'The plan is just survival': Data Work in Kenya and the Regime of Entrapment

The rapid expansion of the AI industry relies heavily on the production, verification, and maintenance of data, otherwise known as "data work". Companies outsource and offshore this work through global AI supply chains that operate under exploitative conditions. Drawing on semi-structured interviews with Kenyan data workers across platforms and BPOs, this paper examines how such conditions take shape and persist. We argue that workers are caught within a regime of entrapment, a system of interconnected mechanisms that make it difficult for workers to leave or improve their positions. These mechanisms include the push to invest in the promise of ‘AI’ jobs, the use of precarious contracts to govern workers, the capture of regulatory institutions, and the exploitation of global labor arbitrage. Using complementary lenses of neoliberal governmentality, precarity, and supply chain capitalism, we analyze why labor mobilization in this sector remains uniquely constrained. We conclude by outlining an orientation for research and scholarly practice that can support workers’ organizing efforts and contest the structural conditions sustaining this regime.

Authors

Institutions

Publication Details

Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3791097
Citations
1
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

'The plan is just survival': Data Work in Kenya and the Regime of Entrapment

Shivani Kapania, Alex Taylor, Tianling Yang, Sarah Fox et al.
1 citations
Digital Economy and Work Transformation
article

'The plan is just survival': Data Work in Kenya and the Regime of Entrapment

Shivani Kapania, Alex Taylor, Tianling Yang, Sarah Fox, Milagros Miceli, Morgan Klaus Scheuerman, Nuredin Ali Abdelkadir
article en
1 citations

Abstract

The rapid expansion of the AI industry relies heavily on the production, verification, and maintenance of data, otherwise known as "data work". Companies outsource and offshore this work through global AI supply chains that operate under exploitative conditions. Drawing on semi-structured interviews with Kenyan data workers across platforms and BPOs, this paper examines how such conditions take shape and persist. We argue that workers are caught within a regime of entrapment, a system of interconnected mechanisms that make it difficult for workers to leave or improve their positions. These mechanisms include the push to invest in the promise of ‘AI’ jobs, the use of precarious contracts to govern workers, the capture of regulatory institutions, and the exploitation of global labor arbitrage. Using complementary lenses of neoliberal governmentality, precarity, and supply chain capitalism, we analyze why labor mobilization in this sector remains uniquely constrained. We conclude by outlining an orientation for research and scholarly practice that can support workers’ organizing efforts and contest the structural conditions sustaining this regime.

University of Minnesota (US), Weizenbaum Institute (DE), Carnegie Mellon University (US), University of Edinburgh (GB)
National Science Foundation, UK Research and Innovation, Inha University, Arts and Humanities Research Council
Decent work and economic growth
Openalex Percentile: Top 23%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.