Resilio · AI Footprint Study
A research study by Resilio & partners

Environmental transparency in the AI supply chain

On the 21st and 22nd of June, The Geneva AI Summit 2027 will bring the global conversation on artificial intelligence to the heart of multilateralism.

To have sustainability at the center stage, we are setting up the largest benchmark of real-world AI usage, built with the ICT value chain to bring transparency on the true environmental impact of Artificial Intelligence

Join the study
2027
PUBLIC RELEASE (GENEVA) - JULY
22
PARTNERS HAVE
JOINED THE PROJECT
SINCE MARCH 2026
ITU
USING THE L.1801 METHODOLOGY
GLO
GLOBAL REACH - A PLATFORM TO FEDERATE THE ICT SECTOR
THE OBJECTIVE

Why this study exists

01

Corporates are flying blind.

Companies adopting AI cannot quantify its environmental impact (as information is disconnected and fragmented), nor anticipate how it will affect their global carbon emissions and decarbonisation targets (SBTi, CSRD, etc.).

02

Existing data is disconnected from reality.

Public references's data (Ecologits, AI Energy Score, academic LCAs) come from lab benchmarks, not real deployments . 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 (ITU's L.1801 framework, GHG Protocol, ...).

03

Model

A parametric model any organisation can use to estimate and plan the environmental footprint of their AI usage.

+
Our contribution

In deployment

We measure marginal impact and real consumption from actual production workloads, across the full stack.

Hardware
Training
Infrastructure
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Scope of the study

Assessing the full ICT value chain

01

AI Hardware

Hardware supporting computation (GPU/TPU/ASIC), network and storage.

Who we are looking for
Hardware ManufacturersOEMsSemiconductor industry
02

Training AI models

Training across foundation and task-specific models, fine-tuning for specific purposes.

Who we are looking for
AI model providersResearch institutions
03

AI inference

Individual traces from real deployment workloads. Marginal impact metrics.

Who we are looking for
Cloud & data centre operatorsPrivate Cloud
04

End-user AI applications

How AI integrates into products and workflows in real production. Agentic loops, real applications, ...

Who we are looking for
AI-deploying enterprisesCTOs / CSOs
Project journey

The story so far

The Research AI Project
  1. March 2026
    Q1 2026
    • Project kick-off
    • First partner onboarded
  2. July 2026

    First results

    Initial data and validation results

  3. Nov 2026

    Publications

    Joint Statement of Demand and first findings

  4. Q1 2027

    Additional results

    Extended analysis and pre-release to partners

  5. June 2027
    AI SUMMIT GENEVA 2027

    Public release

Road to Geneva
Market OverviewMar – Jul 2026
  1. Road to AI Summit London
    JUNE 2026
    Event with the Swiss EmbassySwiss embassy coat of arms
Policy and Customer DemandJul – Nov 2026
  1. Trust Valley Days · EPFL
    SEPT 2026
  2. Munich Climate Week
    with SustainableIT.org
    OCT 2026
    Event with the Swiss EmbassySwiss embassy coat of arms
  3. Road to AI Summit Paris
    NOV 2026
    Event with the Swiss EmbassySwiss embassy coat of arms
Supplier's ResponseNov 2026 – May 2027
  1. World Economic Forum
    JAN 2027(to be announced)
  2. Zurich Climate Week
    MAY 2027(to be announced)
  3. COP 31
    NOV 2026(to be announced)
ResultsJune 2027
  1. AI Summit Geneva · Public release
    JUNE 2027
Why join

What partners get from the study

01

Shape the methodology

Contribute to the reference benchmark for AI environmental impact.

02

Get early access

Partners receive the parametric model and findings before public release.

03

Position your organisation

Recognised contributor at the Geneva AI Summit 2027.

04

Get free support

AI Tech companies can get free support to assess the impact of their AI services.

Publications
Embassy of Switzerland in the United Kingdom

Highlights of the event at the Swiss Embassy in London

Download the highlights

Joint Statement of Demand

Public release on the 4th of November.

Whitepaper on the env. footprint of AI

Public release on the 4th of November.

* only for the partners of the event

Partners & contributors

Our Partners

Founding contributors across the AI value chain, from Frontier Models, Data Center providers to Large entreprises and Governments

THE TEAM

Photo of Louise AubetLouise AubetHead of R&D, ResilioPhoto of Rosendo ManasRosendo ManasPartner, ResilioPhoto of You LiYou LiAI Lead, ResilioPhoto of Tallulah RytzTallulah RytzResearcher, ResilioPhoto of Prof. ShresthaProf. ShresthaUnil - HEC
About Resilio

Assessing 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 value chain. From CIOs, Telecom and Cloud providers, to OEMs and Semiconductor companies.

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