The giant buildings that power AI use huge amounts of electricity, and many Americans are worried about what that means for their utility bills.
Amazon's cloud computing business, Amazon Web Services (AWS), said on Friday, Oct. 2, 2026, that it will invest more than $1 billion over the next five years in communities where it builds data centers. The money is meant for education, job training, energy affordability, and water and energy conservation, according to CBS News and the Associated Press.
A data center is a large building full of computers that store information and run online services, including artificial intelligence (AI) tools. These buildings need a lot of electricity to run and to stay cool.
Why Amazon is doing this now
Data centers are facing growing pushback in many towns. According to the AP, more than 100 moratoriums against data centers are being considered across the country. A moratorium is a temporary ban, in this case on building new data centers.
CBS News reported that a recent CBS News poll found more Americans oppose than favor having data centers in their area. The AP reported that a majority of Americans are "extremely" or "very" concerned about the impact of data centers on electricity prices or the water supply.
AWS CEO Matt Garman argued that slowing the buildout would hurt the U.S. in the global race to develop AI. "There is urgency to this data center buildout because we aren't the only country that sees the benefits of AI for the economy and national security," he said, according to CBS News.
Amazon also said it has stopped using nondisclosure agreements with government agencies on these projects and is holding open houses in data center communities, the AP reported. A nondisclosure agreement is a contract that keeps details secret. Critics have said such deals kept residents in the dark about big projects.
The AP noted that Amazon says it already spent more than $1 billion in data center communities over the past three years.
The electricity question
The biggest money worry for many households is the power bill. Electricity demand is rising quickly as more data centers come online. U.S. electricity demand is projected to rise 16% by 2029, largely because of data centers, according to CBS News.
When demand for electricity rises faster than supply, utilities may need to build new power plants and power lines. Those costs can sometimes be passed on to customers through higher rates, though how that works depends on your state and your utility. Amazon has not said exactly how much of its new pledge will go toward energy affordability or what those programs will look like.
What this means for your wallet
You cannot control where data centers go up, but you can take some steps to manage your own power costs:
- Read your bill. Look at your rate per kilowatt-hour (kWh), the unit used to measure electricity. Knowing your rate makes it easier to spot increases.
- Ask about budget billing. Many utilities offer plans that spread costs evenly across the year, which may make bills more predictable.
- Look for assistance programs. Utilities and states often have help for lower-income households. If Amazon funds energy affordability programs in your area, watch for local announcements.
- Follow local decisions. Rate changes usually go through a state utility commission, and many allow public comment. Showing up or sending a comment is one way to have a say.
- Trim usage where it's easy. Adjusting your thermostat, sealing drafts and using LED bulbs can lower bills over time.
This article is for education only and is not financial advice. Everyone's situation is different.
Content on The Evergreen Edit is for educational and informational purposes only and is not individualized financial, investment, tax or legal advice. Learn more.
This article is for educational purposes only and isn't personalized financial, tax or legal advice. Consider talking with a qualified professional about your situation.

Kiara Miller — Founder & Editor
Kiara Miller is the founder and editor of The Evergreen Edit. He has been doing independent finance research for two decades and reviews every article before it's published.
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