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Artificial Intelligence, Foreign Investment And Technology Sovereignty: Emerging Challenges For Developing Countries

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Ayushi Maggu, Amity Law School, Noida, Amity University


ABSTRACT


Foreign investment can finance artificial intelligence infrastructure and widen access to advanced services, while leaving developing countries dependent on external suppliers for computing, models and technical decisions. This paper examines how investment governance can address that tension without treating technological self-sufficiency as a realistic universal objective. Using a doctrinal and comparative method, it analyses selected trade and intellectual property rules, European regulatory instruments, judicial principles on privacy, India’s AI capacity programme and the African Union’s continental strategy. The central argument is that technology sovereignty should be assessed through effective regulatory authority, domestic capacity and the practical ability to change suppliers. Investment approval, local data storage and national ownership do not independently establish those conditions. The paper proposes proportionate screening, negotiated capability development, enforceable procurement safeguards and regional cooperation. These measures should connect investment incentives with demonstrable public benefits while protecting individual rights and preserving lawful international collaboration.


Keywords: Artificial Intelligence; Foreign Investment; Technology Sovereignty; Developing Countries; Technology Transfer; Data Governance.



Indian Journal of Law and Legal Research

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Abbreviation: IJLLR

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ISSN: 2582-8878

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Website: www.ijllr.com

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Accessibility: Open Access

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License: Creative Commons 4.0

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Submit Manuscript: Click here

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Licensing: ​

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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