Infrastructural Intelligence as Sociotechnical Institution: Cloud- Native AI, Power, Governance, and Inequality in the Global South

Kadyan, Sneha and Malik, Firdous Ahmad (2026) Infrastructural Intelligence as Sociotechnical Institution: Cloud- Native AI, Power, Governance, and Inequality in the Global South. In: Automating Intelligence With Cloud-Native AI Tools. IGI Global, pp. 139-153. ISBN 9798337374444

[thumbnail of Infrastructural Intelligence as Sociotechnical Institution- Cloud- Native AI, Power, Governanace, and Inequality in the Global South.pdf] Text
Infrastructural Intelligence as Sociotechnical Institution- Cloud- Native AI, Power, Governanace, and Inequality in the Global South.pdf - Published Version
Restricted to Repository staff only

Download (494kB) | Request a copy

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 trans forming 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.

Item Type: Book Section
Subjects: Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Mrs Tulika Kumar
Date Deposited: 02 Mar 2026 11:54
Last Modified: 02 Mar 2026 12:17
Official URL: https://doi.org/10.4018/979-8-3373-7442-ch011
URI: https://pure.jgu.edu.in/id/eprint/10972

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item