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AI’s Growing Water and Electricity Footprint Sparks Transparency Concerns

AI Environmental Impact Data Centers Water Consumption Energy Consumption Sustainability Transparency
December 17, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Data Blindness
Media Hype 6/10
Real Impact 8/10

Article Summary

A recent study by Alex de Vries-Gao estimates the environmental impact of AI in 2025, revealing that it consumes vast amounts of energy and water – potentially as much as 32.6 to 79.7 million tons of carbon pollution annually and 312.5 to 764.6 billion liters of water. This figure surpasses even earlier projections and is driven by the proliferation of data centers housing AI systems, primarily for cooling and electricity demands. The study points to a concerning lack of transparency from tech companies, who often fail to disclose specific resource consumption data beyond broad sustainability reports. This opaque approach exacerbates the problem, as the actual environmental toll remains largely unaccounted for. The study emphasizes the water consumption of these centers—particularly linked to electricity use—as well as the reliance on power plants, which further amplifies both greenhouse gas emissions and water demands. Local opposition to new data center projects is increasing, largely fueled by concerns about water and power usage. The research underscores the urgent need for greater disclosure and accountability from the AI industry to address the rapidly growing environmental consequences of its expansion.

Key Points

  • AI’s projected energy consumption in 2025 could reach 32.6 to 79.7 million tons of carbon pollution annually, surpassing NYC's emissions.
  • AI’s water consumption is estimated to be between 312.5 and 764.6 billion liters annually, significantly exceeding previous estimates.
  • A major concern highlighted is the lack of transparency from tech companies regarding AI’s environmental impact, hindering accurate assessment and mitigation efforts.

Why It Matters

This news is critically important because it exposes a significant and growing environmental challenge posed by the rapid adoption of AI. The sheer scale of energy and water consumption, coupled with the opacity surrounding data, demands immediate attention from policymakers, investors, and the public. Understanding the true environmental cost of AI is essential for guiding responsible development, driving innovation in sustainable computing, and ensuring that the benefits of AI do not come at an unacceptable ecological price. Failure to address this issue could have far-reaching consequences for climate change mitigation and resource management.

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