Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195761,
author = {Adithya Narayanan},
title = {The Artificial Intelligence and International Trade Law: Regulatory Gaps, Policy Challenges, And The Need for Legal Integration},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {1459-1465},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195761},
abstract = {Artificial intelligence is upending international trade as we know it, redefining global value structures, digital ecosystems, and how services are delivered across borders. While AI enhances productivity, efficiency, and market access, it also exposes serious regulatory blunders in existing frameworks of international trade law. The relationship between artificial intelligence and international trade law is under study in this article, with a particular focus on the deficiencies of the World Trade Organization’s classification of goods and services and the absence of trade rules addressing AI. It emphasizes the manner in which issues associated with cross-border data flows, data localization policies, and differing domestic regulations make for legal uncertainty and fragmentation in global trade governance.
The research also considers the role of national regulation on artificial intelligence, data protection, and digital commerce in India within the framework of the Digital Personal Data Protection Act of 2023 and the focus of individual market- and sector-specific data localization solutions. Although they are undertaken with the intention to defend national interests, privacy, and economic sovereignty, the implications for trade obligations with other countries are alarming.
It also tackles the implications of AI-linked trade for developing countries, with the latter particularly revealing the dangers of digital dependence and an unfair distribution of economic fruits. The report argues that existing trading models need to evolve to address the unique threats created by AI.
It ends with the need for a unified, integrated, and inclusive international legal integration to create an environment on the world stage in which AI-triggered innovation, fairness, and sustained economic growth thrive without creating an inherent impediment to trade through AI.},
keywords = {Artificial Intelligence, global trade governance, AI-triggered innovation, WTO, AI-linked trade},
month = {April},
}
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