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Water levels across the Great Lakes are falling – just as...
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Water levels across the Great Lakes are falling – just as US data centers move in

Essential brief

Water levels across the Great Lakes are falling – just as US data centers move in

Key facts

Water levels in the Great Lakes have dropped 2-4 feet since 2019, exacerbating drought concerns.
New large data centers near the Great Lakes consume vast amounts of water for cooling, intensifying local water stress.
Communities are divided, with some opposing data centers due to environmental and water concerns, while others welcome economic benefits.
Legal battles have emerged as data center companies sometimes override local opposition to build facilities.
Balancing technological growth with sustainable water management is critical for the Great Lakes region’s future.

Highlights

Water levels in the Great Lakes have dropped 2-4 feet since 2019, exacerbating drought concerns.
New large data centers near the Great Lakes consume vast amounts of water for cooling, intensifying local water stress.
Communities are divided, with some opposing data centers due to environmental and water concerns, while others welcome economic benefits.
Legal battles have emerged as data center companies sometimes override local opposition to build facilities.

The Great Lakes region, home to the largest freshwater system on the planet, is facing a significant challenge as water levels across all five lakes have been dropping steadily since 2019, with decreases of two to four feet recorded.

This decline, while partly natural following record highs, coincides with a surge in the construction of large data centers that demand substantial water resources for cooling and operations.

For example, in Ohio, Aligned Data Centers broke ground on a massive 200,000 sq ft facility near farmland, raising concerns among local farmers about water availability.

Although some data centers use closed-loop, air-cooled systems to reduce water use, the energy-intensive processes like AI and machine learning still require considerable water for cooling.

In Wisconsin, Microsoft's upcoming AI data center is expected to consume up to 8.4 billion gallons of municipal water annually, sourced from Lake Michigan.

Similar projects by AWS and others are planned near the Great Lakes, intensifying pressure on local water supplies.

Local communities, often small and under-resourced, are increasingly voicing opposition due to fears of environmental impact, water depletion, and pollution.

In some cases, residents have successfully halted data center projects, such as in Fife Lake, Michigan.

However, data center companies have also used legal means to override local resistance, as seen in Saline Township, Michigan, where OpenAI and Oracle pushed forward despite community objections.

While proponents argue these facilities bring jobs, investment, and infrastructure improvements, critics highlight risks including water pollution, increased evaporation, and strain on municipal water systems.

The Great Lakes Compact restricts water use to within the basin, but the cumulative impact of these energy-hungry data centers on water resources remains a growing concern.

The tension underscores the complex balance between technological growth and environmental sustainability in a region already grappling with climate-driven water challenges.