This is the official repository for the paper Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race by Pedram Bakhtiarifard, Pinar Tözün, Christian Igel, and Raghavendra Selvan.
Kindly cite our publication and the relevant data sources if you use any part of this work.
@inproceedings{bakhtiarifard2026neglecting,
title = {Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race},
author = {Bakhtiarifard, Pedram and Tözün, Pinar and Igel, Christian and Selvan, Raghavendra},
booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
year = {2026},
url = {https://icml.cc/virtual/2026/poster/67114}
}Install the Python dependencies and run the scripts:
python -m pip install -r requirements.txt
python paper_distribution/plot_paper_distribution.py
python ai_investment/plot_ai_investment.py
python renewable_energy/plot_renewable_energy.py
python hugging_face/plot_hugging_face.py- OpenReview: accepted-paper metadata and public author profiles for ICLR, ICML, and NeurIPS.
- martenlienen/icml-neurips-iclr-dataset: the code is based on this conference paper scraping (for older years).
- World Bank income groups via Our World in Data: country-year income classifications.
- TOP500: country-level supercomputing capacity.
- Stanford HAI AI Index 2025: private AI investment by country/geographic area.
- Natural Earth: country boundaries for the world map.
- IRENA Data: renewable and non-renewable electricity generation by country.
- Hugging Face Optimum LLM Performance Leaderboard: LLM leaderboard entries by model distributor (organisation).
The included data snapshots are kept so the figures and final CSVs can be regenerated.