ARTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF GLOBAL VALUE CHAINS: IMPLICATIONS FOR DEVELOPING ECONOMIES

Authors

  • Mukhiddinov Ikromjon Author
  • Dadaboyev Tulqinjon Author

Keywords:

artificial intelligence, global value chains, developing economies, automation, services trade, digital divide, industrial policy, Uzbekistan.

Abstract

For three decades, joining global value chains (GVCs) has been the 
main route by which developing economies industrialised: a country could specialise 
in one labour-intensive task instead of building a whole industry. Artificial intelligence 
(AI) changes the cost structure on which this route rests. This paper identifies four 
channels through which AI reshapes GVCs — task automation, lower coordination 
and trade costs, greater tradability of services, and the concentration of data, computing 
power and rents — and assesses them using simulation results and statistics published 
by the WTO, the IMF, UNCTAD and the World Bank. The analysis shows that the 
distribution of gains is determined less by the technology itself than by complementary 
capabilities: in the WTO benchmark scenario, income gains by 2040 reach 14 per cent 
in high-income economies but only 8 per cent in low-income ones, while with better 
digital infrastructure and broad AI adoption low-income economies could gain 15 per 
cent.

References

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Published

2026-10-13

How to Cite

ARTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF GLOBAL VALUE CHAINS: IMPLICATIONS FOR DEVELOPING ECONOMIES. (2026). ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 103(1), 53-71. https://alpharesearchs.com/index.php/obr/article/view/5278