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THE GRID
SECTION 13
ISSUE 001
OBSERVEDpolicynowconfidence / high
Full-Stack AI Resource Ledgers
Require major AI services to report energy, water, hardware, land, and grid impacts across training and inference, with location and time resolution. A full-stack ledger would let customers and communities compare systems, expose burden shifting, and reward efficiency improvements that annual carbon claims obscure.
Why this idea is here
What the evidence establishes.
IEA provides a data-driven energy–AI baseline; the UN panel identifies environmental and systems impacts as a central global evidence challenge.
Source ledger
Read the sources.
- S01Energy and AI
IEA report / published 2025-04-10 / retrieved 2026-07-09
- S02Preliminary Report of the Independent International Scientific Panel on AI
UN scientific report / published 2026-07-01 / retrieved 2026-07-09