Fr. 168.00

AI Surveillance and its Impact on Global Power Structure - Geopolitical shifts of the US, China and India

English · Hardback

Will be released 11.11.2025

Description

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This book explores AI's geopolitical impact, particularly its influence on global power structures and the interplay between states and private companies. It explores whether Neo-Realism or Neo-Gramscian theory better explains the effects of AI surveillance.
Two hypotheses are examined: first, China s export of AI surveillance will challenge the U.S. s superpower status; second, private companies will surpass states in power through AI. The research supports the first hypothesis but finds limited evidence for the second.
Using congruence analysis, it evaluates these theories with data from reports, indices, and policy papers. Findings show Neo-Realism aligns with observations, emphasizing state to remain as the primary agency in conducting international relations. In contrast, Neo-Gramscian theory underlines interactions between world order and social factors and hits at the emergence of private companies as new agencies in explicitly conducting international relations. However, there is limited evidence to support structural shifts within the state that provides greater influence to AI or platform companies.
The book critiques both theories, highlighting their limitations in addressing AI s general-purpose nature, emergent agencies, and socio-political transformations. Policy recommendations include robust domestic AI legislation, international collaboration, and a governance body representing states, industry, and the public to ensure balanced AI geopolitics and governance.

List of contents

Chapter 1: Introduction.- Chapter 2: Derivation of Neo-Realism and Neo-Gramscian Theoretical Determinants.- Chapter 3: The Reality of the AI Surveillance and the Geopolitics.- Chapter 4: AI Surveillance is Becoming Purvasive.- Chapter 5: Analysis of Neorealism Theoretical Constructs in Understanding the AI Surveillance and its Impact on the Geopolitics.- Chapter 6: Analysis of Neo-Gramscian Approach Theoretical Determinants.- Chapter 7: Congruence Analysis.- Chapter 8: Conclusion & Policy Recommendations.

About the author

Dr Arun Teja Polcumpally is the JSW Science and Technology Fellow at the Asia Society Policy Institute, New Delhi, a division of the Asia Society India Center. His research explores the intersection of science, emerging technologies, data, geopolitics, and global governance. Prior to joining ASPI, he held positions at leading think tanks such as the Wadhwani Center for Digital Transformation, the Center of Excellence for AI in Human Security, the Center for Security Studies, and the Center for Development Policy and Practice, and a private law and policy firm- Pacta.

Summary

This book explores AI's geopolitical impact, particularly its influence on global power structures and the interplay between states and private companies. It explores whether Neo-Realism or Neo-Gramscian theory better explains the effects of AI surveillance.
Two hypotheses are examined: first, China’s export of AI surveillance will challenge the U.S.’s superpower status; second, private companies will surpass states in power through AI. The research supports the first hypothesis but finds limited evidence for the second.
Using congruence analysis, it evaluates these theories with data from reports, indices, and policy papers. Findings show Neo-Realism aligns with observations, emphasizing state to remain as the primary agency in conducting international relations. In contrast, Neo-Gramscian theory underlines interactions between world order and social factors and hits at the emergence of private companies as new agencies in explicitly conducting international relations. However, there is limited evidence to support structural shifts within the state that provides greater influence to AI or platform companies.
The book critiques both theories, highlighting their limitations in addressing AI’s general-purpose nature, emergent agencies, and socio-political transformations. Policy recommendations include robust domestic AI legislation, international collaboration, and a governance body representing states, industry, and the public to ensure balanced AI geopolitics and governance.

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