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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


                    not only affected bilateral trade between China and the United States, but also posed
                    a challenge to the security and stability of the global technology supply chain.

                    Data Sovereignty and Strengthening of Digital Barriers.  Data has become a new
                    production factor and trade asset, and countries are rapidly paying more attention to "data
                    sovereignty". The General Data Protection Regulation (GDPR) launched by the European
                    Union, China's data outbound review mechanism, and the digital platform regulatory
                    rules of the United States all reflect the tough stance of various countries in protecting
                    their own data resources and network security. The "digital barriers" formed by this are
                    restricting cross-border data flows and increasing the uncertainty of global digital trade.

                    Geopoliticization  of  Standard  Setting.  Technical  standards  in  fields  such  as  AI,
                    autonomous  driving,  and  intelligent  manufacturing  are  becoming  a  new  frontier  of
                    competition between countries. Countries that have the right to set standards will have
                    a first-mover advantage in the international market, while countries that lack the right
                    to speak may be excluded from the new generation of global market access. Taking the
                    European Union as an example, it has gradually established a future-oriented trade rules
                    system through new standards such as green trade, carbon tariffs and digital taxes.

                    The Necessity of Policy Response and Global Coordination. In the face of new
                    barriers, countries need to strengthen AI industry policies, encourage participation in
                    international  standard  setting  and  technical  cooperation,  and  promote  fair  and
                    transparent global technology and data governance under a multilateral framework,
                    such  as  WTO  e-commerce  issues  and  OECD  digital  tax  negotiations.  The  trade
                    changes caused by AI are not only technical issues, but also about the reconstruction
                    of rules. In the future, international competition will focus on standards, data and
                    institutional  systems,  and  policy  coordination  and  international  cooperation  will
                    become the key to winning the initiative in the new trade pattern.

                    4  PROSPECTS OF ARTIFICIAL INTELLIGENCE AND ROBOTICS FOR
                       THE FUTURE DEVELOPMENT OF GLOBAL TRADE
                    4.1  Evolutionary Trends of Global Trade Structure
                    Artificial intelligence (AI) and robotics are reshaping the fundamental landscape of global
                    trade.  Their  far-reaching  impact  extends  beyond  transforming  production  methods,
                    manifesting in the restructuring of global value chains, adjustments to industrial layouts,
                    and  profound  evolution  in  trade  organization  models.  Traditional  globalization
                    emphasized division of labor efficiency and cost minimization, primarily relying on low-
                    cost labor, resource allocation, and cross-border manufacturing networks. In this new
                    phase of widespread AI adoption, manufacturing activities are witnessing the intertwined
                    evolution of two trends: “deglobalization” and “new globalization.”




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