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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63925
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

University Department of Commerce and business administration , T.M Bhagalpur
University Department of Commerce and business administration , T.M Bhagalpur
Artificial intelligence is changing world trade by making cross-border business faster, cheaper, and more data-driven. It helps firms forecast demand, manage supply chains, automate customs work, translate documents, and reach new markets with less time and cost. At the same time, AI is not equally available to all countries and firms. Large companies and developed economies often gain faster, while small businesses and developing countries may face gaps in skills, infrastructure, data access, and regulation. Artificial intelligence has had a broad and deeply uneven impact on business around the world. In the strongest cases, it is raising productivity, improving decision-making, accelerating innovation, and creating new business models; at the same time, it is forcing firms to redesign workflows, reskill workers, manage new risks, and rethink competition. The key points of the topic “impact of artificial intelligence on business around the world”: AI boosts productivity by automating repetitive tasks and improving efficiency across departments like customer service, manufacturing, finance, and logistics. AI supports better decision-making by analyzing large amounts of data and giving businesses faster, more accurate insights. AI drives innovation by helping firms create new products, services, and personalized customer experiences. AI improves global supply chains through demand forecasting, inventory optimization, route planning, and disruption management. AI is changing jobs and skills, reducing some routine work while increasing demand for AI, data, and strategy-related roles. AI gives companies competitive advantage by helping them work faster, reduce costs, and respond better to market changes. AI is affecting international business by reshaping trade, global operations, and how multinational companies coordinate across countries. AI also brings risks such as bias, privacy concerns, cybersecurity issues, and overdependence on automation.
KEYWORDS
Artificial intelligence is becoming a powerful force in world trade because it improves efficiency, reduces trade costs, and helps businesses reach global markets more easily. At the same time, it also creates challenges such as job displacement, unequal benefits between rich and poor countries, data risks, and new regulatory problems. Overall, the topic shows that AI is not only a technology issue but also a trade, policy, and development issue. Its final impact will depend on how well countries invest in digital skills, build fair rules, and use AI to support inclusive growth rather than deepen inequality. A strong final sentence for your assignment could be: Therefore, artificial intelligence has the potential to transform world trade positively, but only if governments and businesses manage its risks and ensure that its benefits are shared widely across countries.
Goldfarb, A., & Trefler, D. “AI and International Trade.” NBER Working Paper 24254. OECD. “Artificial Intelligence and International Trade”. UNECE. “White Paper on the use of Artificial Intelligence in Trade Facilitation”. “The Impact of Artificial Intelligence on International Trade” using cross-country trade and AI proxies. Federal Reserve / IFDP. “Artificial Intelligence Methods for Evaluating Global Trade Flows”. “Evaluating the impact of artificial intelligence on international trade”. Ready-to-use thesis line Artificial intelligence is transforming world trade by lowering costs, improving efficiency, and enabling new digital trade models, but its benefits are unevenly distributed and depend heavily on data governance, digital infrastructure, and regulatory coordination.
Publication Date
5/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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