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June 19, 20260 citationsOpen Access

AI-Driven Trade and Commerce- Pathways to Inclusive Growth

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DBDr. Santosh Ishwara BaraleDSDr. Mahadev Limbraj Sontakke

Key Points

  • The study examines how artificial intelligence (AI) can transform global trade and commerce, particularly in developing economies.
  • Explored AI technologies like machine learning and blockchain in trade functions.
  • Identified barriers to AI adoption, including infrastructure and skills.
  • Provided policy recommendations for infrastructure and skill-building investments.
  • AI-driven solutions resulted in cost reductions and faster logistics, with significant performance gains.
  • Developing economies could enhance competitiveness and market access through AI.
  • Barriers like weak infrastructure and regulatory issues limit effective AI adoption.

Abstract

This study explores the transformative role of Artificial Intelligence (AI) in reshaping global trade and commerce. AI-driven technologies such as machine learning, data analysis, robotics and blockchain are reshaping global trade and commerce and its functions like supply chains, logistics, e-commerce, customs and transparency. Evidence shows significant gains, including cost reductions, fuel savings, faster clearance, and improved sales performance. For developing economies, AI offers pathways to strengthen competitiveness, expand market access, empower SMEs and farmers, and promote digital inclusion. However, adoption remains uneven because of weak infrastructure, lack of skills, cybersecurity issues, and regulatory hurdles. The paper emphasizes that without targeted policy support, these barriers may limit the inclusive benefits of AI-driven trade systems. Policy recommendations highlight investments in digital infrastructure, AI-focused skilling initiatives, ethical regulatory frameworks, and cybersecurity support for vulnerable sectors.

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Cite This Study

Barale et al. (2026) studied this question.

synapsesocial.com/papers/6a34de7065a5b0777af2de20https://doi.org/10.5281/zenodo.18537388
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