By Dan Howells and Todd Larsen, Green America
Artificial intelligence is everywhere. But its powerful computing comes with a big cost to our planet, our neighborhoods and our wallets.
AI servers are so power hungry that utilities are keeping coal-fired power plants that were slated for closure running to meet the needs of massive servers. And in the South alone, there are plans for 20 gigawatts of new natural-gas power plants over the next 15 years — enough to power millions of homes — just to feed AI’s energy needs.
Multi-billion dollar companies like Microsoft, Google, Amazon and Meta that previously committed to 100% renewable energy are going back to the Jurassic Age, using fossil fuels like coal and natural gas to meet their insatiable energy needs. Even nuclear power plants are being reactivated to meet the needs of power-hungry servers.
At a time when we need all corporations to reduce their climate footprint, carbon emissions from major tech companies in 2023 have skyrocketed to 150% of average 2020 values.
AI data centers also produce massive noise pollution and use huge amounts of water. Residents near data centers report that the sound keeps them awake at night and their taps are running dry.
Many of us live in communities that either have or will have a data center, and we’re already feeling the effects. Many of these plants further burden communities already struggling with a lack of economic investment, access to basic resources and exposure to high levels of pollution.
To add insult to injury, amid stagnant wages and increasing costs for food, housing, utilities and consumer goods, AI’s demand for power is also raising electric rates for customers nationwide. To meet the soaring demand for energy that AI data servers demand, utilities need to build new infrastructure, the cost of which is being passed onto all customers.
A recent Carnegie Mellon study found that AI data centers could increase electric rates by 25% in Northern Virginia by 2030. And NPR recently reported that AI data centers were a key driver in electric rates increasing twice as fast as the cost of living nationwide — at a time when one in six households are struggling to pay their energy bills.
All of these impacts are only projected to grow. AI already consumes enough electricity to power 7 million American homes. By 2028, that could jump to the amount of power needed for 22% of all U.S. households.
But it doesn’t have to be this way.
AI could be powered by renewable energy that is non-polluting and works to reduce energy costs for us all. The leading AI companies, who have made significant climate pledges, must lead the way.
Microsoft, Google, Amazon and Meta have all made promises to the communities they serve to tackle climate and pollution. They all have climate pledges. And they have made significant investments in renewable energy in the past.
Those investments make sense, since renewables are the most affordable form of electricity. These companies have the know-how and the wealth to power AI with wind, solar and batteries — which makes it all the more puzzling that they’re relying on fossil fuels to power the future.
If these corporate giants are to be good neighbors, they first need to be open and honest about the scope and scale of the problem and the solutions needed.
As these companies invest billions in technology for AI, they must re-up investments in renewables to power our future and protect our communities. They must ensure that communities have a real voice in how and where AI data centers are built — and that our communities aren’t sacrificed in the name of profits.
Dan Howells is the climate campaigns director at Green America. Todd Larsen is Green America’s executive co-director. This op-ed was distributed by OtherWords.org. Banner photo: Data center server racks (iStock image).
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