易点天下AI行业解决方案负责人Felisa Fei表示，此次与阿里云的合作，将依托双方在技术、资源、市场 与服务上的协同效应，系统性地解决AI漫剧从产能提升到商业闭环的关键挑战。阿里云智能集团公共 云事业部西部大区西北业务总监徐强指出，双方在八年合作中共同见证了中国出海产业的演进，面对 AI内容时代的到来，有信心通过共建垂直行业解决方案，助力中国动漫与文化产业在全球市场实现更 大突破。 近日，国内领先的智能营销与企业出海服务商易点天下(301171)与阿里云正式达成AI漫剧出海框架合作 协议，双方将整合资源、互补优势，共同打造业内首个面向"AI漫剧出海"赛道的全链路加速增长引擎， 为中国动漫内容走向全球市场提供从算力支持、内容生产到营销变现的一站式解决方案。 当前，AI内容产业正迎来爆发式增长。数据显示，2025年以来，国内AI漫剧周均在投剧目已突破110 部，累计上线作品达3000部，环比增幅高达603%，用户播放量与点赞量也呈现近翻倍增长。与此同 时，中国动漫出口规模预计将在2025年突破200亿元，海外用户总量从2020年的2000万跃升至5000万， 其中东南亚市场占有率已达35%。面对这一高速增长的 ...

以下文章来源于36氪出海 ，作者36氪出海 36氪出海 . 36氪出海（letschuhai.com）是关注出海的行业媒体，为企业跨境提供海外咨询及专业服务，同时运营着超万人的出海生态社群。 中国无人机厂商亮相迪拜航展 来源｜ 36氪出海（ID：wow36krchuhai） 封面来源 ｜ Unsplash 腾讯混元3D即将面向海外用户开放 易点天下与阿里云达成AI漫剧出海框架合作协议 11月16日消息，易点天下与阿里云联合宣布，已达成AI漫剧出海框架合作协议。双方将通过资源整合与能力互补，在"AI漫剧出 海"这一高速增长的新兴赛道上，联合打造从基础算力支持到内容产能提升再到营销变现商业化价值落地的全链路垂直解决方案， 构建首个中国AI漫剧出海加速增长引擎。（36氪） 阿里国际站面向全球市场推出AI Mode 11月17日消息，阿里国际站将面向全球市场推出AI Mode，用AI Agent帮全球中小企业全自动地执行跨境电商采购流程。AI Mode 对行业理解更深，可以帮买家更快更准决策；能用AI Agent的能力一键搞定琐碎工作，让买家告别重复劳动；可以多模态挖掘隐 藏的供应链信息，让买家考虑更全面、匹配更精准 ...

Core Insights - The rise of "manhua dramas" has overtaken short dramas as the hottest trend in the content industry, with Douyin aiming for a daily consumption target of 24 million by the end of the year and the market expected to exceed 20 billion yuan by 2025 [1][6][12] Group 1: Industry Dynamics - The cancellation of guaranteed payments for short dramas has accelerated the exit of many producers, leading to a shift towards manhua dramas, which will attract more players into the industry [1][6] - Major platforms like Baidu, Tencent, and iQIYI are investing heavily in manhua dramas, providing funding, IP, and computational resources to stimulate production [1][12][20] - The competition among platforms is intensifying, with each aiming to capture user engagement and viewing time, particularly among younger audiences [3][12][16] Group 2: Production and Talent Acquisition - Companies like Lingju Animation have transitioned from short dramas to manhua dramas, significantly increasing their production capacity, with plans to produce 100 manhua dramas per month [7][9] - The demand for talent in the manhua drama sector is rising, with companies rapidly recruiting to build their teams [9][11] Group 3: Platform Strategies - Platforms are adopting various strategies to support manhua drama production, including revenue-sharing models and incentives for creators based on the number of new releases [15][16] - Baidu has established a dedicated team for manhua drama production, leveraging its AI capabilities to enhance content quality and reduce costs [14][20] - iQIYI's approach is to encourage rapid content creation without imposing strict limitations on themes or styles, aiming for a diverse range of offerings [16][24] Group 4: Advantages of Manhua Dramas - Manhua dramas have the potential for greater creativity and efficiency compared to traditional short dramas, as they are less constrained by production costs and can leverage AI for enhanced quality [21][23] - The series format of manhua dramas allows for ongoing audience engagement and feedback, enabling continuous content updates and adaptations [23][24] - The integration of IP series into manhua dramas is seen as a significant opportunity for platforms to maximize content value and user retention [24][25]

Core Insights - The article discusses the evolution of AI-generated short films, highlighting their transition from novelty to a legitimate storytelling medium that can engage a broader audience [1][8]. Group 1: AI Short Film Competitions - Major streaming platforms like iQIYI and Tencent Video are actively promoting AI short film competitions, with thousands of submissions leading to the selection of award-winning works [2][4]. - The NEXTGEN global new imaging creation competition received over 4,600 submissions, showcasing the growing interest and talent in AI-generated content [4]. Group 2: Technological Advancements in AI Video - AI video technology has significantly advanced, with improvements in storytelling, animation styles, and character consistency, making it a viable medium for creative expression [8][39]. - The article notes that by 2025, AI video will reach a level of sophistication that allows for complex narratives and emotional depth, moving beyond simple animations [8]. Group 3: Notable AI Short Films - The article highlights several award-winning AI short films, such as "燕赤霞" and "狗王传说," which demonstrate innovative storytelling techniques and unique animation styles [10][12]. - "老妈的心愿" is praised for its emotional depth and technical execution, indicating that strong narratives can elevate AI-generated content [35]. Group 4: Market Trends and Future Projections - The rise of AI short films is expected to disrupt traditional filmmaking, with predictions that AI short dramas could capture 30%-35% of the micro-drama market by 2027 [41][43]. - Streaming platforms are investing in AI content creation, with initiatives to support new creators and develop AI-driven narratives, indicating a shift in content production strategies [39][41].

以下文章来源于惊蛰研究所 ，作者惊蛰研究所文娱组 惊蛰研究所 . 探索发现新经济。 来源丨 惊蛰研究所（ID：jingzheyanjiusuo） 作者丨夏夏 简单来说，AI漫剧就是以小说或剧本等文字素材为基础，借助AI生成分镜、角色配音以及背景音乐并 融合而成的"动态视觉小说"。今年以来，AI漫剧领域已经出现了《从娘胎开始逆袭》《刷爆无敌模拟 系统》《我在末日当僵尸》等多部爆款剧集。 从早期仅为网络小说搭配AI插图的简单尝试，到如今实现全流程AI生成、每集1-3分钟的AI漫剧，内 容产业似乎又一次站在了变革的十字路口。 当AI"学会"演戏 漫剧其实并非什么新鲜事物。在二次元领域，很早就有一种用AI图片演绎小说情节，为小说引流 的"小说漫"。但如今的漫剧，已然发展为独立的剧集形态。 据惊蛰研究所观察，目前AI漫剧大致可以分为沙雕漫与动态漫两类。其中，沙雕漫剧以"熊猫头"等表 情包为代表元素，主打剧情荒诞搞笑，用融梗、反转来制造密集笑点，由于制作门槛并不高，其制作 成本相对较低，市场需求也相对稳定。 图源丨MIdjourney 2024年，中国微短剧的全国市场规模已达505亿元，并且有望在2025年攀升至634. ...

Core Viewpoint - Generative AI (GenAI) is igniting a profound paradigm shift in content production, breaking down barriers to high-quality dynamic content generation and pushing complex creative work into the realm of machines. This technological advancement brings both strategic anxiety and opportunity to the cultural industry, prompting a comprehensive rethinking of existing value chains, business models, and content ecosystems [2]. Group 1: Application of GenAI - In fields like online literature and music, GenAI is widely applied throughout the entire production process, with platforms embedding easily accessible AI generation tools, leading to generalized and socialized creative capabilities. The industry widely believes that content creation should adhere to "human-machine collaboration" while enhancing production efficiency through "engineering" [7]. - GenAI's fundamental difference from previous technologies lies in its potential to replace certain human capabilities, evolving into a "new species" that competes directly with humans. AI-generated content will "eliminate mediocrity," forcing human creators to strive for higher quality, shifting the industry from "quantity competition" to "quality competition" [7]. - The emergence of "super individuals" or "micro-teams" will become the new norm, with "human-machine collaboration" as the core competitive advantage. Future content producers must be adept at harnessing AI, acting as "directors" or "architects" in the creative process [7]. Group 2: Impact on Cultural Industry - GenAI will disrupt the existing interests within the cultural industry, with copyright confirmation and revenue distribution becoming core challenges and significant opportunities for reshaping the industry. The potential for "super individuals" to bypass intermediaries and connect directly with consumers may lead to new business models [8]. - Consumer acceptance of AI-generated content hinges on content quality. GenAI is driving a shift in consumer motivation from superficial "emotional stimulation" to deeper "emotional and value recognition," creating a new blue ocean of content composed of numerous small yet exquisite IPs [8]. - The traditional "talent growth path" in the content industry may face disruption due to GenAI, which excels in "diversity" but poses challenges in "controllability." There is a need to be cautious about AI eroding the significance of creation and the soil for talent growth [9]. Group 3: Insights from Industry Experts - Industry experts emphasize that while GenAI is making strides in various cultural content forms, the actual implementation of "cost reduction and efficiency enhancement" in content production remains to be fully realized. The current capabilities of GenAI are still limited, and human creators will continue to play a crucial role in high-quality outputs [10]. - The music industry is witnessing a significant shift, with many companies adopting AI for music creation and production processes. However, while AI can generate music, it still relies heavily on user input and creativity to achieve desired results [11]. - The concept of "content engineering" is gaining traction, where the creative process is standardized and can be automated to a degree, allowing for rapid production of content while still requiring human creativity for high-quality outcomes [12]. Group 4: Future of Content Production - The future landscape of content production may see a shift towards direct engagement between creators and platforms, with the potential for individual creators to establish their own brands and sell their works directly to consumers [24]. - The emergence of new roles in the music industry, such as those who can effectively collaborate with AI tools, will be crucial. The industry may see a rise in "bedroom musicians" who can independently create and monetize their music using AI [20]. - The acceptance of AI-generated content by consumers will depend on the perceived quality of the output. As AI-generated works improve, consumers may become indifferent to whether content is created by humans or machines, leading to a potential oversaturation of average-quality content [27][28]. Group 5: Concerns and Challenges - There are concerns that the rise of AI in content creation may lead to a lack of growth opportunities for emerging creators, as reliance on AI could hinder the traditional learning and development processes necessary for becoming skilled authors [31]. - The music industry may face significant challenges as AI-generated music becomes more prevalent, potentially displacing many current musicians and altering the landscape of music creation [32]. - The relationship between human creativity and machine-generated content presents a "impossible triangle" scenario, where achieving low labor costs, low machine costs, and high-quality output simultaneously may not be feasible [33].

Core Insights - AI Manhua has emerged as a new content category pursued by short drama creators this year, with Douyin's marketing service platform, Juyuan Engine, recently doubling its daily advertising expenditure [2][3] - The short drama industry experienced rapid growth last year, but has faced increased competition this year, leading to a decline in revenue for many production companies [3][4] - AI Manhua production costs are significantly lower compared to traditional short dramas, with AI potentially improving production efficiency by 50% to 80% [6][7] Industry Overview - The number of products related to Manhua/Anime micro-dramas exceeds 19,000, with over 4,000 products having been advertised in the last 30 days [3] - Only 20% of short drama works are currently profitable, with most needing to achieve over 40 million views to be considered successful [4] - The production cost for Manhua is reduced from 2,000-5,000 RMB per minute to 1,000-2,500 RMB with AI [6] Company Strategies - Kuaishou is actively entering the AI Manhua space, having launched the first AIGC short drama and is investing significant resources into collaboration with AIMCN institutions [6][7] - Douyin remains the primary platform for AI Manhua creators, while Kuaishou's user base for AI Manhua has reached over 4 million within six months [7] - The most profitable approach for AI Manhua currently is to publish on Douyin, while Kuaishou is still viewed with caution by many production companies [7]

Group 1 - The article discusses the rapid development of artificial intelligence (AI) technology and its potential investment opportunities [3] - Oracle's bonds have recently faced selling pressure due to plans to increase its debt by $38 billion to fund AI infrastructure, leading to a rise in bond yields [5] - Xiaomi is increasing its investment in 6G technology research and standardization, with its AI wireless technology prototype recognized at a 6G development conference [6] - Easy Point and Alibaba Cloud have formed a partnership to create a framework for AI comic series to accelerate growth in this emerging market [8] - Huawei is set to release breakthrough AI technology aimed at improving the utilization efficiency of computing resources from an industry average of 30%-40% to 70% [9] Group 2 - Tim Cook may step down as CEO of Apple as early as next year, with John Ternus seen as a likely successor [11] - Warren Buffett's Berkshire Hathaway reported significant stock movements, including selling Apple shares and buying Alphabet shares, in its last 13F report before Buffett's retirement [12] - Google plans to invest $40 billion in building three data centers in Texas, creating thousands of jobs and supporting local energy affordability initiatives [13][14] - Tesla has extended the deadline for a graphite supply agreement with Syrah Resources, which has faced issues in meeting delivery requirements [15]

Core Insights - The AI comic drama industry is rapidly adopting the MCN (Multi-Channel Network) model, with major platforms like Kuaishou, iQIYI, Bilibili, and Douyin launching initiatives to support creators and reduce entry barriers [1][2][4][9] - The shift to an account-based model allows platforms to alleviate financial pressures associated with high production costs, transferring responsibility to individual content creators [2][8][16] Group 1: Industry Developments - Kuaishou initiated the "Inspiration New Era AIGC Investment Plan" in September, offering substantial resources for AI comic drama projects [1] - iQIYI and Bilibili followed with their own plans to encourage diverse creators, focusing on low-threshold collaboration and revenue sharing [1][4] - Douyin updated its incentive policies for high-quality comic dramas, enhancing support for the monetization process [1] Group 2: Market Dynamics - The short drama market has become increasingly competitive, with nearly 40% of new productions failing to recoup costs in the first half of the year [2][4] - Rising production costs for live-action dramas, averaging around 500,000 yuan, have prompted platforms to seek new operational models [4][8] - The AI comic drama model offers a solution by enabling low-cost, flexible content creation, which is essential for platforms facing user retention challenges [4][8][9] Group 3: Advantages of AI Comic Dramas - AI comic dramas can quickly adapt to market trends and user feedback, allowing for rapid content iteration and lower production costs [7][15] - The ability to create reusable digital assets enhances the potential for long-term IP development, contrasting with the limitations of live-action productions [7][8] - The current environment allows for a significant increase in supply, with over 5,000 AI comic dramas launched in six months, reflecting an 83% month-over-month growth rate [15] Group 4: Future Outlook - The transition to an account-based model is seen as a strategic move to build a sustainable creator ecosystem, reducing reliance on subsidies over time [16] - As the market matures, the focus will shift to achieving profitability through content quality rather than initial financial incentives [16]

Core Insights - Generative AI (GenAI) is igniting a profound paradigm shift in content production, breaking down barriers to high-quality dynamic content generation and pushing complex creative work into the realm of machines. This technological advancement brings both "strategic anxiety" and "opportunity desire" to the cultural industry, prompting a reevaluation of existing value chains, business models, and content ecosystems [2] Group 1: GenAI's Impact on Content Production - GenAI has penetrated various cultural content production processes, with varying degrees of involvement across different segments. It can effectively replace repetitive labor and high-cost production stages, but it cannot achieve cost reduction and efficiency in all areas, as some tasks still outperform machines [6] - The overall scale of AI-native content is expected to grow rapidly, particularly in areas like AI short videos and AI comics. As GenAI's capabilities expand, new workflows of "human-machine collaboration" will emerge, leading to real-time dynamic content generation that meets consumer demands instantaneously [6][12] - GenAI empowers individual content creators, leading to the emergence of new types of producers characterized by individualization, small scale, and cross-domain collaboration. While social specialization will change due to AI, the concept of "division of labor" will persist, with specialized content producers mastering "human-machine collaboration" becoming mainstream [6] Group 2: Changes in IP and Business Models - The traditional IP operation models, copyright definitions, and profit distribution mechanisms in the cultural industry will undergo changes, with specific attempts already observed in the short video sector. However, comprehensive industry transformation will require further exploration [6] - The concept of copyright may fundamentally change, with potential new models emerging where content is not owned by a single entity but rather shared among participants. This necessitates new rules and legal frameworks [20] - The commercial ecosystem driven by AI will undergo a fundamental restructuring, shifting from explicit advertising to on-demand production based on user desires. This could lead to the emergence of transient IPs that exist only for short periods to meet immediate sales goals [20] Group 3: Consumer Acceptance and Concerns - Consumers are likely to accept AI-generated content as long as it meets their basic quality standards. New payment models may arise based on whether content satisfies individual consumer needs, with GenAI potentially raising the average quality of content and eliminating inferior offerings [7][21] - Concerns exist regarding the ability of GenAI to replace the traditional learning and training processes required for developing professional talent in the industry. The controllability of GenAI's capabilities is also a significant concern [7][25] - The current challenge lies in the insufficient capabilities of generative AI, which may lead to a harsh price war in the industry, resulting in an influx of homogeneous, low-quality content that could overshadow high-quality productions [25]