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Navigating AI sustainability: A life cycle assessment approach toward viable future solutions Cover

Navigating AI sustainability: A life cycle assessment approach toward viable future solutions

Open Access
|Dec 2025

Figures & Tables

Figure 1

Trend of the scientific literature on “Life Cycle Assessment AND Artificial Intelligence” (Scopus) (2018–2025 ongoing).

LCIA results for GenAI training, expressed across 18 impact categories_

Impact categoriesUnitTotalWaterElectricity
Atmospherical impacts
Global warmingkg CO2 eq767814.26843.30766970.97
SODkg CFC11 eq0.200.0010.20
IRkBq Co-60 eq190145.8390.50190055.33
OFHHkg NO x eq779.681.64778.03
FPMPkg PM2.5 eq1454.960.961454.00
OFTEkg NO x eq783.061.64781.41
Terrestrial acidificationkg SO2 eq1607.232.521604.71
Eutrophication
Freshwater eutrophicationkg P eq589.540.44589.10
Marine eutrophicationkg N eq42.340.0442.30
Toxicity
TECkg 1.4-DCB13283.5251.8413231.68
FEC954.522.73951.79
MEC406.161.21404.95
HCT35.090.2434.85
HNCT824.073.17820.90
Abiotic resources
LUm2a crop eq28485.6031.6928453.92
MRCkg Cu eq556.293.87552.42
FRCkg oil eq184690.84195.53184495.31
WCm3 4928.78701.614227.18
DOI: https://doi.org/10.2478/mmcks-2025-0037 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206
Language: English
Page range: 145 - 155
Submitted on: Jun 23, 2025
Accepted on: Dec 15, 2025
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Marco Ruggeri, Sorin Anagnoste, Marco Savastano, published by Society for Business Excellence
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.