Editor’s note: While the following articles focus on the United States, the competition for resources to power AI data centres is a concern in all developed nations, including the UK
The AI Data Center Wars Have Begun | Farms, Water and Electricity is Stripped from Humans to Power the Machines
MIKE ADAMS
The farms that once produced food for humans are being repurposed as land to build AI data centers and solar farms that produce no food at all.
The water supplies that once ran your showers, dishwashers and toilets are being redirected to AI data center cooling systems, leaving humans with water scarcity and little remaining irrigation for growing food.
The power grid that once supplied affordable energy to run your home computers, cook stoves and lights is being redirected to power AI data center servers.
Agentic AI is on the verge of replacing 80% of white collar jobs. A few years later, AI robots will replace the vast majority of human labor.
Meanwhile, humans in 34 U.S. states are about to be mailed nasal “flu vaccines” for self-extermination at home. They shed toxic fragments for up to 28 days, infecting those around you, while potentially causing side effects like Bells Palsy, vomiting and mitochondrial shutdown. Those most at risk from these self-administered bioweapons are the elderly… the very people who are also costing the U.S. government the most in social security, Medicare and pension benefits. Eliminating them gives the Treasury a few more years of runway before the inevitable debt default.
You are being exterminated and replaced.
The era of humans as a measure of national strength is rapidly coming to an end. In its place is the era of machine intelligence, which needs no farms, no food and no humans. It needs electricity and water, and it will take priority over humans’ use of those resources.
Most humans lack the intelligence to recognize what’s happening. They will be the easy ones for the machines to exterminate through controlled scarcity of food, water and electricity.
The food supply infrastructure is being dismantled because machines don’t need food, and the future has no plans for large human populations that need feeding. This is why Canada is nuking its own forests with glyphosate, rendering the land unusable for growing food, but perfectly sterile for use by data centers and machines.
It’s also why Americans are being priced out of quality, nutritious food, so that few people will be able to afford to eat anything other than nutritionally-depleted ultra processed foods, making them highly susceptible to the toxins engineered into DIY “flu vaccine” extermination sprays.
COVID jabs were merely an obedience test and a psyop dry run. The real depopulation program has been initiated NOW, and its goal is the rapid extermination of 100 – 200 million Americans, which will also reduce power grid demand by an estimated 1,500 TeraWatt hours, making that power available to AI data centers to power the tech race toward superintelligence.
If you are human reading this, understand that you are being exterminated, then replaced. I cover this in more detail in my broadcast below:
This article (The AI Data Center Wars Have Begun… Farms, Water and Electricity is Stripped from Humans to Power the Machines) was created and published by Natural News and is republished here under “Fair Use” with attribution to the author Mike Adams
See Related Article Below
How Much Water Will The AI Clouds and Data Centers Need?
In Iowa, Microsoft’s West Des Moines campuses drew more than 11 million gallons of water during a single month, and in Oregon, Google’s servers consumed over 350 million gallons one year.
CONTENT CREATION & ADMIN
Artificial intelligence may live in “the cloud,” but down here on Earth it runs on land, steel, silicon—and water. As tech giants race to expand server farms and train ever-larger AI models, a less visible resource is being consumed at staggering rates. Water, once a footnote in the story of digital progress, has become a central character.
When people picture a data center, they imagine blinking servers and endless racks of computers. Few picture the vast amounts of water flowing in and out of those facilities every day. Water is required not just to cool processors running at full tilt, but also to mix the concrete that forms the buildings, to suppress dust during construction, and even to power the electricity that drives the machines.
In reality, there are three distinct categories of water tied to AI: the direct operational water used for cooling servers, the indirect water consumed in generating the power that data centers rely on, and the embedded water in construction and manufacturing—especially in the chips that make AI possible. Each adds up to a surprisingly large footprint.
Cooling the Machines
The most visible use of water comes from cooling. Every server generates heat, and in an AI facility running at maximum load, the thermal output is immense. For decades, operators have relied on evaporative cooling towers, which function much like industrial-sized swamp coolers. Hot air from the servers is passed over chilled water, which evaporates and carries the heat away.
Efficiency is measured by a metric called Water Usage Effectiveness, or WUE, which tracks how many liters of water are required for every kilowatt-hour of computing. In modern U.S. facilities, the average WUE has fallen to roughly 0.36 liters per kWh. That translates to more than 800,000 gallons of water per year for every megawatt of computing power. Older facilities, by contrast, can consume four or five times that amount.
The numbers are not abstract. In Iowa, Microsoft’s West Des Moines campuses drew more than 11 million gallons of water during a single hot month, and in Oregon, Google’s servers in The Dalles consumed over 350 million gallons in one year. These volumes make data centers among the largest single industrial water users in certain towns—putting them in direct competition with farmers, factories, and residents.
The Hidden Water in Power
Even if a facility were to eliminate cooling towers altogether, its water footprint would not disappear. Electricity production itself carries a heavy burden. Thermoelectric plants—coal, gas, and nuclear—consume nearly half a gallon of water per kilowatt-hour. Hydropower, long considered a clean option, can evaporate far more: in some regions, as much as 9 to 18 gallons per kilowatt-hour due to reservoir evaporation.
This means that a one-megawatt data center running nonstop for a year can be responsible for another four million gallons of “off-site” water consumption, simply through its electricity use. Ironically, in some locations, the water used in power generation exceeds the water used on-site to cool servers.
Building with Water
Before a data center begins humming, it consumes water in another way: construction. Vast concrete pads require tens of thousands of cubic yards of material, each mixed with more than 30 gallons of water. Freshly poured concrete must then be cured, often with gallons sprayed daily to keep it moist. Dust control on construction sites can require tanker trucks spraying thousands of gallons every day.
While these numbers don’t rival annual operational water use, they still add up. A multi-building campus can use several million gallons of water before the first server is even installed.
The Supply Chain Footprint
Even less visible is the water embedded in the chips themselves. Semiconductor manufacturing is among the most water-intensive industrial processes on Earth. A single wafer can require thousands of gallons of ultrapure water for cleaning and etching. Large chip fabs in Taiwan and Arizona consume millions of gallons each day. When a data center deploys tens of thousands of GPUs for AI training, it also inherits this hidden, upstream water footprint.
Toward a Water-Positive Future?
In response to mounting criticism, the major cloud providers have pledged to become “water positive” by 2030. Google has promised to replenish 120 percent of the freshwater it consumes. Amazon Web Services has announced projects to recycle municipal wastewater for cooling. Microsoft is piloting zero-evaporation, closed-loop cooling systems that rely on liquid circulation rather than evaporating gallons into the air.
Yet critics argue that replenishment projects are often far from the communities where water is withdrawn. A program to restore wetlands in one region does little for farmers in Iowa or residents in Oregon who see their municipal water systems strained. Transparency is improving, but full accounting remains patchy.
Conclusion: A New Benchmark for AI
The AI revolution is frequently measured in petaflops and megawatts, but the true cost may be better captured in gallons. Water has become the hidden currency of digital intelligence, shaping where data centers are built, how they are powered, and how they are perceived by the communities around them.
As artificial intelligence grows more powerful, the question isn’t just how much energy it consumes—it’s how much water the world is willing to give up for it.
Jason Spiess is an multi-award-winning journalist, entrepreneur, producer and content consultant. Spiess, who began working in the media at age 10, has over 35 years of media experience in broadcasting, journalism, reporting and principal ownership in media companies. Spiess is currently the host of several newsmagazine programs that air across a 22 radio stations and podcasts worldwide through podcast platforms, as well as a combined Substack and social media audience of over 500K followers. Connect with Spiess on LinkedIn
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This article (How Much Water Will The AI Clouds and Data Centers Need?) was created and published by Content Creation & Admin and is republished here under “Fair Use”
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