传媒：AI漫剧：技术进步促进行业发展

Investment Rating - The industry rating is "Outperform the Market" indicating that the overall return of the industry is expected to exceed the market benchmark index by more than 5% in the next 6 months [15]. Core Insights - The AI comic industry is experiencing explosive growth driven by technological advancements, with AI tools significantly enhancing production efficiency and reducing costs [2][3]. - Traditional production methods for dynamic comics take approximately 90 days, but with AI integration, this can be reduced to 10-13 days, achieving nearly a 90% reduction in production time [3]. - The cost per AI comic episode is currently between 100,000 to 300,000 yuan, with expectations for further decreases as technology matures [3]. - Companies like Bilibili are leveraging their existing anime ecosystem and AI tools to increase content production efficiency, thereby enhancing user engagement [4]. - Bilibili's game division is also thriving, with significant sales figures reported for their new game releases [4]. - Yuewen Group is actively entering the AI comic space, launching initiatives to support creators and enhance content quality, which is seen as a competitive advantage [5]. - The report highlights that high-quality content is becoming a scarce resource due to increasing content homogenization, making Yuewen's extensive IP library a valuable asset [5]. Summary by Sections Industry Overview - The AI comic industry, also known as animated micro-dramas, is categorized into three types: AIGC micro-dramas, dynamic comics, and humorous comics [2]. Company Analysis - Bilibili has established a robust anime ecosystem and is enhancing content production through AI, which is expected to increase user retention [4]. - Yuewen Group is focusing on the comic business by launching a creator partnership program and a special fund to support high-quality content development [5]. Market Dynamics - The report notes that the number of new comic releases on platforms like Douyin has surged, leading to potential audience fatigue due to content similarity [5].