AI Water Use Rivals Bottled Water Industry, Study Finds
AI workloads drive data center electricity use to 20% in 2024, with emissions near 182 million tons of CO2 and water use reaching 560 billion liters, IEA reports.
- AI water use rivals bottled water industry, with the IEA estimating global data centers consumed 560 billion L of water in 2023 and generated 182 million tons of CO2 in 2024, according to a study.
- Environmental reports reveal annual environmental reports vary in scope and availability, and selected tech companies disclose limited water metrics, making AI-specific impact attribution infeasible.
- Company-Level figures indicate total direct water consumption of 55.8 billion L and a weighted average of 0.59 L per kWh for indirect water consumption in 2024CY.
- Modelled scenarios indicate AI systems could emit 32.6–79.7 million tons of CO2 in 2025, major firms warn AI demand strains sustainability, and researchers face limits without granular data.
- Because grid intensity varies, regional power grids have carbon intensities from 0.17 to 0.46 tCO2/MWh and the set of reporting companies consume 97.8 TWh, with an IEA implied WUE of 0.56 L/kWh.
15 Articles
15 Articles
Responding to the climate impact of generative AI
MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence.
Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA - Nature Sustainability
The rapidly increasing demand for generative artificial intelligence (AI) models requires extensive server installation with sustainability implications in terms of the compound energy–water–climate impacts. Here we show that the deployment of AI servers across the United States could generate an annual water footprint ranging from 731 to 1,125 million m3 and additional annual carbon emissions from 24 to 44 Mt CO2-equivalent between 2024 and 203…
Coverage Details
Bias Distribution
- 60% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium




