Data Center Water NDAs Hide AI Impact on the Great Lakes

Artificial intelligence needs huge data centers to work. These buildings use millions of gallons of fresh water every day to cool their servers. Tech companies often use Non-Disclosure Agreements (NDAs) to hide this water use. Local communities, especially near the Great Lakes, cannot see the true environmental cost of AI.

The Thirst of AI Data Centers

AI models handle huge amounts of data. All that computing creates intense heat inside server racks. Large cooling towers prevent equipment from overheating, but they evaporate millions of gallons of fresh water every day.

According to Li et al. (2023) in their paper “Making AI Less Thirsty”, data centers could use over one trillion gallons of fresh water each year. AI use keeps growing, and so does that demand. The scale of this problem is enormous.

What Are Water NDAs?

When tech companies build data centers, they talk with local utilities and government officials. Companies often ask those officials to sign NDAs. These legal agreements limit what the public can learn about water use.

• Hidden Consumption: NDAs stop towns from sharing water usage numbers with the public. Residents who ask how much water a nearby facility uses often get no answer. This makes it very hard for communities to hold companies accountable.
• Trade Secret Claims: Companies say that sharing water data reveals their hardware secrets to competitors. They call consumption figures private business information, not a public concern. Critics say this puts corporate privacy ahead of community rights.
• Public Blind Spots: Citizens cannot see how much public water private companies actually use. Without that data, local governments struggle to plan for future water needs. A growing gap forms between what companies know and what the public can access.

Impact on the Great Lakes

The Great Lakes hold about 21% of the world’s fresh surface water, according to the U.S. Environmental Protection Agency. That makes the region a top target for new AI data centers. Companies see the Great Lakes as a steady, long-term water source.

This fast growth creates hidden risks for the region.

• Ecosystem Stress: Large water withdrawals can harm local watersheds and lower water tables. Fish habitats and wetlands need stable water levels to survive. When consumption data stays hidden, this damage can go unnoticed for years.
• Planning Failures: Communities cannot prepare for droughts without accurate water use data. Local water managers need real numbers to make smart decisions. NDAs take that information away from the planning process.
• Scientific Blind Spots: Scientists need exact withdrawal rates to measure environmental damage. Without solid data, researchers cannot build accurate models of how data centers affect water supplies. This slows down the policy changes that communities need.

The Push for Transparency

Citizens and environmental groups want water NDAs to end. They argue that public resources need public oversight. Companies should not hide their water use behind legal agreements. This pressure is reaching lawmakers at the state and federal level.

Lawmakers in several states are writing new rules to force tech companies to report water use publicly. The U.S. Geological Survey (USGS) says accurate data is key to managing water well. Without reliable numbers, regulators cannot protect communities and ecosystems.

Some tech companies have promised to use water more efficiently. Critics say voluntary promises are not enough. Real accountability requires hard numbers that anyone can see and check.

Summary

AI data centers use massive amounts of fresh water to cool their servers. Tech companies use NDAs to keep exact usage numbers hidden from the public. This secrecy puts the Great Lakes region at risk by hiding the true cost of AI growth. Communities and regulators are pushing for strong transparency laws to protect local water supplies before the harm becomes permanent.