从去年火遍国内外的《黑神话：悟空》游戏，到16个身着红棉袄的人形机器人在春晚舞台上翩翩起舞，再到今年4月马拉松赛事上的"人机共跑"。AI已慢慢 融入多个娱乐场景中，为大众感带来不同以往的文娱体验。 不止于此，无论是前期的内容创作、制作，还是后期的分发与传播，AI正以惊人的速度渗透进文娱行业，改变着行业的面貌与格局。同时也开启新未来。 AI文娱全面开花 一个不争的事实，人工智能（AI）浪潮正在席卷全球。据研究机构Precedence Research预测，2025年全球人工智能市场规模将达到2.3万亿元，同比增长 38%。伴随着大众娱乐消费趋向个性化、多样化、智能化，AI开始向文娱行业蔓延。如今，AI正以全链条渗透的态势，在音乐、电影、阅读、游戏等文娱各 场景中纷纷落地。 比如游戏，去年上线的首款国产3A游戏《黑神话：悟空》，除了虚幻引擎、碰撞检测等技术外，还有全景光线追踪、行为树和有限状态机等AI技术的大量 应用。由此成就了极为逼真的游戏画面，为游戏爱好者带来了前所未有的沉浸式娱乐体验。有成效，自然是AI应用其中的首要因素，据《AI+游戏产业变革 研究报告》显示，AI在核心架构与底层设计、叙事与角色塑造等8大 ...

Core Viewpoint - The launch of the AI-integrated micro-drama "Zhetian" by Zhangyue demonstrates the potential of AI technology in enhancing visual storytelling while respecting the original literary work [1][20]. Group 1: Launch and Reception - "Zhetian" was launched on June 20 across multiple platforms, including Douyin and the SuKan Short Drama APP, generating over 100 million discussions online [2][7]. - The pre-launch marketing strategy included significant engagement on social media, leading to a reservation count of 54,000 on the existing apps [4][6]. Group 2: AI Application in Production - The adaptation process involved extensive analysis and collaboration with original creators, ensuring a high fidelity to the source material, which consists of over 1,800 chapters and 6.5 million words [8]. - AI was utilized throughout the production process, from character design to modeling and rendering, allowing for a streamlined creative workflow [9][18]. - Specific scenes, such as the "Nine Dragons Coffin," showcased advanced AI effects that enhanced the visual realism and fidelity to the original descriptions [10][12]. Group 3: Current Trends in AI Micro-Drama - AI has become a crucial tool in the production of sci-fi and suspense micro-dramas, with a notable increase in AI-generated content expected in the latter half of 2024 [15]. - The integration of AI in micro-drama production has led to cost reductions and enhanced creative capabilities, allowing for the realization of complex scenes that would be challenging to produce traditionally [17][19]. - The ongoing advancements in AI technology are improving the quality of micro-dramas, addressing previous limitations such as script coherence and character animation [19].

Core Insights - The integration of AI technology is transforming the film industry, with significant advancements in AI-generated content and its applications in filmmaking [1][2][3] - AI-generated short films and animations are emerging, showcasing improved quality and potential for profitability, which could reshape the industry [2][3][4] - The development of specialized AI models tailored for film production is essential for meeting industry demands and enhancing content quality [4][5] Group 1: AI Technology in Film Production - AI technology has been used in traditional film production since 2017, initially for video material restoration [2] - Recent films have utilized AI for virtual shooting and special effects, reducing production costs significantly [2][8] - The emergence of fully AI-generated videos is anticipated, with improvements in continuity and quality observed in recent productions [3][4] Group 2: Challenges and Development Trends - Current AI-generated content faces challenges in achieving the nuanced performances of human actors, particularly in emotional expression [3][5] - The need for a specialized AI film production system is highlighted, requiring the development of proprietary AI models tailored to the film industry [4][5] - A shortage of interdisciplinary talent that understands both film production and AI technology is a significant barrier to progress [5][6] Group 3: Impact on the Film Industry - The rise of AI-generated characters may lead to a restructuring of actor demand, with potential implications for actor compensation [7][8] - AI technology is expected to enhance efficiency in film production, allowing for significant cost reductions and resource accessibility [8][9] - The potential for AI-generated content to drive innovation in the film industry is recognized, with implications for other sectors such as education and advertising [9]