Core Insights - The integration of AI into traditional industries, such as steel, is becoming a significant topic, with experts emphasizing the shift from tool application to deep embedding in business processes, enhancing efficiency and reshaping business models [1][5] Group 1: AI in Steel Industry - FindSteel Network is a pioneer in applying AI within the steel distribution sector, addressing challenges in B2B transactions by automating information processing and improving efficiency [3] - The steel industry is currently experiencing a transformation, with high demand for industrial steel and declining demand for construction steel, prompting the need for AI to reduce costs and enhance efficiency [3] - FindSteel Network has developed technologies that automate the processing of supplier quotes and customer inquiries, significantly improving operational efficiency [3] Group 2: AI's Broader Impact - AI is expected to have a structural impact across various industries, including energy, light industry, infrastructure, medical, and electronics, prompting industry leaders to leverage AI capabilities to reshape supply chains [5] - Companies like Alibaba and Baidu are utilizing AI to create new paradigms in foreign trade and B2B growth, respectively, focusing on intelligent collaboration and data-driven strategies [5][6] - The importance of establishing standards, ecological collaboration, and cross-entity cooperation is highlighted as essential for the sustainable and scalable application of AI in industries [6] Group 3: Future Directions - The integration of AI with traditional industries is seen as a means to enhance China's manufacturing capabilities and improve its position in the global supply chain [6] - The Chinese Electronic Commerce Association emphasizes the need for an open and fair environment in global digital trade to support all enterprises [6]