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Li Ting: The Impact of Artificial Intelligence and Robotics on International Trade: A Study
                                 on the Reshaping of the Global Value Chain and the Transformation of Trade Patterns


                    Second, industrial clusters are increasingly recognized as strategic drivers in global
                    value  chains,  facilitating  regional  supply  chain  integration,  innovation,  and
                    cooperation in response to global economic and societal challenges (Haus-Reve &
                    Gilsing, 2024). The application of smart technologies enables companies to respond
                    more flexibly to shifting market  demands, leading them to  prefer locating supply
                    chains closer to consumer markets. The rise of regional supply chains shortens the
                    time-to-market for products, reduces logistics costs, and lowers the risk of supply
                    chain  disruptions.  For  instance,  following  the  COVID-19  pandemic,  many
                    multinational  corporations  prioritized  supply  chain  resilience  by  concentrating
                    operations closer to major markets—a trend particularly pronounced in North America,
                    Europe, and East Asia.

                    Third, AI-driven “nearshoring” and “reshoring” practices are gaining traction. AI and
                    robotics enable companies to reestablish automated production facilities domestically
                    in developed nations. This “relocalization” trend reduces time delays and uncertainties
                    caused by international shipping in supply chains, further propelling the shift in global
                    trade patterns from globalization toward localization. For instance, Adidas returned
                    production to Germany by deploying its Speedfactory smart manufacturing facilities,
                    successfully  achieving  rapid  market  response  with  customized  products  and
                    significantly enhancing supply chain efficiency.

                    In summary, the adoption of digital and automation technologies, including AI and
                    robotics,  is  closely  associated  with  the regionalization of  global  value  chains,  as
                    production networks shift toward more localized and proximity-based configurations
                    in  response  to  technological  change  (Giunta,  Marvasi  &  Sforza,  2025).  This
                    transformation not only enhances production efficiency and supply chain resilience
                    but  also  profoundly  reshapes  global  industry  layouts  and  trade  flow  directions.
                    Moving forward, businesses and governments must proactively adjust strategies and
                    policies to address both the opportunities and challenges presented by this new trade
                    paradigm.

                    The following is a collection of statistics on the global trade structure in 2010 and
                    2023, and a comparative analysis of the changes in the global trade structure:














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