Our article uses a socio-legal lens to examine the construction of precarity among migrant food delivery workers in Turin, Italy. We argue that the Italian migration system, and the way it is implemented, narrows the range of sources of income, and pushes migrants into a condition of liminal legality, formatting the malleable workforce upon which food delivery platforms deploy their biopower. We thus suggest that the commodification of migrant labor in the platform food delivery sector in Turin, while driven by platform logics, is rooted in, and compounded by, the contradictions and opacity of the Italian immigration regime. We thus advance the novel concept of algorithmic–bureaucratic precarization which allows an understanding of how the interaction of the legal and the digital causes migrant workers to be held on the outermost margins of employment. By drawing on ethnographic data collected during the Covid-19 pandemic, we chart the growing centrality of food delivery platforms in the political economy of migration. In so doing, we show how the interaction between shifting migration policies, information asymmetries of digital platforms and legal loopholes exacerbates the socio-economic vulnerability of migrant workers. We unpack algorithmic–bureaucratic precarization by describing the entanglement of legal and procedural failures that illegalize migrants and asylum seekers and put them at risk of exploitation. Through the specific case of migrant food delivery workers in Turin, we contribute to the legal geography literature on precarization by highlighting how the platform economy is reshaping the nexus of neoliberal flexibilization and restrictive migration policies.

Iazzolino, G., Celoria, E., Varesio, A. (2025). The Algorithmic-Bureaucratic Precarization of Migrant Food Delivery Workers in Italy. INTERNATIONAL MIGRATION REVIEW [10.1177/01979183251343886].

The Algorithmic-Bureaucratic Precarization of Migrant Food Delivery Workers in Italy

Varesio, A.
Co-primo
2025

Abstract

Our article uses a socio-legal lens to examine the construction of precarity among migrant food delivery workers in Turin, Italy. We argue that the Italian migration system, and the way it is implemented, narrows the range of sources of income, and pushes migrants into a condition of liminal legality, formatting the malleable workforce upon which food delivery platforms deploy their biopower. We thus suggest that the commodification of migrant labor in the platform food delivery sector in Turin, while driven by platform logics, is rooted in, and compounded by, the contradictions and opacity of the Italian immigration regime. We thus advance the novel concept of algorithmic–bureaucratic precarization which allows an understanding of how the interaction of the legal and the digital causes migrant workers to be held on the outermost margins of employment. By drawing on ethnographic data collected during the Covid-19 pandemic, we chart the growing centrality of food delivery platforms in the political economy of migration. In so doing, we show how the interaction between shifting migration policies, information asymmetries of digital platforms and legal loopholes exacerbates the socio-economic vulnerability of migrant workers. We unpack algorithmic–bureaucratic precarization by describing the entanglement of legal and procedural failures that illegalize migrants and asylum seekers and put them at risk of exploitation. Through the specific case of migrant food delivery workers in Turin, we contribute to the legal geography literature on precarization by highlighting how the platform economy is reshaping the nexus of neoliberal flexibilization and restrictive migration policies.
Articolo in rivista - Articolo scientifico
Precarization, Migrant, Delivery
English
10-lug-2025
2025
open
Iazzolino, G., Celoria, E., Varesio, A. (2025). The Algorithmic-Bureaucratic Precarization of Migrant Food Delivery Workers in Italy. INTERNATIONAL MIGRATION REVIEW [10.1177/01979183251343886].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/573023
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