GROUNDWORK

AI + EARTH · AN EDITORIAL JOURNAL

INTELLIGENCE · STEWARDSHIP · PLACE

Progress hasa physical footprint.

A journal about what AI makes possible—and what it asks of the Earth.

Editorial landscape · photograph by Luca Bravo
CURIOSITY WITH CONTEXT.GROUNDWORK / AI + EARTH

THE EDITORIAL NOTE

Keep the possibility.
Ask the hard questions.

Groundwork follows the relationships between intelligence, infrastructure and everyday life. It is a place to read slowly, question a claim and connect an idea to the world around it.

Start with energy. Follow it to water, materials and communities. Then ask what the technology helps us do—and whether the result is worth the resources it takes.

FOUR WAYS INTO THE STORY

The whole system.
A more useful question.

01

Energy & place

The grid is part of the story.

The IEA’s October 2026 analysis puts grid capacity and fair cost allocation alongside efficiency. A data center’s effect on other electricity customers depends on the local system and who pays for new infrastructure.[1]

Who benefits, who pays, and what can this place support?

02

Water & materials

Look beyond the power meter.

Cooling is only one part of the picture. UNEP’s lifecycle framework also includes hardware production, mineral demand and electronic waste. The IEA highlights tradeoffs between water and energy use: improving one measure can worsen another.[3][1]

What is counted—and what is left outside the boundary?

03

Efficiency & demand

A smaller task can sit inside a bigger total.

The IEA describes efficiency gains alongside rising use and more demanding applications, including video, reasoning and agents. Energy per task and energy across the whole system answer different questions.[2]

Are we measuring a useful result, or simply more activity?

04

Useful innovation

Judge the benefit as carefully as the footprint.

Google’s 2026 environmental report describes applications such as flood forecasting and resource-efficiency tools. These are company-reported examples of potential value, not proof that every use of AI produces a net environmental benefit.[4]

What improves in the real world, compared with the alternative?

EXPLORE AN IDEA

Less per task.
How much altogether?

Move the sliders to explore how efficiency and activity change a total.

No reduction90% less
Same activity6× activity
Before
100
After
150

ILLUSTRATIVE ENERGY UNITS · SAME SCALE

+50% total energy

Less per task. More in total.

50% of the original energy per task × 3 times the activity = 150% of the original total.

An illustration, not a footprint calculator. Tasks are assumed identical. Only energy per task and task count change; training, hardware manufacture and separate facility overhead are excluded. These values are not measurements of an AI product.

A PRACTICE TO TAKE WITH YOU

Name the task.
Check the claim.
Look beyond it.

Our editorial approach: choose a tool that meets the need, evaluate the result, and ask for evidence of the total impact. No universal footprint. No automatic green label.

READ THE MEASUREMENT FIELD NOTE
Editorial landscape · photograph by David Marcu

EVIDENCE & EDITORIAL METHOD

Keep the sources visible.

Research, company reporting and our own interpretation play different roles. Publication dates and measurement periods stay with the evidence.

Sources & review notes

Sources reviewed October 28, 2026. This is an editorial collection, not a live news feed. Earlier essays retain their original reporting context.

  1. 01

    International Energy Agency · Policy and infrastructure analysis

    Powering Artificial Intelligence

    Published October 14, 2026

    Examines grid integration, water stress and cost allocation. Effects vary by project and electricity system; this is not a footprint for an individual prompt.

  2. 02

    International Energy Agency · Analysis and projections

    Key Questions on Energy and AI

    Published April 16, 2026

    Distinguishes improving efficiency from growth in use and more demanding applications. Data-center totals include workloads beyond AI; projections are not observed outcomes.

  3. 03

    United Nations Environment Programme · Foundational lifecycle framework

    Artificial Intelligence end-to-end

    Published September 2024

    An older reference retained for its whole-life approach, including equipment, minerals, operation and electronic waste. It is not a current annual footprint estimate.

  4. 04

    Google · Company reporting

    2026 Environmental Report

    Published 2026 · reporting on 2025

    Reports on clean-energy procurement, water projects and product applications including flood forecasting. Procurement commitments and estimated benefits should not be confused with delivered energy or net environmental impact.

Photography & interpretation

The questions and practical suggestions are Groundwork’s editorial guidance. The slider is explanatory arithmetic. Neither is a measured claim about a particular product.

Atmospheric photography by Luca Bravo and David Marcu, under the Unsplash license. Landscapes are not evidence of environmental performance.