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Suggests hyperscalers like Google convert golf courses into public parks for birdwatching to offset data center water use.
A tweet highlights a Wall Street Journal article that notes data centers' indirect water use—from power plants supplying their electricity—is far greater than direct water use, drawing a parallel to the 'excess deaths' concept.
Mark Andreessen comments on anti-data center sentiments in the US, calling claims about excessive water use "completely fake" and factually untrue.
A UN report reveals that by 2030, AI data centers could consume water equivalent to the basic annual needs of 1.3 billion people, with 80-90% of energy used for daily operations rather than training. Generating a single AI image uses over 1000 times more energy than a basic text task.
NVIDIA highlights a statistic from the Manhattan Institute showing that data centers account for only 0.2% of daily U.S. water usage, a figure that has declined in recent years due to new technologies.
Elon Musk reacts to NVIDIA's claim that data center water usage is only 0.2% of daily US water usage and decreasing.
Proposes using desalination integrated with data center water cooling systems to address water usage concerns, with the resulting fresh water added to municipal supplies.
While AI data centers' water use is negligible globally, they can significantly strain local water supplies in specific regions, prompting tech companies like Amazon and Google to improve efficiency and fund water replenishment projects.
Amazon reported that its global data centers consumed 2.5 billion gallons of water in 2025, a 2% drop from 2024, amid growing concerns over water and energy use for AI infrastructure. The company claims higher efficiency than some rivals like Microsoft, Google, and Meta.
This article questions the sustainability of large-scale AI datacenters, discussing water and energy demands, and evaluating potential solutions like orbital datacenters and efficiency improvements.
Kevin O'Leary's massive Utah data center project was cut 50% after intense local backlash over water usage and environmental concerns; O'Leary acknowledges mistakes and promises transparency.
Kevin O'Leary agreed to reduce his planned 40,000-acre Project Stratos data center in Utah by roughly half, following pressure from residents, activists, and state officials. The downsized project will still cover approximately 20,000 acres, larger than Manhattan.
Tech giants including Microsoft, OpenAI, Oracle, and Google are adopting different strategies to address data center water consumption, with some moving away from evaporative cooling entirely while Google takes a more nuanced, site-specific approach backed by hydrological assessments and water replenishment pledges.
An academic study presented at the Americas Conference on Information Systems maps five systemic tensions from AI's data-centre boom, including energy paradox, water strain, hyperscaler dominance, sovereignty erosion and urban displacement, highlighting the growing environmental and social costs.
Data center operators are grappling with water scarcity issues, with tech companies like Google, Microsoft, and OpenAI pledging to reduce water consumption through alternative cooling methods and water replenishment initiatives.
This article questions why data centers use fresh water and suggests that coolant water could be recycled and cooled underground, similar to automotive systems, to reduce water consumption.
This article compares the electricity, water, and noise consumption of AI data centers to other American industries and everyday activities, using data from various sources to contextualize the resource use of data centers.
A tweet criticizes People magazine for republishing a debunked story about a data center consuming vast amounts of water, causing low water pressure for Georgia residents.
Florida Governor Ron DeSantis signed a law imposing restrictions on large data centers to protect residents from rising water and energy costs.