Skip to content

Source library

255 sources cited by the hub, each read in the original document. For each one, the content that uses it. How we choose them is described in our methodology.

Institution 23Scientific study 11Company 9Association 6Dataset 6Press 2Other, no entry 19
The canonical reference

A single format for all sources, and a stable number: the one used in the hub's citations.

[14]stable number Elsworth et al. (Google),authors (publisher) Measuring the environmental impact of delivering AI at Google scale,title August 2025.date arxiv.org/abs/2508.15734link to the document

In the text:Google measures 0.26 mL for one question to Gemini [14] : the water evaporated to cool its data centres.

The structure
By topicBy typeMost cited
Water9 sources
Institution 2
1IEA, Energy and AI, April 20257
56Sispea (Office français de la biodiversité), report on water services, 2024 data, June 20261
Company 4
14Elsworth et al. (Google), Measuring the environmental impact of delivering AI at Google scale, August 20257
15Microsoft, 2026 Environmental Sustainability Report, Data Fact Sheet, July 20267
17Mistral AI, with Carbone 4 and ADEME, Our contribution to a global environmental standard for AI, July 20256
21Sam Altman (OpenAI), The Gentle Singularity, June 20253
Scientific study 1
30Li, Yang, Islam and Ren, Making AI Less "Thirsty", 20232
Dataset 1
35FAO, SDG indicator 6.4.2 (level of water stress), via Our World in Data1
Press 1
31Washington Post, A bottle of water per email: the hidden environmental costs of using AI chatbots, September 20241

A source is listed under each topic of the content that cites it: no. 14 appears under Water, Climate and Uses. The figure on the right counts the hub's content that cites it.

14
Source entryCompanyGoogleAugust 2025

Measuring the environmental impact of delivering AI at Google scale

Elsworth et al. (Google), August 2025arxiv.org/abs/2508.15734 ↗

Strengths

  • "The only published measurement over a full inference scope."
  • A measurement in production: active accelerators, processor and memory, idle machines, data centre overhead.
  • It also gives the narrow approach (0.10 Wh): the wider scope more than doubles the value.

Its limitations

  • Measurement published by the provider itself, not audited by a third party.
  • Valid for Gemini; it cannot be transposed as it stands to other assistants.
  • For water, the narrowest scope of the published figures: 170 times less than the life cycle assessment by Mistral AI.

The 8 values recorded in this document

ValueWhat it measuresWhere in the documentChecked on
0.24 WhElectricity used by a text query, median question to Gemini, May 2025 · reference valueResults section, table 121 Oct. 2026
0.24 WhEnergy of the median question to Gemini Apps (text), May 2025 · reference valueResults section, figure 321 Oct. 2026
0.10 WhThe same query, narrow approach (accelerators only)Section 4.1, table 124 Oct. 2026
0.26 mLWater consumed per question, Google Gemini (median) · reference valueSection 4.2, table 221 Oct. 2026
1.15 L/kWhWater consumed per kWh, Google data centres serving language modelsSection 3.321 Oct. 2026
0.03 gCO2eEmissions per median written question to GeminiSection 4.2, table 221 Oct. 2026
94 g/kWhGoogle electricity in 2024, according to its contractsSection 3.3, p. 624 Oct. 2026
345 g/kWhGoogle electricity in 2024, according to the gridSection 3.3, p. 624 Oct. 2026

Cite this source

[14] Elsworth et al. (Google), Measuring the environmental impact of delivering AI at Google scale, August 2025. https://arxiv.org/abs/2508.15734

For software and AI

@misc{elsworth2025,
  author = {Elsworth and others},
  title  = {Measuring the environmental impact of delivering AI at Google scale},
  year   = {2025}, month = {aug},
  url    = {https://arxiv.org/abs/2508.15734}
}

A question about a figure?

An error, a source to add, a methodology question, a press request: write to us. Guillaume Pakula, Clément Reynaud, Sébastien Pierfederici and Alexandre Veilly will reply.

Write to us →

Projet Celsius, which runs this hub, also helps companies measure and reduce the footprint of their AI use.

Accounting for AI in your Bilan Carbone® ↗
Projet Celsius, environmental strategy consultancy

We support companies that account for AI in their Bilan Carbone®

Visiter Projet Celsius ↗