Midterms 2026: Georgians on the front lines of the people’s war against data centres

Project Sail is a proposed hyperscale data centre in Coweta County, Georgia. The $17 billion project would transform an 800-acre tract beside local homes. Residents are campaigning against it because they fear their rural area will become an industrial district. They also question whether business gains outweigh community concerns.

Ron Bockrath has organised collectives, gathered petition signatures and filed lawsuits against the project. Yard signs demand protection for Coweta and oppose industrial zoning. The campaign followed a narrow 3-2 county vote to change the area from a rural conservation district to an industrial area.

The wider opposition reflects concerns about rising electricity bills, water use, environmental hazards and global warming. It also reflects anger that wealthy technology and finance interests may profit while residents face a cost-of-living crisis. Wilhemina and Quilliam Barber, whose property borders the site, expect dramatic changes if construction proceeds.

A hyperscale data centre is a very large facility designed to operate and expand many computing systems at once. It houses servers, storage equipment and networking hardware. AI depends on this infrastructure because training models and answering users’ requests require enormous numbers of calculations and rapid access to data.

Project Sail illustrates the scale involved. Its plan includes 13 buildings, each covering 378,000 square feet. Together, they would provide more than 4.9 million square feet for computing equipment and supporting systems. The project is estimated to require about 900 megawatts of electricity and 9 million gallons of water.

That infrastructure makes AI services available, but it also connects digital growth to local resources. Communities must consider whether power networks, water supplies and residents can absorb the effects. Georgia’s data-centre boom has therefore turned a technical issue into a highly visible political and environmental conflict.

Project Sail is unusually large even among major infrastructure projects. The planned hyperscale data centre would occupy an 800-acre tract in Coweta County, Georgia. County filings describe 13 buildings, each covering 378,000 square feet. Their combined footprint would exceed 4.9 million square feet.

The project’s resource demands are similarly striking. It is estimated to require roughly 900 megawatts of electricity and 9 million gallons of water. Electricity would power the computing equipment and supporting systems. Water would be needed for cooling, which helps prevent densely packed equipment from overheating.

Those figures explain why the project has become a local political flashpoint. Residents are not only discussing buildings and land use. They are weighing possible pressure on utility systems and water resources against the project’s promised business activity. The scale has helped unite people across party lines in opposition to data centres.

Georgia became the leading US market for data-centre construction as a technology boom grew around Atlanta. The city describes itself as the capital of the “New South,” and the article links its expanding technological economy to the state’s rising importance. Georgia has overtaken Northern Virginia in data-centre construction.

The article does not identify one single cause, such as a specific tax policy or energy advantage. Instead, it presents Georgia’s growing technology sector and Atlanta’s regional prominence as the central background. That expansion has brought large projects into rural, urban and semi-urban communities.

The result is a statewide conflict over how growth should happen. Data centres promise business activity, but residents worry about electricity costs, environmental hazards, water use and climate effects. Georgia’s leading market position has therefore made it a front line in the national debate over AI infrastructure and community control.

Large data centres can affect residents through both household costs and changes to local resources. The article identifies rising electricity bills, environmental hazards and impacts on global warming as central concerns. Communities may also lose rural landscapes when farmland or conservation areas become industrial zones.

Project Sail shows the mechanism clearly. It is estimated to need roughly 900 megawatts of electricity and 9 million gallons of water. Such demand can place pressure on utility systems and water supplies, potentially affecting prices or availability. The article does not quantify any actual bill increases or water shortages.

These risks have made opposition unusually broad. Democrats and Republicans are joining campaigns because concerns cross traditional party lines. Residents are also questioning whether millionaires, billionaires, technology leaders and financiers will gain more than communities facing the costs. The project’s outcome could shape how other Georgia communities judge future data-centre proposals.

Local county commissioners can shape a project through land-use and zoning decisions. In Coweta County, commissioners approved changing the area from a rural conservation district to an industrial area by a narrow 3-2 vote. That decision enabled the zoning framework needed for the proposed data centre, while residents continue trying to influence the project.

Ron Bockrath’s campaign uses several tools at once. He has organised collectives, collected petition signatures and filed lawsuits. He and other residents have also attended packed commission meetings and displayed yard signs opposing industrial zoning and the data centre. These actions bring public pressure and legal challenges together.

The article does not state that residents have blocked Project Sail. It shows an ongoing struggle in which local officials, developers and communities contest the project’s future. Similar campaigns across the US are making data centres a major midterm issue and forcing candidates to take positions on local development and AI infrastructure.

Training AI involves processing huge amounts of data through complex mathematical operations. Once trained, systems still need computing power to answer users, analyse information or generate content. The more demanding the model and the more people using it, the more servers must work continuously. This explanation draws on established computing knowledge; the article mainly highlights the resulting infrastructure demands.

Servers use electricity and release heat while operating. Data centres therefore need cooling systems to keep equipment functioning, and water can be part of that cooling process. Project Sail is estimated to require roughly 900 megawatts of electricity and 9 million gallons of water, showing how digital services become physical infrastructure.

These demands matter because data centres are built in specific communities, not in an abstract online space. Their power and water needs can affect utility bills, local supplies and environmental concerns. As AI expands, communities and officials face difficult decisions about whether growth justifies those local costs.