AI is an Environmental Water and Energy Hog—Here is How You Can Counter It

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As the world scrambles to combat climate change and conserve dwindling water supplies, a hidden environmental threat is expanding right at our fingertips. Every online query powered by Artificial Intelligence (AI) deepens our ecological footprint, as it is driven by a massive network of resource-intensive data centers.

Worse yet, tech giants remain largely silent about the exact toll their systems take on the planet.

"AI is going in the opposite direction to decarbonization efforts. If you’re recycling and a vegan but then you’re using ChatGPT to do your multiplication for you, well that’s kind of against the trend."

Sasha Luccioni, Cognitive Computer Scientist & Chief Scientific Officer, Sustainable AI Group

While tech companies are increasingly forcing generative AI into everyday tools, several sustainability, water, and computing experts outline how everyday consumers can reclaim control and reduce their digital footprint.

The True Cost of an AI Query

According to a report from the United Nations University, global data centers consumed 448 trillion watt-hours of electricity last year—ranking their power use higher than all but 10 countries worldwide. That demand is projected to more than double in the next four years.

Kaveh Madani, a water scientist and director of the United Nations University Institute for Water, Environment and Health, co-authored the study and broke down the stark reality of AI consumption:

Environmental Footprint of AI Use

AI Action Electricity Equivalent Water Consumed
Single Text Response Running an efficient light bulb for 2.5 minutes Variable (multiplied by 2.5 billion daily ChatGPT queries)
Generating a Complex Video Running an efficient light bulb for 42 hours 1 gallon (4 liters)

By 2030, the electricity needed to run these data centers—excluding the immense volumes of water used directly to cool the hardware—will indirectly require 2.5 trillion gallons (9.3 trillion liters) of water. That is enough drinking water to sustain the global population for 1.7 years.

3 Ways Consumers Can Fight Back

1. Practice "AI Abstinence" for Simple Tasks

The most effective solution is the simplest: use AI less. "The cleanest form of AI use is no use," notes Madani.

Experts advise bypassing AI for basic tasks that traditional search engines or physical mediums can easily handle, such as:

  • Math calculations
  • Checking store hours or directions
  • Looking up recipes or shopping lists

When you do use AI, keep your queries concise. Providing excessive background information or being overly polite forces the system to do more computing, wasting unnecessary energy and water.

2. Opt-Out of Forced AI Features

Tech companies have initiated a "bait-and-switch," integrating AI into standard search engines without asking. However, users can actively opt-out using these methods:

  • Filter Google Searches: Append -ai to the end of your search queries, or manually click the "Web" tab in search options to get traditional results.
  • Switch Browsers: Use alternative search engines like DuckDuckGo or Startpage, which offer no-AI options. Alternatively, use Ecosia, which actively offsets carbon footprints by planting trees.

3. Leverage Consumer and Community Power

Big Tech responds to market pressure and local resistance. Ana Pinheiro Privette, a data scientist and former top sustainability official for Amazon Web Services, notes that tech corporations heavily monitor consumer sentiment. "They listen if everybody suddenly starts caring about not having a footprint," Privette says.

Furthermore, community backlash against data center placement is forcing structural changes. For context, data centers in just two Virginia counties consumed 2.1 billion gallons (8 billion liters) of water in 2023 alone.

Because data centers have become "the new boogeyman," according to Balaji Tammabattula, COO of infrastructure firm BaRupOn, developers are being forced to design more energy- and water-efficient campuses to appease local communities.

The Transparency Gap

A major hurdle to solving this crisis is the severe lack of corporate transparency. Because private AI entities rarely disclose resource metrics, scientists must rely on estimates modeled from open-source AI.

Mosharaf Chowdhury, a computer science professor at the University of Michigan who tracks open-source energy metrics, warns that a lack of disclosure strips consumers of agency: "If there’s no transparency, we have no choice."

Privette echoes the need for systemic transparency, stating that true consumer power lies in demanding to know the environmental cost of the digital products we consume.

This article is based on reporting by Seth Borenstein for the Associated Press.

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