Core Insights - The World Trade Organization's report predicts that with appropriate policy support, AI applications could drive global trade growth by nearly 40% and increase global GDP by 12% to 13% by 2040, highlighting the significant potential of AI technology [1][4] Group 1: Impact on Global Trade - AI is expected to significantly reduce trade costs by improving efficiency in traditional international trade processes such as information search, contract signing, cross-border payments, and logistics, with smart customs systems potentially shortening clearance times by 70% and AI-driven supply chain management reducing logistics costs by 20% to 30% [1] - AI-driven smart manufacturing systems are reshaping global value chain dynamics, allowing developing countries to integrate more easily into global trade by responding flexibly to market demand changes and creating new trade categories through innovation [1] Group 2: Inclusion of SMEs - AI-driven trade platforms are lowering barriers for small and medium-sized enterprises (SMEs) to participate in global trade, providing tools for global market access, multilingual customer service, and smart marketing, thus enhancing the inclusivity and accessibility of global trade [2] Group 3: Challenges and Solutions - The development of global trade through AI faces challenges such as the digital divide, with developed countries having advanced infrastructure and resources while many developing nations struggle with weak digital foundations and talent shortages. Effective international cooperation is needed to address these issues [2] - Strengthening international cooperation on digital infrastructure is crucial to help developing countries improve network coverage and reduce digital access costs, while also sharing technology and knowledge to bridge the digital divide [2] Group 4: Policy Recommendations - Countries should establish an open, inclusive, and non-discriminatory AI trade policy environment, avoiding unnecessary trade restrictions and fostering dialogue through multilateral platforms like the WTO to create a predictable policy environment for AI-enabled trade [3] - Developed countries should support the capacity building of developing nations in AI through technology transfer and training, while international organizations can facilitate knowledge sharing and promote successful AI applications in trade [3] Group 5: China's Role - China plays a significant role in promoting global trade through AI, possessing a complete AI industry ecosystem and leading capabilities in e-commerce, smart logistics, and digital payments. China is encouraged to participate in global governance of AI and share its successful experiences to contribute to a balanced and inclusive global trade framework [3]

Core Insights - The World Trade Organization's report predicts that with appropriate policy support, AI applications could drive global trade growth by nearly 40% and increase global GDP by 12% to 13% by 2040, highlighting the significant potential of AI technology [1][4] Group 1: Impact on Trade Costs and Efficiency - AI can significantly reduce trade costs by improving efficiency in traditional international trade processes such as information search, contract signing, cross-border payments, and logistics. For instance, intelligent customs systems can shorten clearance times by 70%, while AI-driven supply chain management can lower logistics costs by 20% to 30% [1] Group 2: Reshaping Global Value Chains - AI-driven smart manufacturing systems enhance production flexibility, allowing for quicker responses to market demand changes, thus facilitating the integration of developing countries into global value chains. Additionally, AI is creating new trade categories through product design and innovation, such as smart home devices and autonomous vehicles [1] Group 3: Inclusion of SMEs in Global Trade - AI-driven trade platforms are lowering barriers for small and medium-sized enterprises (SMEs) to participate in global trade by providing global market access, multilingual customer service, and smart marketing tools, thereby enhancing the inclusivity and accessibility of global trade [2] Group 4: Challenges and International Cooperation - The advancement of AI in global trade faces challenges such as the digital divide, with developed countries having superior infrastructure and talent compared to many developing nations. To maximize AI's potential in trade, international cooperation is essential to improve digital infrastructure and reduce the digital gap [2] Group 5: Policy Environment and Capacity Building - Establishing an open, inclusive, and non-discriminatory AI trade policy environment is crucial. Countries should avoid unnecessary trade restrictions and work through multilateral platforms to create standards and reduce trade barriers. Additionally, developed nations should support capacity building in developing countries through technology transfer and training [3] Group 6: China's Role in AI and Global Trade - China possesses a comprehensive AI industry ecosystem and is a global leader in AI applications related to e-commerce, smart logistics, and digital payments. The country is encouraged to actively participate in global AI governance and share successful experiences to support the capacity building of developing nations [3]