Moderate evidence
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Rapid artificial intelligence deployment increases near-term pressure on global carbon budgets
- Truvace record
- TRV-2026-2616raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Benchmark or lab evaluation
- Sources
- 1 sourcePeer-reviewed
- sha256
- 341a2070586d…check it
Limiting warming to 1.5 degrees Celsius depends on cumulative carbon dioxide emissions, not only on whether annual emissions eventually balance. Artificial intelligence is increasingly promoted as a tool for reducing emissions, but its supporting digital infrastructure produces emissions before many system-level benefits are realized. Here, we evaluate this timing mismatch using a probabilistic numerical cumulative carbon accounting model calibrated to International Energy Agency artificial-intelligence and ener…
The problem
A modelling study calibrated to International Energy Agency scenarios estimates that under rapid AI expansion, AI infrastructure would add a median 2.85 gigatonnes of CO2 before annual savings exceed annual emissions in late 2031.
What this doesn’t fix
The model treats all AI infrastructure growth in aggregate rather than separating mitigation-oriented applications from other compute, and its marginal-emissions adjustment draws on a limited set of mainly U.S. electricity markets.
Sources
1 on file- Communications Earth & Environmentdoi:10.1038/s43247-026-03746-y
Cite this record
v1Truvace Impact Record TRV-2026-2616, v1: “Rapid artificial intelligence deployment increases near-term pressure on global carbon budgets.” Truvace, 2026-11-12. /record/TRV-2026-2616 (accessed on the day you copy it). sha256 341a2070586d6ef3…
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