Evidence map›Paper›PMID 42109696›Full record

ArticleUrban political ecology2025

The nature of AI: Metabolism, energy, water, labour and justice in the urban political ecology of artificial intelligence.

Federico Cugurullo, Federico Caprotti, Jennie Day, Shona Geoghegan, Casey R Lynch, Filippo Menga, Caitlin Robinson, Joe Williams

Abstract read
In one paragraph

Article in Urban political ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Federico CugurulloDepartment of Geography, Trinity College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0002-0625-8868
Federico CaprottiDepartment of Geography, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-5280-1016
Jennie DayDepartment of Criminology, University of Ottawa, Ottawa, Canada.ORCID https://orcid.org/0000-0001-6851-1999
Shona GeogheganDepartment of Geography, Trinity College Dublin, Dublin, Ireland.ORCID https://orcid.org/0009-0001-1399-840X
Casey R LynchDepartment of Geography, University of Girona, Girona, Spain.ORCID https://orcid.org/0000-0001-8839-876X
Filippo MengaDipartimento di Lingue, Letterature e Culture Straniere, University of Bergamo, Bergamo, Italy.ORCID https://orcid.org/0000-0001-5712-7748
Caitlin RobinsonSchool of Geographical Sciences, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0001-7653-359X
Joe WilliamsSchool of Geography and Planning, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-2125-8951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of vast volumes of Artificial Intelligence (AI) technology into the built environment is changing the metabolism of urban spaces. Due to the presence of various AIs in urban systems, there are now more agentic forces influencing the trajectory of urban development and entangling with pre-existing biological intelligences. Because of AI's substantial environmental costs, more resources are now needed to satisfy cities' technological appetite. Urban futures are also becoming more uncertain as private AI companies gain considerable power in urban governance through oligarchic schemes that leave citizens with no voice. In this paper, we bridge Urban Political Ecology (UPE) and urban AI literature, in order to critically examine the nature of AI as it intertwines with urban living and urban infrastructure. More specifically, we offer a threefold contribution to knowledge. First, we examine how the advent of urban AI is altering urban metabolism, zooming in on specific socio-environmental issues pertaining to energy, water and labour. Second, we discuss how the urban metabolisms altered by AI are reproducing uneven dynamics of development that are ultimately leading to different forms of injustice. Third and finally, we propose a potential course of action to politicize urban AI and intervene on its evolution.

Indexed as

artificial intelligencejusticeurban AIurban futuresurban metabolismurban political ecology

Identifiers

PMID42109696
PMCPMC13151965

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.