Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the U.S. and China

As computing power becomes central to geopolitical rivalry, cloud infrastructure is increasingly framed as critical to national security, economic resilience and technological sovereignty. Current debates often focus on global competition – especially between the U.S. and China – highlighting strategic investments, export controls and infrastructure diplomacy abroad. Yet far less attention has been paid to the domestic territorial transformations that make such geopolitical projection possible. This paper argues that national strategies for AI and cloud dominance depend on the reorganization of land, energy and regulatory systems to sustain large-scale computation. Using a geopolitical ecology framework, we examine how the U.S. and China build national computing power as a strategic economic and military resource. In the U.S., cloud firms operate as state-aligned actors, drawing on fragmented regulatory authority, public subsidies and national security discourse to expand into rural and peri-urban regions. China pursues a more centralized strategy through its East Data, West Computing initiative, redistributing infrastructure to inland provinces under state-led development goals. Through comparative regional analysis, we show how domestic infrastructural expansion underpins geopolitical rivalry, producing new forms of territorial governance and socio-environmental inequality. Far from immaterial, the cloud is grounded in enclosure, extraction and the spatial foundations of techno-industrial power.

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Publication Details

Journal
Environment and Planning A Economy and Space
Published
2025-09-15
DOI
https://doi.org/10.1177/0308518x251369704
Citations
2
Primary Topic
Opportunistic and Delay-Tolerant Networks
Type
article
Field-Weighted Citation Impact
2.97
Controls
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article

Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the U.S. and China

Andrew Stokols, Justin Kollar
2 citations
Environment and Planning A Economy and Space
Opportunistic and Delay-Tolerant Networks
2.97
article

Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the U.S. and China

Andrew Stokols, Justin Kollar
article en
2 citations

Abstract

As computing power becomes central to geopolitical rivalry, cloud infrastructure is increasingly framed as critical to national security, economic resilience and technological sovereignty. Current debates often focus on global competition – especially between the U.S. and China – highlighting strategic investments, export controls and infrastructure diplomacy abroad. Yet far less attention has been paid to the domestic territorial transformations that make such geopolitical projection possible. This paper argues that national strategies for AI and cloud dominance depend on the reorganization of land, energy and regulatory systems to sustain large-scale computation. Using a geopolitical ecology framework, we examine how the U.S. and China build national computing power as a strategic economic and military resource. In the U.S., cloud firms operate as state-aligned actors, drawing on fragmented regulatory authority, public subsidies and national security discourse to expand into rural and peri-urban regions. China pursues a more centralized strategy through its East Data, West Computing initiative, redistributing infrastructure to inland provinces under state-led development goals. Through comparative regional analysis, we show how domestic infrastructural expansion underpins geopolitical rivalry, producing new forms of territorial governance and socio-environmental inequality. Far from immaterial, the cloud is grounded in enclosure, extraction and the spatial foundations of techno-industrial power.

Environment and Planning A Economy and SpaceVol. 58(1)
Massachusetts Institute of Technology (US)
Openalex Percentile: Top 7%
Opportunistic and Delay-Tolerant Networks
2.97
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