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One ChatGPT query uses 10 times more energy than a Google search, equivalent to running a 5-watt LED for an hour. Creating an AI image consumes the same energy as charging a smartphone. Data centers built for AI are experiencing soaring emissions. In 2019, training one large language model was estimated to produce as much CO2 as five gas-powered cars over their entire lifespan. The aging power grid is struggling to support the energy demands of AI.

Experts have warned of a coming water crisis, possibly already spurring conflicts due to scarcity. While Earth appears to be a blue planet, 98% of its water is saline, with much of the fresh water locked in glaciers. The available fresh water is unevenly distributed, and reservoirs are being depleted. Big Tech's growing demand for water is exacerbating the problem, though this is intentionally kept secret. The speaker investigated Big Tech's water consumption and its potential disastrous consequences. This video you are watching is brought to you by water. Data centers, which host massive amounts of data, require vast amounts of water for cooling. An average data center consumes up to 5 million gallons of water daily, equivalent to the usage of 50,000 people in an American city.

An environmental lawsuit was just filed against the city of Lakeville over a potential hidden data center. Not to mention this is being built right next to Lakeville South High School. The Minnesota Center for Environmental Advocacy claims that the city violated state environmental law by conducting a review of a 1,360,000 square foot development without disclosing it's likely a data center. This matters because data centers have unique environmental impacts. The lawsuit points to 2,500,000 gallons of daily water use, noises from computers and ventilation, and a developer specializing in data centers as evidence that the city knew what this really was. MCEA wants the court to halt all development and require a full environmental impact statement.

The state of Louisiana has rolled out the red carpet for Meta and this data center. It's one of the biggest data centers on the planet. The site could fit 173 superdomes. It'll use enough electricity to power 2,000,000 homes. And Meta is only sharing in the costs for the first fifteen years of its operation. The majority of the details are being kept secret, meaning this very well could fuel higher electric bills for decades to come. The fourth wave of exploitation will be in your water and will come from your wallet. This is not a good deal for Louisiana, and it's not a good deal for anyone except Entergy and Meta. The first thing we can do is build understanding.

Big Tech companies often don't report off-site water usage, but Google, Microsoft, and Meta already withdraw as much water as two Denmarks combined through on-site and off-site operations. AI is projected to withdraw up to six Denmarks of water annually in three years. OpenAI's Sam Altman acknowledges AI's energy demand has surpassed expectations, potentially causing an energy crisis. Data centers consume water on-site for cooling and off-site for electricity generation. Manufacturing devices also requires vast amounts of water, especially in semiconductor plants that use millions of liters daily for cooling and ultra-pure water production. Water consumption numbers from these plants are obscure, but estimated to be immense. Water recycling could reduce usage, but isn't widely adopted. Discharged water from semiconductor plants is toxic, polluting local water resources. Mining is potentially the largest scope of water consumption.

Meta is building a two gigawatt data center in Mansfield, Georgia, a facility so large it could cover a significant part of Manhattan. These data centers power AI tools but come with costs, including environmental impacts and strain on the power grid. Residents Beverly and Jeff Morris, whose home is less than 400 yards from the data center, are experiencing issues with their water quality, including sediment. They feel overwhelmed by the infrastructure changes and believe Meta should be responsible for the costs, such as replacing fixtures and lines. Data centers are considered a "hot item," and this supercomputer is built to power Grok. The question is posed: What is the true cost of the AI revolution, and who should be paying for it?

Cloud providers are investing heavily in data centers to support AI. Microsoft, Meta, Google, and Amazon collectively spent $125 billion on data centers in 2024. These data centers require increasing power to train and operate AI models. Data center power demand is projected to rise by 15-20% annually through 2030 in the US due to the AI boom. The average data center, around 100 megawatts, consumes the equivalent energy of 100,000 US households.

Data centers use vast amounts of water for cooling, with an average center consuming up to 5,000,000 gallons daily. In 2022, Google, Facebook, and Microsoft used 1,500,000,000,000 liters for on-site cooling, and this usage is increasing, driven by AI; training GPT-3 evaporated 700,000 liters of water in Microsoft data centers. Data centers evaporate one to nine liters of water per kilowatt hour of server energy. Big Tech has allegedly concealed this information, treating water withdrawals as trade secrets, sometimes using shell companies. While they report direct cooling water consumption, they often omit the larger off-site water usage. In the US, 73% of electricity comes from thermoelectric plants that use water for steam and cooling, adding 3.1 liters of water consumption and up to 43.8 liters of withdrawal per kilowatt hour. Google, Microsoft, and Meta's combined water usage equals that of two Denmarks.

All of these stories from across the US are incredibly encouraging. The series demonstrates that what technocracy spells is a very dark future—one where you can’t escape the eyes of big brother and AI spying on you twenty-four seven, controlling every aspect of your life. Digital currency and CBDCs are part of this vision, signaling a dystopian future. But we’re not against AI or innovation; we understand data centers are needed. The concern is the aggressive nature of the biggest players and the direction they want to take humanity. What these communities have demonstrated is that we have the right to protect where we live and those around us. If you want to build this infrastructure, do it on shorelines, set up your own desalination, and don’t touch our water. Figure out your own energy costs. Promises that data centers will cover a portion of their energy costs can be changed at any moment, so don’t fall for those assurances. The predator billionaire class companies, many with ties to Epstein, supposedly don’t care about us or our communities; they don’t care about protecting humanity. They care about building their technocracy—the endgame of Elon Musk’s grandfather’s vision for how the world should be run. We still have the power to say no and protect our local communities. No flock cameras. No data centers. We will remain untouched. If you want to build your dystopia, you can figure it out on your own elsewhere, away from these communities. This stance is actively affecting their plans. We applaud these communities and hope the last part of this series reminds people that they are not powerless. One woman organized an entire town and stopped that agenda in her town, and it is wonderful to see. Every one of us can do our part. If we understand the agenda and the endgame— which was the point of this series— we have the motivation to act.

The transcript covers a wave of community pushback against surveillance and data-center developments, highlighting how residents are challenging authorities and big tech projects in their towns. - Surveillance cameras (Flock) controversy: The piece opens with cases suggesting that what’s marketed as public safety can be misused. A poster mentions Brandon Upchurch, whose license plate 7 was misread as 2 by flock cameras, leading to a police stop at gunpoint, a K-9 release, an arrest, and jail for a crime that didn’t exist. Andrew Kaufman notes flock cameras are being destroyed so fast that police in Kentucky are withholding their locations after the devices were released and promptly destroyed. The argument is that communities don’t want to be monitored and should have right to privacy; Flock cameras are going up across towns often without public input. In Pine Plains, New York, a resident saw a flock contractor install 12 cameras without town-board approval; the cameras were not installed, but the incident exposed contract-authorization confusion. The takeaway is to stay vigilant, talk to neighbors, attend town meetings, and make clear that surveillance is not desired. - Data centers: widespread, rapid pushback across multiple communities. The broader thrust is that communities are resisting data centers due to concerns about power, water use, land, privacy, and local impacts. - Utah – Provo data center rejection: Robert Bryce reports that Provo, Utah rejected a data center project, citing no city interest and concerns about power demand. He notes 53 data-center rejections or restrictions in the U.S. in 2026 so far (more than all of 2025). The proposed load was initially five megawatts, potentially up to 50 megawatts, which would strain the Utah Municipal Power Agency’s 415-megawatt capacity. - Additional examples of pushback: A video from New Jersey shows hundreds of New Brunswick residents celebrating a protest that led to the plans being canceled. Stark County, Indiana, enacted a twelve-month moratorium on data-center construction after sustained community pressure; a public meeting featured residents opposing the project and some calling for a total ban. Northwest Indiana residents voiced alarm about Big Tech’s data-center incursions and the AI agenda, arguing it would not benefit them and would affect electricity costs. In several counties (Indiana, Georgia, Missouri, Illinois, and beyond), moratorium measures or restrictions were adopted to pause or ban new proposals, with claims that capacity issues and local concerns justify stopping projects. - Apex, North Carolina: Over 100 Apex residents packed a town hall to oppose a data center proposal, citing strained power grid, massive water usage, wildlife disruption, and industrial noise. A community organizer, Melissa Ripper, led the Protect Wake County Coalition; Natelli Investment withdrew its applications, described as a “small victory.” - Tucson: Community members organized to reject a data center proposed by Amazon, citing drought and water-use concerns; the video emphasizes that Tucson became the first city to reject a massive data center proposal due to a large local uprising and distrust of assurances about water reclamation. - Kentucky landowners’ stand against offers: Ida Huddleston and her daughter Delsia Bear rejected multimillion-dollar offers from an anonymous tech company to build a data center on their land. Huddleston declined $60,000 per acre for 71 acres; Bear declined $48,000 per acre for 463 acres. The company behind the project has not been revealed, which adds to residents’ concerns about transparency. The proposed site is Big Pond Pike in Mason County, with claims the project would create 400 full-time jobs and more than 1,500 construction jobs, though Bear says many jobs may not materialize. - Closing sentiment: The speaker argues that “they simply cannot pull the wool over the eyes of a country folk,” noting the daughter’s rejection of $22,000,000 and Ida Huddleston’s insistence on staying put to protect her community, underscoring a broader theme of local resilience and community solidarity against large-scale, opaque projects.

Speaker 0 discusses the public misunderstanding of what it means for humans to integrate with AI, noting that many imagine only using chatbots more, but the concept is a mixed reality existence where it’s hard to distinguish digital from real. They reference documents describing a future where people won’t leave their lounge rooms, with loved ones appearing as holograms and the sensation of hugging them in the skin, including dopamine and endorphin release, even though the contact is with a hologram. This is presented as part of a broader push into a digital world since COVID. Speaker 1 responds by connecting this to the idea of a societal digital nervous system, where everything is based on electricity and emotions, and life is governed by electrical processes like fight or flight. They describe a state-run institution in which AI would be the teacher, and emphasize that the spectrum of digital integration would form a pervasive nervous-system-like infrastructure. Speaker 0 calls the future horrific to contemplate and points to aggressive data-center expansion, NDAs shielding big tech from communities, aquifers being drained, and people losing access to water. They argue the situation will worsen as the push continues. Speaker 1 adds that the flooding in Texas highlighted the strategic importance of the Edward Aquifer and notes that many natural underground water stores are being taken over by the Army Corps of Engineers, the Department of Energy, and the Department of Commerce, with involvement from the Interior and State Department. They describe a broader pattern of resource control, mentioning the Tennessee Valley Authority and the involvement of the Department of Defense and the Army Corps of Engineers in a large-scale, fifteen-minute city grid, including water resources and nuclear power being confiscated. Speaker 0 warns that declaring national security needs could justify eminent domain, a notion Sam Altman has suggested in relation to AI, and asserts that this would normalize the appropriation of resources. They argue this is why legislative action is needed to protect communities and prevent such takeovers. The discussion expands to concerns about water poisoning through data-center pollution, EMF exposure, noise, health impacts, and other environmental harms accompanying the data-center push. Speaker 1 concludes by offering a personal course of action: a heartfelt recommendation to pray and to build a relationship with Jesus, stressing the importance of prayer and faith in navigating these concerns.

The IT industry relies on minerals like lithium and cobalt, and their extraction consumes massive amounts of water, causing pollution. As ore quality decreases and demand increases, extraction practices become more aggressive. The global demand for lithium is projected to rise 40 times by 2040. Disruptions like floods and droughts are forcing mining plants and factories to shut down. Big tech data centers, often located in drought-stricken regions due to incentives, are increasing pressure on water levels, leading to conflict with farmers and local communities. Big tech is competing for water with agriculture, which accounts for 70% of human water usage. The relentless push for AI adoption will multiply water consumption and energy demand, despite AI not being sustainable. AI-assisted searches consume up to five times more energy than conventional searches. Those pushing for AI adoption are often those who have invested heavily in it.

Because the plan is to cover the whole planet with this to produce enough power for these data centers. I don't think this is really a one for one swap on the positive side for humanity to cover our entire planet with this to to divert power when there's so many other ways to do it, you know? We can't get clean coal technologies. Only pure spring water slash artesian water slash deep well water punching into aquifers will work. So the call is once they get the electrification route from Eritrea, Ethiopia down through Tanzania, you're gonna watch a bunch of AI data centers pop up along there and they're gonna tap all those sandstone aquifers beneath to get that water. No data center left behind.