Core Viewpoint - The traditional creative industry in China is undergoing transformation and innovation driven by artificial intelligence technology, presenting both opportunities and challenges [1] Group 1: Content Innovation - Content innovation requires the integration of technology to deeply explore the value of traditional resources, with quality content being a key competitive advantage in cultural dissemination [2] - AI tools stimulate traditional cultural genes, leading to a shift in content creation models, emphasizing the importance of creative transformation and development of cultural resources [2] Group 2: Case Study of Hunan's Intangible Cultural Heritage - Hunan's embroidery, Xiangxiu, has introduced intelligent pattern recognition systems for high-precision digital collection of traditional techniques, creating a structured database to support innovative design [3] - AI-assisted design platforms in Hunan match traditional elements with modern life scenarios, resulting in culturally rich and market-viable creative products [3] - Interactive technologies and media platforms, such as AR and robotics, enhance cultural transmission, allowing audiences to engage with traditional culture in immersive ways [3] Group 3: Reshaping Communication Ecology - The integration of traditional genes with intelligent technology is essential for the active transmission of Chinese traditional culture, utilizing algorithm-driven diverse media forms [4] - The AI-driven micro-drama "Legend of the Dragon" exemplifies the reconstruction of traditional performing arts, immersing audiences in intangible cultural heritage stories [4] - AI analysis engines optimize communication strategies based on real-time audience interaction, transforming local art into a globally participatory living heritage [4] Group 4: Enhancing Communication Efficiency - Intelligent modeling technology identifies international audience preferences for elements like Xiangxiu techniques and Huagu Opera singing styles [5] - Generative AI customizes content chains for overseas audiences, dynamically adjusting documentary pacing based on user behavior analysis [5] - AI builds cultural translation bridges for traditional intangible heritage, demonstrating its profound reshaping capability in the creative industry [5] Group 5: Future Directions - The traditional creative industry must seek balance and solutions through integrated development, actively pursuing transformation and innovation [6] - Emphasis on "human-machine collaboration" is crucial for leveraging AI's data processing capabilities to enhance traditional skills and cultural understanding [6] - Intelligent tools should empower creative expression and expand the narrative boundaries of traditional culture, activating the vitality of cultural heritage in contemporary society [6]