01
Corporates are flying blind.
Companies adopting AI cannot quantify its environmental impact, nor anticipate how it will affect their global carbon emissions and decarbonisation targets (SBTi, CSRD, etc.).
A research study by Resilio & partners
How much does AI truly cost the planet?
The largest benchmark of real-world AI usage, built with the AI value chain, from models to infrastructure. Running until the AI Summit in Geneva 2027.
- 2027
- PUBLIC RELEASE (GENEVA) - JULY
- 10
- PARTNERS HAVE
JOINED THE PROJECT
SINCE - ITU
- USING THE L.1801 METHODOLOGY
- GLO
- GLOBAL REACH - A PLATFORM TO FEDERATE THE ICT SECTOR
THE OBJECTIVE
Why this study exists
02
Existing data is disconnected from reality.
Public references (Ecologits, AI Energy Score, academic LCAs) come from lab benchmarks, not real production usage. They miss the actual energy, hardware, and infrastructure footprint of AI at scale.
Our approach
Three steps, from raw signal to usable model
01
Collect
Real-world usage data from companies across the AI value chain (model providers, infrastructure, cloud, and end-users).
02
Analyse
Resilio's R&D team processes the data using established LCA methodology (WE USE THE L.1801 METHODOLOGY, GHG Protocol, ITU frameworks).
03
Model
A parametric model any organisation can use to estimate and plan the environmental footprint of their AI usage.
Scope of the study
Assessing the full AI value chain
01
AI models
Training & inference across foundation and task-specific models.
02
AI infrastructure
Data centres, accelerators (GPU/TPU/ASIC), networking and cooling.
03
End-user AI applications
How AI integrates into products and workflows in real production.
Project journey
The story so far
An interactive timeline of milestones, partners, and the people who have shaped the study.
- Q4 2025
Project kick-off
- Q1 2026
First partner onboarded
- Q2 2026
Methodology framework published
- Q3 2026
Data collection opens
- Q4 2026
Consortium expands
- Q1 2027
Analysis & parametric model
- Q2 2027
Pre-release to partners
- AI Summit Geneva 2027
Public release
Why join
What partners get from the study
Shape the methodology
Contribute to the reference benchmark for AI environmental impact.
Get early access
Partners receive the parametric model and findings before public release.
Position your organisation
Recognised contributor at the Geneva AI Summit 2027.
Who we are looking for
Contributors across the value chain
- AI model providers
- Cloud & data centre operators
- AI hardware vendors
- AI-deploying enterprises
- Research institutions
Partners & contributors
The consortium
Founding contributors across the AI value chain, from Frontier Models, Data Center providers to Large entreprises and Governments
Wordmarks shown for reference. Official logos will be added as each partner formally joins the consortium.
Supporters & contributors so far
Scroll →Contact
Join the study
Email
contact@resilio.techOffices
EPFL Innovation Park, Building C, 1015 Lausanne
132 Rue Fondaudège, 33000 Bordeaux, France
About Resilio
Measuring the environmental footprint of the ICT sector
Resilio is a Swiss company specialising in assessing the environmental footprint of the digital sector, working with stakeholders across the AI value chain. From CIOs, Telecom and Cloud providers, to OEMs and Semiconductor companies.