Zhang, J., Cox, A. and Wang, J. (2026) AI Urbanism, AI urbanismS: tracing urban AI formations through Foucauldian discourse analysis. Urban Geography. ISSN: 0272-3638
Abstract
Urban artificial intelligence (AI) is often cast as an inevitable upgrade to smart cities; this paper instead treats it as a contested regime of truth that reorders how cities are governed. Using Foucauldian discourse analysis, we trace how autonomy is assembled and authorized as a truth-claim in three sites: Shenzhen, Boston and Barcelona. We show how AI urbanism grows out of smart city smartmentality but fragments into what we call distinct “urban AI formations’ – Shenzhen’s predictive orchestration, Boston’s modest counter-conduct, and Barcelona’s procedurally bounded conditionality. Building an abductively derived, six-facet analytical framework, we argue that these formations are not local variants of a single model but divergent projects that redefine what counts as rational governance, and for whom. The paper thus pluralizes AI urbanism into AI urbanismS, provincializing dominant narratives of “autonomous cities’ and offering a transferable heuristic for examining how AI’s truth-claims become credible, governable and open to contestation in different urban contexts.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | urban AI; smart cities; Foucault; discourse analysis; autonomy; provincialization |
| Dates: |
|
| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Information, Journalism and Communication |
| Date Deposited: | 06 Mar 2026 13:54 |
| Last Modified: | 10 Mar 2026 11:50 |
| Status: | Published online |
| Publisher: | Taylor & Francis Group |
| Refereed: | Yes |
| Identification Number: | 10.1080/02723638.2026.2639707 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238410 |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)