Infrastructural Intelligence as Sociotechnical Institution

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Authors: Sneha Kadyan, Firdous Ahmad Malik
Cited by: 0
References: 30

Abstract

Cloud-native AI tools are impactful in the automation of cognition and organization decision making. This chapter is directed at advancing the sociological concept of infrastructural intelligence that explains how the cloud-based infrastructures of cognitive automation get intertwined, reshaping labor, governance, and global power. This chapter is anchored in the studies of sociotechnical systems, labor process theory, platform capitalism, datafication, and global inequality, and argues that the cloud-native AI represents a change in the infrastructure of automation: moving from isolated, algorithmic processes to extensive, codified, and worldwide systems of cognition. Evidence from logistics, finance, manufacturing, digital labor, and public governance is brought together to show how cloud-native AI is transforming work and at the same time sustaining geopolitical imbalances. The chapter presents a sociological perspective for understanding cloud-native AI and finally points out the ethical, environmental, and labor aspects that should be considered in future research.

Fields of Study & Subjects

Digital Economy and Work Transformation Ethics and Social Impacts of AI Legal and Labor Studies

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
139–154
Publication date
13 February 2026
Language
EN
Document type
Book chapter