Study: AI Systems to Roughly Match NYC's Carbon Emissions in 2025

Is AI's water use negligible compared to other industries, or an environmental crisis hidden by corporations?
Study: AI Systems to Roughly Match NYC's Carbon Emissions in 2025
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The Facts

  • According to a study published in the academic journal Patterns, AI systems could produce between 32.6 and 79.7 million tons of carbon dioxide emissions in 2025. This range is comparable to New York City's annual emissions, which total approximately 50 million tons.
  • The study by Dutch academic Alex de Vries-Gao from the VU Amsterdam Institute for Environmental Studies estimates AI water consumption could reach between 312.5 and 764.6 billion liters in 2025. This volume exceeds global annual bottled water consumption.
  • The International Energy Agency reported that AI-focused data centers draw as much electricity as aluminum smelters, and data center electricity consumption is expected to more than double by 2030. The largest AI data centers being built today will each consume as much electricity as 2 million households.

Sources Split


The Spin


Techno-optimist narrative

Data centers use far less water than other industries and everyday activities. AI accounts for just 0.008% of America's freshwater consumption while supporting hundreds of millions of daily users, generating massive tax revenue per gallon that far exceeds golf courses or steel production. The panic over AI water use is manufactured clickbait that ignores basic math and scale.

Techno-skeptic narrative

AI systems will match New York City's entire carbon footprint by 2025 and consume water equivalent to the global bottled water market's annual consumption. Data centers generate emissions comparable to driving 300 billion miles while corporations hide the true environmental costs through inadequate disclosure. Building more AI infrastructure without transparency amounts to environmental recklessness.


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© 2026 Improve the News Foundation. All rights reserved.Version 7.17.1

© 2026 Improve the News Foundation.

All rights reserved.

Version 7.17.1