Forum Moderators: wheatpenny, Lobo3433
The Break Room F.A.Q (Last Updated: 2026 May 21 9:57 pm)
Many corporations are increasingly using AI without regulations and forethought of environmental impact. The average American will be paying for it in the long run. Higher electric and water bills will be the future trend, and very little permanent work will be generated as the systems become more automated and self-reliant. It does bother me, and I try not to be too dependent on it.
Well, we hardly can do anything about the big ones, but we can do something on our limited base :)
Just stop using AI, this will help a lot, save water and electricity and so much more.
So maybe we can still afford replacement part for our PC or even buy a new PC without getting bankrupt and for sure, helping mother nature :)
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I think, everyone here wanna protect our nature and don't you worry, I won't start any stupid useless discussion about climate or such.
But if you PRO AI, I just ask you to read this:
AI's resource demands are substantial and growing rapidly, driven by the energy-intensive nature of training and running large models in data centers.
Electricity: AI servers consume vast amounts of electricity—300 terawatt-hours (TWh) annually by 2028 in the U.S., enough to power over 28 million households. This represents a threefold increase from 2023 levels, with AI-specific electricity use projected to grow 150-fold from 2017 to 2028. A single large AI data center can use as much power as 100,000 homes.
Water: Cooling AI servers is extremely water-intensive. The U.S. could require up to 720 billion gallons of water annually just for cooling by 2028—equivalent to the annual indoor water needs of 18.5 million households. This includes 1.3 to 2.4 gallons of water per kWh of energy used for cooling. Some data centers, like those in Phoenix, use about 385 million gallons per year for cooling alone, not including water used to generate electricity.
Other Resources:
Cooling systems rely on fresh, treated water to prevent bacterial growth and blockages; Google-owned centers discharge only 20% of withdrawn water, with the rest lost to evaporation.
Supply chains for AI hardware (e.g., GPUs, microchips) require 8–10 liters of water per chip for manufacturing.
Fossil fuel-powered electricity amplifies water use and carbon emissions, as thermoelectric power plants consume significant water for cooling.
Land and minerals: Data centers require large land areas and rely on rare earth elements and metals, often mined unsustainably.
Key Insight: While a single ChatGPT query uses only ~0.32 milliliters of water (about 1/15th of a teaspoon), the cumulative impact across billions of queries is immense. The environmental cost is especially high in water-stressed regions like Arizona and the Southwest, where data centers compete with agriculture and communities for limited water supplies.
AI’s resource footprint—especially electricity and water—is not negligible, and current growth trends threaten climate goals, water security, and energy infrastructure.
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My question:
Do you still think it's ok to use AI?
Really?