🤖 AI and the Environment
Training and running AI gulps electricity and water — but AI also forecasts storms and tracks disappearing forests. Weigh the real costs against the real benefits and learn to ask the smarter question
What you’ll learn
- Where AI Really LivesUnderstand that AI runs on physical computers in data centers, not inside your device.When you ask an AI a question, it travels to a data center — a large building of always-on computers — which does the work and sends back an answer. Those computers need electricity to run and a way to stay cool, and both have environmental costs.
- AI Runs on ElectricityExplain why AI uses large amounts of electricity and grasp the scale.Both training an AI and answering everyday questions run huge numbers of computers, which burn electricity. The IEA estimated the world's data centers used about 415 TWh in 2024 (~1.5% of global electricity) and could roughly double by 2030.
- AI Gets Thirsty TooUnderstand that cooling AI computers consumes fresh water.Fast computers generate heat that must be removed, and many data centers cool themselves by evaporating water. Researchers estimated that training the GPT-3 model directly evaporated roughly 700,000 liters of fresh water for cooling.
- Where the Power Comes From MattersRecognize that an AI's carbon footprint depends on its electricity source.Electricity is clean or dirty depending on how it is made: fossil fuels release carbon dioxide, while solar, wind, and hydro release almost none. Running data centers on clean power sharply lowers AI's carbon footprint even with the same computers.
- AI That Helps the PlanetGive real examples of AI helping the environment.AI can benefit the planet: Google DeepMind's GraphCast produces accurate 10-day weather forecasts in under a minute, and Global Forest Watch uses AI on satellite images to detect deforestation in near real time so people can act quickly.
- So, Is AI Good or Bad for the Planet?Weigh AI's environmental costs and benefits instead of seeking a single verdict.AI has genuine costs (electricity, water, possible carbon) and genuine benefits (disaster forecasting, forest protection). Rather than labeling it good or bad, the useful question is whether a particular use is worth its cost and how to power it more cleanly.
Questions this course answers
When you ask an AI helper a question, where is the answer actually worked out?
Your question travels to a data center full of powerful computers, which work out the answer and send it back.
About what share of the world's electricity did data centers use in 2024?
The IEA estimated data centers used around 415 TWh in 2024 — roughly 1.5% of global electricity, and rising.
Why do many data centers use water?
Computers get hot, and evaporating water carries that heat away — which uses up fresh water.
Two data centers use the same amount of electricity. Which pollutes less?
Electricity is only as clean as its source. Solar and wind release almost no carbon, so that data center pollutes far less.
How does AI help protect forests through Global Forest Watch?
AI compares new satellite images to older ones and sends fast alerts when trees suddenly disappear, so people can act.
What is the smartest way to think about AI and the environment?
AI has genuine environmental costs and genuine benefits. The useful question is whether a use is worth its cost and how to power it cleanly.
Grounded in trusted sources
- IEA — 'Energy and AI' (2025), iea.org
- 'Making AI Less Thirsty', Communications of the ACM / UC Riverside
- Google DeepMind — GraphCast, Science (2023)
- Global Forest Watch — globalforestwatch.org
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