《实体经济和数字经济深度融合发展报告（2025）——“人工智能+”创新应用》发布

Core Insights - The report titled "Integration of Real Economy and Digital Economy Development Report (2025) - 'Artificial Intelligence +' Innovation Applications" was released during the 2025 Digital Technology Innovation Development Conference, focusing on the practical applications of digital empowerment in various industries [1][2][3] Group 1: AI Empowerment in Manufacturing - Accelerating the application of artificial intelligence in the manufacturing sector is deemed significant, as it enhances data collaboration and reuse, improves operational efficiency, and promotes intelligent manufacturing [5] - The report emphasizes the importance of creating a "people-centered" intelligent society, where AI advancements benefit the public, particularly in education, transforming traditional teaching methods into task-driven and intelligent support systems [5] Group 2: AI's Impact on Consumption - Artificial intelligence is reshaping the consumer market by optimizing production, circulation, and recommendation processes, leading to improved quality of digital consumption [5] - AI is also diversifying consumption models, particularly in traditional labor-intensive sectors like cultural tourism and local services, pushing them towards knowledge-intensive "intelligent-driven services" [5] Group 3: AI in Government and Public Services - In the realm of government and public services, AI is driving significant governance changes, enhancing service efficiency through applications like "one-stop service" and intelligent approval processes [6] - The report highlights a shift from passive service responses to proactive and precise service delivery, significantly improving user experience [6] Group 4: Future Pathways and Recommendations - The report suggests that the integration of AI with the real economy will accelerate industrial transformation and economic growth, supported by a series of policy implementations aimed at enhancing digital infrastructure [6][7] - Recommendations for promoting high-quality development of "AI +" include advancing digital infrastructure, constructing a data factor market system, and strengthening the supply of technology, talent, and scenarios to foster a new ecosystem for integration [7]