Industry Commentary - Venture Capital (VC) firms' confidence in crypto applications, despite potentially lacking on-chain transaction experience, is noted [1] - The commentary references the concept of Product-Market Fit (PMF) within the context of crypto applications [1]

Core Insights - The Chinese venture capital market is at a turning point, characterized by a structural transformation and a focus on capturing opportunities amidst uncertainty [1] - The "WAVES New Era 2025" conference gathered top investors and innovators to discuss AI technology, globalization, and value reassessment [1] Investment Trends - Investors are increasingly focusing on early-stage investments in AI, with many firms actively participating in seed and angel rounds [4][5][6] - The emergence of younger founders and the rapid pace of technological change in AI are reshaping the investment landscape [9][10] Market Dynamics - The current AI startup environment is perceived as less crowded compared to previous tech waves, indicating potential for growth and innovation [33][35] - High valuations for AI startups are driven by competitive dynamics and the need for firms to position themselves within hot sectors [26][28] Investment Strategies - Investors emphasize the importance of understanding the unique backgrounds and capabilities of founders, particularly in the context of rapidly evolving technologies [14][16] - The traditional metrics for assessing product-market fit (PMF) are being reevaluated, with a shift towards more dynamic indicators that reflect the fast-paced nature of AI development [22][23] Future Outlook - The consensus among investors is that AI will continue to be a major driver of economic growth, suggesting that opportunities for startups will persist in the coming years [35] - Founders are encouraged to focus on practical execution and iterative development rather than getting caught up in long-term uncertainties [32][34]

Core Insights - Kunlun Wanwei has made significant progress in commercializing its AI products, particularly in AGI and AIGC, with notable revenue achievements in AI social and music sectors [1][3][7] - The company has faced challenges in maintaining a stable narrative and profitability amidst fluctuating stock performance and market skepticism [2][16] - Kunlun Wanwei's strategy focuses on optimizing model costs and leveraging AI applications to drive revenue, while also navigating a competitive landscape dominated by larger firms [10][11][12] Financial Performance - In 2024, Kunlun Wanwei reported a net loss of 1.6 billion yuan, a significant decline from a profit of 660 million yuan in 2023, marking a new low in its ten-year history [16] - The company’s annual recurring revenue (ARR) for AI social reached approximately 12 million USD, with a peak monthly revenue of over 1 million USD [1][7] - R&D expenses reached 1.54 billion yuan, reflecting the company's commitment to maintaining its competitive edge in AI [16] Product Development - The company has developed various AI models, including the TianGong AI assistant, which has achieved a peak monthly active user count of over 10 million [4][11] - Kunlun Wanwei's music generation model, Mureka, has been recognized for its competitive edge in the AI music space, outperforming notable competitors [15] - The launch of the SkyReels platform integrates video and 3D models for automated content creation, showcasing the company's innovation in AI applications [5] Market Positioning - Kunlun Wanwei positions itself uniquely in the AI landscape, focusing on product development rather than competing directly with larger firms that have more resources [9][12] - The company aims to capture opportunities in the AI sector, which is viewed as a blue ocean market with potential for disruption across various industries [12][17] - Despite the challenges, Kunlun Wanwei remains optimistic about achieving profitability in its AI model business by 2027 [17]

「东升西落」的叙事 曲凯： 最近我又来美国了，发现市场真是变化太快，这边突然有人开始提到一个所谓「东升西 落」的叙事。 莫傑麟： 对，二级市场今年 1 月以来一直在演绎这个剧本，但其实 24 年就已经在为这个叙事做 铺垫了。 24 年美国的宏观环境和各项经济数据都比较好。他们一方面非常重视 AI，在所有前沿创新上也一 直绝对领先，另一方面又凭借美元的强势吸引着全球的投资。 但今年 Trump 上台之后，情况发生了变化。 Trump 在关税、财政支出上都做了很多调整，一套大刀阔斧去杠杆的动作下来，大家关注的重点 从 AI 转向了宏观问题，也对未来多了很多不确定性。 又因为过去几年，美国股市一直走高，投资人的预期已经被拉得很满。所以大家现在极度厌恶风 险，股市就会出现剧烈的震荡。 而今年的中国刚好是美国的镜像。 其实国内的股价从 24 年开始就有回升，但并不明显，直到今年 DeepSeek 的发酵才彻底引爆。 归根结底，还是因为大家之前对于中国科技行业和宏观环境的预期都太低了。 曲凯： 对，我觉得「东升西落」本质上是一种价值评判的回归，之前大家确实过于低估国内 AI 了，而 DeepSeek 就是一个典型代表。 ...