Local Pushback Grows as Data Centers Expand Across the U.S.

Google faced local opposition when planning a data center in Indiana, highlighting the environmental concerns.
America’s AI industry faces big energy and environmental risks : NPR

Data Center Development Faces Local Resistance Amid AI Boom

The growth of artificial intelligence is sparking a surge in data center construction across the United States, but local communities are pushing back. Concerns over environmental impact and community disruption are fueling debates about the future of these facilities and their role in the evolving AI landscape.


Volunteers hand out yard signs in June against a data center complex in West Virginia. ULYSSE BELLIER/AFP via Getty Images/AFP

In Franklin, Indiana, Google’s plan to establish a massive data center campus hit a roadblock when local residents voiced their disapproval. The company’s proposal included rezoning over 450 acres, which sparked concerns about its impact on resources and benefits to the community. “Cheers erupted from sign-waving residents” when Google decided to withdraw its proposal, as reported by a local attorney at a public meeting.

Across the nation, similar conflicts are emerging. Companies are investing heavily in data centers to support AI models, but communities are worried about potential environmental impacts, including increased energy consumption and water use. These issues, coupled with fears about rising utility costs and community changes, are driving opposition.

Understanding Data Centers

Data centers are large facilities housing computer hardware that stores and processes digital information. They are crucial for internet functionality, with some sprawling over a million square feet. However, their significant energy consumption poses environmental challenges.

According to the International Energy Agency (IEA), a typical AI data center uses as much electricity as 100,000 homes, with larger centers requiring even more. Additionally, they consume vast amounts of water for cooling purposes, raising sustainability concerns.

The Surge in Data Center Construction

The demand for AI is driving a construction boom in data centers. Investors are banking on a future where AI technologies are integral to daily life. The global data center market is expected to see AI’s share double to 28% by 2027, according to Goldman Sachs.

Where Are These Centers Being Built?

Developers are focusing on regions like Northern Virginia’s Data Center Alley. However, areas with affordable land and renewable energy sources, such as Las Vegas, are also becoming popular. The Federal Reserve Bank of Minneapolis noted a potential data center boom in its district, covering several Midwestern states.

AI’s Advantages and Economic Implications

AI is transforming industries by automating tasks requiring human intelligence, from drug development to cybersecurity. Locating data centers in the U.S. could offer economic benefits, though some localities are sacrificing tax revenue to attract these developments. While they bring infrastructure investment, the long-term job prospects are limited, as data centers typically require minimal staffing once operational.

Challenges and Concerns

Communities are wary of the noise, light, and resource demands that accompany data centers. Water usage and electricity costs are major concerns, especially as data centers increase demand on local utilities. The IEA predicts that emissions from power plants supplying data centers could more than double by 2035.

In response, companies are exploring water-saving technologies, such as closed-loop systems and treated wastewater cooling. Despite these efforts, rising electricity bills remain a challenge. The Union of Concerned Scientists found that certain states faced substantial additional costs from power transmission projects serving data centers.

Powering the Future

Ensuring sufficient power for data centers is critical. Renewables are vital for expanding power supplies quickly and affordably, yet the Trump administration has limited their development. While natural gas and nuclear energy are essential, they cannot be deployed at the required scale to meet immediate needs.

A White House spokesperson emphasized the importance of reliable energy sources for AI, stating the administration’s focus on viable, less subsidized energy forms, like natural gas and nuclear.

Note: Google is a financial supporter of NPR.

This article was originally written by www.npr.org

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