Core Viewpoint - The video model industry is unlikely to see a dominant player emerge, with multiple companies competing and innovating in the space [1][9]. Group 1: Industry Overview - Recent months have seen the launch of several new video models, including Vidu, Hailuo-02, and MuseSteamer, indicating a growing interest in video generation technology [1]. - Despite the recent updates, the video model sector has not attracted as much market enthusiasm as other AI fields, such as intelligent agents [1]. - UBS research suggests that competition in the video model space will not be as fierce as in large language models due to limitations in video training data [1]. Group 2: Market Dynamics - The video model market is characterized by a mix of large tech companies and emerging startups, with a focus on improving model efficiency and accelerating product commercialization [1][3]. - The complexity of video generation, including the significant data storage requirements compared to text, presents challenges for development and commercialization [4]. - Investment sentiment in the video model sector is cautious, with investors concerned about the gap between cost pressures and monetization opportunities [4]. Group 3: Business Models - Current monetization strategies for video models include API services, subscriptions, advertising, and customized solutions, with B2B models being clearer than B2C [7]. - Companies like Kuaishou and Shensu are offering tiered subscription services, while others focus on API solutions for various industries [7][8]. - Kuaishou's Keling AI achieved an annual recurring revenue (ARR) of over $100 million within ten months of launch, highlighting the potential for revenue generation in this space [7]. Group 4: Market Growth Projections - The global AI video generator market is projected to grow from $614.8 million in 2024 to $2.5629 billion by 2032, with a compound annual growth rate (CAGR) of 20.0% from 2025 to 2032 [8]. - In contrast, the estimated growth rate for large language models is approximately 35.92%, indicating differing growth trajectories between these two sectors [8].

文｜新经济观察团 4月14日，作为"大模型六小龙"中的一员，北京智谱华章科技股份有限公司（以下简称"智谱AI"），正 式踏上了冲刺IPO的道路。据中国证监会官网显示，智谱AI已向北京证监局提交上市辅导备案，辅导机 构为中金公司。这也是"大模型六小龙"中首家启动IPO进程的公司。 作为一家备受瞩目的人工智能独角兽企业，智谱AI自成立以来便吸引了包括美团、蚂蚁在内的众多知 名投资方。截至目前，公司累计已完成19轮融资，成为资本市场的宠儿。 但在光环背后，智谱AI依旧面临着诸多挑战，被曝出巨额亏损、商业化落地的艰难推进，以及频发的 用户投诉等问题，依然困扰着公司的发展步伐。在冲刺IPO的关键节点上，如何讲好资本故事、让AI技 术不再仅仅停留在概念层面，对于智谱AI而言是亟待解决的重大课题。与此同时，这场承载着"中国版 OpenAI"期待的IPO，正成为检验大模型商业成色的试金石。 被曝业绩亏损约20亿，全栈自研令盈利承压 智谱AI成立于2019年，至今刚刚六个年头。但在大模型创业赛道中，智谱AI可以算得上是一位"老 人"了。中国"大模型六小龙"之中，除智谱AI外，其他五家独角兽成立时间均晚于智谱AI。月之暗面、 百 ...