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Study finds AI growth raised carbon emissions at China's data centers
Study title: Artificial intelligence raises operational carbon emissions from data centers
- Evidence type
- Observational study
- Sample
- n = 1,090
- Sources
- 1 sourcePeer-reviewed
- Published
- 2 min read
- Truvace record
- TRV-2026-2878cite or check it
Study title: Artificial intelligence raises operational carbon emissions from data centers
A bottom-up accounting of 1,090 data centers across 162 cities in China from 2015 to 2024 found that AI development is associated with higher operational carbon emissions from purchased electricity. A one-standard-deviation increase in a multidimensional AI index was linked to an additional 68.82 million tonnes of emissions.
Read the study abstract
Artificial intelligence is expanding computing demand, yet how this expansion affects the operational carbon emissions that arise from purchased electricity at data centers remains poorly quantified. Existing work has not systematically isolated this operational-phase outcome or examined the mechanisms, thresholds, and spatial patterns that shape it. Here we show that artificial intelligence development raises operational carbon emissions from data centers. A bottom-up accounting of 1,090 data centers across 162…

The problem
A study of 1,090 data centers in 162 Chinese cities from 2015 to 2024 found that a one-standard-deviation rise in an AI index was associated with an extra 68.82 million tonnes of operational carbon emissions.
In brief
Local green data-center policies and stronger green-technology cooperation between cities both weakened the link once they passed estimated thresholds. Neither reversed it, so AI growth still pushed emissions up under those conditions.
The effect also varied by distance. Spatial spillovers were negative between roughly 150 and 650 km and positive at longer distances, so one city's AI growth was tied to emissions elsewhere in a non-uniform pattern.
Main points
- The dataset covers 1,090 data centers in 162 Chinese cities between 2015 and 2024.
- A one-standard-deviation rise in the AI index is associated with 68.82 million additional tonnes of operational emissions.
- The emissions measured come from purchased electricity used during operation.
- Local green data-center policies weaken the association once they exceed an estimated threshold, but do not reverse it.
- Higher inter-city green-technology cooperation also weakens the association past a threshold without reversing it.
- Spatial spillovers are negative between about 150 and 650 km and positive at longer distances.
The full story
Researchers built a bottom-up account of operational carbon emissions from purchased electricity at 1,090 data centers across 162 Chinese cities, covering 2015 to 2024. They related it to a multidimensional index of AI development. The authors say earlier work had not isolated this operational-phase outcome or its mechanisms, thresholds and spatial patterns.
The headline estimate is an association: a one-standard-deviation increase in the AI index goes with an additional 68.82 million tonnes of emissions. Two mitigating factors were examined, local green data-center policies and green-technology cooperation between cities. Each weakened the association only after passing an estimated threshold, and neither reversed it.
The spatial analysis found non-monotonic spillovers. Effects on other cities were negative at distances of roughly 150 to 650 km and positive beyond that. The authors say the results identify the conditions under which AI growth raises operational emissions from computing infrastructure.
Sources
1 on file- Environmental Science and Ecotechnologydoi:10.1016/j.ese.2026.100789
Talk it over
Who carries this cost, and what would have to change to prevent it?
Study finds AI growth raised carbon emissions at China's data centershttps://truvace.com/item/artificial-intelligence-raises-operational-carbon-emissions-from-data-centers
Who carries this cost, and what would have to change to prevent it?
The problem A study of 1,090 data centers in 162 Chinese cities from 2015 to 2024 found that a one-standard-deviation rise in an AI index was associated with an extra 68.82 million tonnes of operational carbon emissions.
Answer in the threadHow do we know? What can this kind of evidence show, and what can’t it?
The evidence This rests on an observational study with a sample of 1,090, from Environmental Science and Ecotechnology.
Answer in the threadWhat does it leave open? What else would you want to know before acting on it?
The record’s own caveat The 68.82 million tonne figure is an association rather than a proven causal effect, and the data cover only Chinese cities from 2015 to 2024.
Answer in the threadHave you seen AI used this way where you study, work or live? Did it go the same way?
Answer in the thread
The questions are the same on every record. The details under them are taken from this record as written.
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