a data center.
A little pollution and the diminishing of the US water supply is a small price to pay.