BIDU(US:BIDU) Nan Fang Du Shi Bao·2025-11-20 02:07Core Viewpoint - The article emphasizes the importance of internalizing AI capabilities across various industries to enhance productivity and drive high-quality development [1][3]. Group 1: Internalizing AI Capabilities - Companies face the challenge of internalizing AI capabilities, which can be addressed by driving innovation through new scenarios and enhancing AI application capabilities [3][4]. - Specific AI technologies such as digital human technology, code intelligence, and autonomous driving have shown effective results in various applications [3][4]. - AI can help companies reduce costs, increase profits, optimize decision-making, and discover new growth points, particularly in scenarios with repetitive labor, labor shortages, high-risk jobs, bottlenecks, and complex decision-making [4][5]. Group 2: Industry Integration and AI Growth Engine - Internalizing AI capabilities in key industries like mining, chemicals, light industry, and shipping can strengthen the foundation of the real economy [5][6]. - The example of Baidu's algorithmic intelligence tool "Famu" demonstrates significant efficiency improvements in complex systems such as traffic and logistics [5]. - The integration of AI capabilities tailored to industry characteristics can enhance overall productivity and innovation capacity across sectors [5][6]. Group 3: Strategic Planning for AI Empowerment - There is an urgent need to explore new organizational and management models that facilitate human-machine collaboration in the context of systemic and structural changes brought by AI [6]. - Companies must ensure that AI capabilities permeate every aspect of production, operation, and service, from decision-making to execution [6]. - Baidu plans to increase investment in building advanced intelligent infrastructure and developing cutting-edge large model technologies to support the internalization of AI capabilities across industries [6].