Meta funds wastewater upgrades for AI data center cooling
Reported by TechCrunch AI: OK, can we actually cool data centers with our pee?. Analysis and context written by TickrWire.
Meta announced a $270 million investment in wastewater infrastructure to supply recycled water for cooling its AI data centers, highlighting a broader industry shift toward non‑potable water sources.

- Meta pledged $270 million to fund wastewater treatment near its AI data centers.
- Recycled water currently supplies 43 percent of Loudoun County data‑center cooling, with the rest still from drinking water.
- Using treated wastewater reduces strain on potable supplies but requires nearby treatment infrastructure.
- Legislative proposals aim to offer a 30 percent tax credit for industries scaling recycled‑water systems.
- Public concern over data‑center water use is rising, influencing corporate sustainability strategies.
Liquid Death, the canned water brand, sparked a tongue‑in‑cheek conversation about using human urine to cool data centers when former NFL star Jason Kelce appeared in a viral commercial urging people to "pee on computers" to save water. While the joke was meant for laughs, it inadvertently touched on a genuine sustainability challenge: AI‑driven data centers consume massive volumes of water for cooling, and the industry is actively seeking alternatives to potable supplies.
Data centers typically rely on evaporative cooling, where water absorbs heat from hot air and evaporates, carrying the heat away. This process can demand millions of gallons of water each day. In Loudoun County, Virginia – a hub for more than 250 data centers – the facilities collectively used about 200 million gallons of recycled water daily in 2025, which represented only 43 percent of their total water consumption. The remaining 57 percent, roughly 260 million gallons, still came from drinking‑water sources, according to Loudoun Water. To bridge this gap, companies are turning to treated wastewater, which undergoes membrane bioreactors, reverse osmosis, ultraviolet disinfection and other steps to become safe for industrial use, and in some cases even potable.
The shift toward recycled water is driven by the growing footprint of AI workloads that require ever‑larger server farms. As AI models become more compute‑intensive, the heat they generate rises, pushing cooling demands higher. Traditional cooling towers that draw from municipal supplies strain local water resources, especially in arid regions. By sourcing water from treatment plants, data centers can reduce their impact on drinking‑water supplies and lower operating costs, provided the necessary infrastructure exists nearby.
Recycled water cooling is not new to other heavy‑industry sectors such as power generation and manufacturing, but its adoption in the tech world has accelerated in the past decade. Companies like Google and Microsoft have long experimented with non‑potable water sources, and now Meta is stepping up with a public commitment of at least $270 million to build or upgrade wastewater treatment facilities close to its AI data centers. This investment follows Meta’s broader $4 billion quarterly loss in its Reality Labs division, indicating a strategic pivot toward sustainability as a cost‑saving and public‑relations lever.
Despite the promise, several hurdles remain. Effective use of recycled water requires proximity to large treatment plants capable of handling the volume needed for cooling. Rural data‑center sites often lack such facilities, meaning new pipelines and treatment capacity must be constructed, a process that can take years. Moreover, while treated wastewater is safe for industrial cooling, raw urine contains salts, urea and organic matter that could cause mineral buildup in cooling towers, necessitating regular cleaning and monitoring. Scaling the technology to handle the sheer scale of AI data centers therefore involves significant capital outlays and operational expertise.
Policy makers are also weighing in. Bruno Pigott of the Water Reuse Association is lobbying for a 30 percent tax credit to accelerate the rollout of recycled‑water infrastructure for industrial users. If enacted, such incentives could lower the financial barrier for data‑center operators and spur faster adoption. Meanwhile, public sentiment is increasingly sensitive to the environmental footprint of AI, with a recent Gallup poll showing that seven out of ten Americans oppose new data‑center projects in their neighborhoods. Campaigns like Liquid Death’s, however crude, help keep the conversation alive and may pressure tech firms to demonstrate tangible sustainability actions.
Looking ahead, the industry will watch for the outcomes of Meta’s investment and any legislative incentives that emerge. Successful deployment of large‑scale wastewater treatment near data centers could set a template for other AI‑heavy companies, turning data centers into anchors for regional water‑reuse infrastructure. Observers should monitor the rollout timelines, cost metrics, and any regulatory changes that could either accelerate or hinder the transition from potable to recycled water for cooling.
Large capital commitments signal a shift toward sustainable infrastructure in the AI sector.
Understanding water‑reuse helps the public gauge the environmental impact of AI services.
- Evaporative cooling
- A method that uses water evaporation to remove heat from air passing over equipment.
- Membrane bioreactor
- A wastewater treatment technology that combines a membrane filter with a biological reactor.
- Reverse osmosis
- A filtration process that forces water through a semi‑permeable membrane to remove contaminants.
AI bias estimate: The source frames the issue with humor and emphasizes a marketing stunt, which may downplay technical challenges. (Automated estimate, not a definitive judgement.)
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