Legal Challenges Arise from AI Data Centers' Water Use
Legal challenges are emerging over water use by AI data centers.
Why it matters: These legal issues could lead to increased litigation costs and compliance demands for legal teams.
- Hyperscale data centers use 1-5 million gallons daily for cooling.
- 66% of U.S. data centers are in high water-stress regions.
- Michigan and Texas face opposition to data center water demands.
- Minnesota and Kansas enact water conservation laws for data centers.
The rapid expansion of AI technologies has led to a significant increase in water consumption by data centers, prompting legal and environmental issues. Hyperscale data centers, essential for AI operations, consume between 1 and 5 million gallons of water daily for cooling, as detailed by LexBlog.
Since 2022, approximately 66% of these centers have been established in U.S. regions experiencing high water stress, such as California, Arizona, and Texas. These locations alone have welcomed 72% of new data centers, according to DatacenterDynamics. This has resulted in increased regulatory scrutiny and local resistance.
In Saline Township, Michigan, a $14 million community benefits agreement for a proposed data center includes water conservation mandates but faces local opposition (ClickOnDetroit). Meanwhile, Elm Mott, Texas, residents contest a project that demands 15 million gallons of water daily, challenging local water resources (KWTX).
States are responding to these challenges with legislative action. Minnesota has implemented HF 16, requiring water conservation for data center permits, while Kansas provides tax incentives for water-saving practices. However, with no federal standards governing water and energy use, state measures are currently the primary legal framework addressing these issues (Stateside blog).
Yes, but: No federal standards exist for water use, creating a regulatory gap.