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快手可灵AI全年预计收入1.4亿美元 创始人称视频生成技术远未成熟
Zhong Guo Jing Ying Bao· 2025-11-20 13:46
Financial Performance - Kuaishou Technology reported total revenue of 35.6 billion yuan for Q3 2025, representing a year-on-year growth of 14.2% [2] - Adjusted net profit reached 5 billion yuan, with a year-on-year increase of 26.3%, indicating stable operational growth [2] - Revenue from online marketing services was 20.1 billion yuan, up 14% year-on-year; live streaming revenue was 9.6 billion yuan, growing 2.5% year-on-year; other services, including e-commerce and Keling AI, generated 5.9 billion yuan, marking a significant growth of 41.3% [2] Keling AI Performance - Keling AI's revenue for Q3 exceeded 300 million yuan, contributing to the overall revenue growth [2] - The CFO disclosed that Keling AI's full-year revenue is projected to reach 1.4 billion yuan, exceeding the initial target of 600 million yuan by over 100% [2] - Keling AI's revenue growth has slowed in Q3 compared to the previous quarters, with Q1 and Q2 revenues of over 150 million yuan and 250 million yuan, respectively [3] Industry Competition - The video generation sector is experiencing intensified competition, particularly with the entry of Baidu and the launch of its free version of the Steam Engine model [3] - OpenAI's release of the Sora 2 model has also heightened market attention, prompting increased R&D efforts among various companies in the video generation space [3][4] - Kuaishou's CEO noted that the expansion of participants in the video generation field reflects its significant development potential and market value, although the technology is still in a developmental stage [4] Strategic Focus - Kuaishou's current strategy for Keling AI is to focus on the "AI film creation scene," while remaining adaptable to various application scenarios [6] - The company aims to enhance user experience and willingness to pay among professional creators, while exploring consumer applications as the market matures [6] - Kuaishou has increased its investment in computing power to meet the growing demand for video generation models, ensuring competitive technological capabilities [6]