Page 42 - Azerbaijan State University of Economics

THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.83, # 1, 2026, pp. 40-57

artificial intelligence technologies are being applied widely across multiple sectors,
including financial services, healthcare diagnostic systems, autonomous vehicles, and
customer support systems, reflecting their transformative potential across both
high-tech and traditional domains (Rashid & Kausik, 2024). Especially during the
COVID-19 pandemic, AI has demonstrated significant public welfare value in many
key areas such as health, education, agriculture, energy, law enforcement and judicial
decision-making, further proving its deep integration and mutual promotion with the
real economy (Tian et al., 2022).

In the economic field, AI enables machines to make autonomous decisions and
optimize operations through data analysis, machine learning and deep learning
algorithms, significantly improving production efficiency, reducing costs and
improving product quality. Robotics replaces traditional labor with automated
systems to improve the speed and accuracy of production processes. In the
manufacturing and logistics industries, AI and robots work together to achieve large-
scale automation and intelligence. Such technology applications are not limited to the
production process, but also cover supply chain management, market forecasting,
customer service and other fields, bringing profound changes to global trade.

2.2 Direct Impact of Artificial Intelligence and Robots on Trade
The direct impact of artificial intelligence (AI) and robotics on trade can be roughly
summarized into the following five aspects.

1. In terms of improving production efficiency and reducing costs. Research shows
that industrial robots, as a key component of AI and automation, significantly enhance
productivity and reduce production costs by enabling more accurate, efficient
operations and improving product quality across manufacturing sectors (Wu, 2025).

2. In terms of optimizing supply chain and logistics management. Recent research
indicates that artificial intelligence and robotics significantly enhance supply chain
and logistics management by optimizing inventory control, reducing backlogs, and
improving transportation efficiency through big data analytics and machine learning
techniques (Chen et al., 2024).

3. In terms of accelerating product customization and market response. Research
shows that AI-personalized recommendation technology can significantly enhance
e-commerce user engagement and conversion rates by analyzing multidimensional
consumer data to predict preferences and tailor product offerings (Yin, 2025).
4. In terms of changing comparative advantages and trade structure. Research shows that
industrial robot adoption significantly alters countries’ positions in manufacturing global
value chains, reshaping comparative advantages traditionally based on cheap labor and
contributing to redistributions in trade and cooperation structures (Yuan & Lu, 2023).

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