" Manus最大的竞争对手，Genspark的登顶之路。 " 作者丨 齐铖湧 编辑丨 马晓宁 更明显的区别是，景鲲创立的MainFunc是一家扎根于硅谷的国际化团队，肖弘创立的蝴蝶效应，是一家 武汉原生的中国团队。 MainFunc 的融资节奏快得惊人。 MainFunc 的种子轮，于2024年中完成，估值约6000万美元，彼时MainFunc的核心业务，还只是在做AI 搜索。一年后，2025年2月MainFunc完成1亿美元A轮融资，估值跃升至5.3亿美元。 提起来Agent，最先被关注的肯定是被 Meta 收购的 Manus，而在硅谷投资圈内，另一家 Agent 公司 Genspark 同样备受关注，不仅得到了硅谷主流基金的青睐，有传闻称，Genspark 也同样进入到了硅谷 大厂的视野范围之内。 Genspark 与 Manus 同为华人创办，都是 AI Agent赛道的顶流公司，有着类似的产品定位和营销打法， 他们也是中国最新一代全球化AI创业公司的集中缩影。大众对于Manus的故事耳熟能详，我们也即将发布 《我所认识的肖弘》一文，关于Genspark的背景经历，相比较而言知之者要少得多。 01 硅 ...

导读： 在当下复杂的投资环境下，投资人一定要顺势而为，拥抱贝塔。 作者｜矛哥 来源 ｜常垒创投 2025，我是如何实现：硬科技，从入门到彻底放弃。 上面这句话不是我说的，但不止一个人跟我说过，无论是一级投资的朋友还是二级的朋友。 之前一个VC投资的朋友曾跟我说过，他们只投资两类商业模型的企业： 要么上来就巨额亏损，需要持续融资； 要么上来就赚钱，后续不太需要融资。 因为其余的业务模型都不支撑VC的投资框架，我觉得还蛮有道理。 当下的科创投资周期跟当年TMT时代的互联网投资越来越像。 都是巨额融资，巨额亏损； 都是商业模式看不懂，花钱补贴客户，短期算不过账； 大洋彼岸，都有成功对标企业；投资机构都要抱团站队，因为结局都看不清。 但也有不同之处。 在TMT时代，钱主要花在了流量获取和补贴C端用户上。 在科创时代，钱也投在了流量上，不过主要是为了博领导的眼球，而补贴主要用在B端大客户上。 在TMT投资时代，政府国资的钱不敢上。 在当下科创时代，市场信仰派的钱却不敢上了。 投资的信仰和价值观本没有对错，只是在不同周期，各种价值观获得的收益反馈却截然不同。 在往期的文章里我们曾提出，2023年会出现一个投资的分水岭，本 ...

Core Insights - The growth logic of China's enterprise services has relied on two main advantages: low-cost engineering talent and affordable sales and implementation teams. However, these advantages are rapidly diminishing due to demographic changes and rising wage levels [1][10] - The traditional To B business model is facing structural failure, necessitating a fundamental change in production relationships to sustain growth [1][10] - The evolution of enterprise services can be segmented into three eras: 1.0, 2.0, and the emerging 3.0, with each representing a shift in business models and operational strategies [1][2] Group 1: Era 1.0 - Control-Centric Approach - In the 1.0 era, companies like Yonyou and Glodon dominated the market by focusing on control over finances, inventory, and personnel, using a military-like organizational structure to capture market share [3][5] - Yonyou leveraged the widespread adoption of computerized accounting to establish a comprehensive distribution system, effectively creating a "ground army" for market penetration [5][6] - Glodon achieved deep market penetration in the construction sector by tying its software to national pricing standards, thus gaining significant pricing power and market dominance [6][7] Group 2: Era 2.0 - SaaS Aspirations and Challenges - The 2.0 era saw a shift towards SaaS models, with companies like Fenshangxiaoke and Beisen attempting to replicate successful Western models by leveraging capital and internet strategies [11][12] - Fenshangxiaoke's aggressive customer acquisition strategy faced challenges due to the rational decision-making of enterprise owners, leading to high customer churn rates [13][16] - Beisen adopted an integrated approach by offering a comprehensive suite of HR solutions, which successfully built a competitive moat but also significantly increased operational costs [14][15] Group 3: Era 3.0 - AI-Driven Transformation - The 3.0 era is characterized by companies like HeyGen and Manus, which utilize AI to redefine labor delivery models, moving away from traditional human resource dependencies [2][19] - HeyGen exemplifies extreme efficiency, achieving over $35 million in ARR with a small team, demonstrating that AI can replace traditional labor-intensive processes [22][36] - Manus represents a shift towards software functioning as a digital employee, capable of independently completing tasks, thus opening up new revenue streams by targeting labor budgets rather than IT budgets [23][39] Group 4: Changes in Business Models and Market Dynamics - The delivery model has shifted from providing tools to delivering results, eliminating the need for extensive training and reducing implementation friction [30][32] - The efficiency of 3.0 companies is starkly higher, with HeyGen achieving a revenue per employee of $1 million, compared to traditional SaaS companies that struggle to exceed $46,000 [33][36] - The market focus has transitioned from IT budget "rent" to labor budget "wages," significantly expanding the potential market size for AI-driven solutions [38][40] Group 5: Future Outlook - The future of China's To B market is expected to feature a bimodal structure, with established players like Glodon maintaining their market position while new entrants like HeyGen leverage AI for competitive advantage [41][42] - Companies in the middle ground, relying on outdated models, are at risk of being squeezed out as they cannot compete with either the efficiency of AI-driven firms or the entrenched advantages of legacy players [42] - The key for future entrepreneurs is to identify niches where AI can fully replace human labor, creating specialized tools that address specific problems [42]

Core Insights - The report from Caitong Securities highlights the potential growth in CPU demand driven by the ongoing development of AI Agents and the implementation of sandbox technology to mitigate associated risks [1][2]. Group 1: AI Agent Sandbox Development - Both domestic and international markets are gradually deploying AI Agent sandboxing technology. Notably, Meta's acquisition of Manus for over $2 billion by December 2025 is expected to accelerate the promotion and application of sandbox technology [1]. - Major domestic cloud platforms, such as Alibaba Cloud, are launching and iterating AI Agent Infra products centered around AI Agent Sandbox, indicating a gradual implementation of sandboxing in AI Agent deployment [1]. Group 2: CPU Demand and Risk Control - The sandbox isolation technology is crucial for controlling potential risks associated with AI Agents, which in turn creates additional demand for CPUs. The action module of AI Agents translates abstract instructions into specific operations, heavily relying on the richness and reliability of the tools available [2]. - The core technology enabling this tool usage is function calling, which allows large language models (LLMs) to output structured JSON objects alongside text generation. This separation of understanding and execution is vital for AI Agent functionality [2]. Group 3: Investment Recommendations - Investment focus should be on overseas CPU manufacturers such as AMD and Intel, as well as domestic CPU alternatives like Haiguang Information and Loongson Technology. Additionally, supply chains related to AMD (Tongfu Microelectronics, Aoshikang, Shiyun Circuit) and Intel (Lanke Technology, Shiyun Circuit, Xingsen Technology) are recommended for attention [3].

Industry Trends - In 2026, companies will focus on localized operations and technology-driven overseas warehouse systems, particularly in the U.S. market, enhancing operational efficiency through "micro-headquarters" that integrate marketing, customer service, and supply chain[1] - By 2025, 44% of Chinese companies have developed detailed plans for the Middle East, with 40% achieving profitability, indicating a shift from rapid expansion to meticulous cultivation in this market[2] - AI is reshaping marketing strategies, with over 70% penetration in influencer marketing and precise targeting, significantly improving brand exposure and sales[4] - The Chinese robotics industry is transitioning from product export to brand globalization, with a 54.9% increase in industrial robot exports in the first three quarters of 2025[4] Brand Dynamics - Alibaba's AliExpress aims to enhance brand globalization through overseas warehouse services, targeting a tenfold increase in GMV for participating merchants[13] - Pop Mart's overseas revenue surged from 137 million yuan to 5.593 billion yuan in four years, attributed to a shift from a distributor model to direct sales and the implementation of a cloud ERP system[14] - Jitu Express reported a 300 billion package volume in 2025, with overseas business accounting for nearly 30% of total operations, driven by a 67.8% growth in Southeast Asia[16] - The pet brand Vetreska achieved over $30 million in sales in two years by targeting North American middle-class consumers and utilizing localized marketing strategies[18]

Core Viewpoint - The acquisition of the Chinese-founded AI startup Manus by Meta Platforms Inc. for $2 billion is under scrutiny by Chinese regulators, raising concerns about potential violations of tech export and national security regulations, as well as cross-border currency flows and tax accounting [1][12]. Group 1: Acquisition Details - Meta's acquisition of Manus, which took about 10 days to finalize, is seen as a significant move to enhance its AI capabilities [1][12]. - Manus, co-founded by Butterfly Effect, initially operated in China before relocating to Singapore, attracting notable US investors like Benchmark [2][12]. - The deal has been compared to other major AI companies like OpenAI and DeepSeek, highlighting its importance in the AI sector [4][12]. Group 2: Regulatory Concerns - Chinese officials are investigating whether the acquisition compromises sensitive Chinese AI technology and user data [2][12]. - The investigation remains preliminary, and some Chinese officials have shown support for Manus, complicating the potential for regulatory action [3][12]. - Concerns have been raised regarding "Singapore-washing," where companies of Chinese origin relocate to Singapore to facilitate overseas business [5][12]. Group 3: Market Impact and Product Development - Manus has focused on international markets, with its main AI product not available in China, although a previous product was [7][12]. - The startup gained attention for its AI agents that assist users with various tasks, outperforming some competitors like OpenAI's Deep Research [8][12]. - Meta plans to continue operating Manus and integrate its technology into its own products, indicating a strategic expansion in the AI market [9][12].

Core Viewpoint - Beijing is intensifying its investigation into Meta Platforms Inc.'s $2 billion acquisition of the AI startup Manus, which may lead to regulatory actions if any wrongdoing is identified [1][2]. Group 1: Investigation Details - Chinese officials are examining whether the acquisition violated tech export or national security regulations, focusing on the potential compromise of Chinese technology or user data [2][4]. - The investigation has expanded to include potential violations related to cross-border currency flows, tax accounting, and overseas investments [2]. - The review underscores the scrutiny surrounding Meta's rare acquisition of an Asian tech company, marking a significant investment in AI by Meta co-founder Mark Zuckerberg [3][6]. Group 2: Company Background and Operations - Manus, co-founded by Chinese entrepreneurs, initially operated in China before relocating to Singapore, which has raised concerns about the control of sensitive Chinese AI technology by an American firm [4][8]. - The startup has primarily targeted international markets, with its main AI product not available in China, although a previous product was [9][10]. - Manus's AI agents have garnered attention for their capabilities, outperforming some competitors, and the company aims to expand its services under Meta's ownership [10][11]. Group 3: Regulatory and Market Implications - The investigation reflects broader concerns in China regarding "Singapore-washing," where companies of Chinese origin relocate to Singapore to facilitate overseas business [7]. - The deal has raised alarms about the implications of a major American company acquiring a well-regarded Chinese-origin startup, which has been compared to leading AI firms like OpenAI [6][12]. - Despite the ongoing investigation, some Chinese officials had previously expressed support for Manus, indicating a complex regulatory environment [5].

Beijing is deepening an investigation into Meta Platforms Inc.’s $2 billion acquisition of Chinese-founded AI startup Manus, raising the risk that regulators will seek to alter or even unwind the deal if wrongdoing is found. Chinese officials had begun looking into whether the December takeover of the agentic AI startup violated tech export or national security regulations. The central issue is whether Chinese technology or user data could have been compromised or shared with an American company. Regulato ...

With mounting pressure to justify its AI costs, Meta's ambitions to serve enterprise customers face real challenges. Its latest acquisition, a reported $2 billion for Manus, which sells AI agents via subscription to small businesses and entrepreneurs, epitomizes that challenge. CNBC has heard from multiple customers that are canceling their subscriptions.While that's just a tiny percentage of Manus' subscriber base, it does speak to startups concerns about Meta. One of those customers is Seth Dobrin, the CE ...

Core Viewpoint - Meta's acquisition of Manus for approximately $2 billion aims to enhance AI innovation and integrate advanced automation into its products, but existing Manus customers express concerns about data privacy and trust under Meta's ownership [3][7][10]. Company Overview - Manus, founded in China in 2022 and later relocated to Singapore, specializes in general-purpose AI agents capable of performing complex tasks like market research and data analysis [4]. - Manus reported a revenue run rate exceeding $125 million and millions of paying customers at the time of the acquisition [7]. Customer Sentiment - Some Manus customers, including Arya Labs, have ceased using the platform due to distrust in Meta's data practices, expressing disappointment over the acquisition [5][8]. - Concerns about the application of Meta's data policies to Manus have led other companies, like 0260.AI, to stop recommending Manus to clients [9]. Market Position and Strategy - Meta's strategy in the AI market remains unclear, especially in comparison to leaders like OpenAI and Google, with significant investments made but no defined long-term plan [10]. - Meta's stock has declined by 17% since the last earnings call, reflecting investor concerns about rising AI costs, which are projected to exceed $100 billion by 2026 [11]. Competitive Landscape - Competitors like Lindy have seen increased user interest following Meta's acquisition announcement, indicating a potential "halo effect" that raises awareness of AI software [12]. - Meta's focus appears to be on small businesses, which are crucial for its advertising revenue, rather than targeting large enterprises [12][13]. Challenges and Opportunities - Meta has faced difficulties in the enterprise sector, having previously shut down its Workplace platform and other initiatives [14][15]. - WhatsApp for Business has emerged as a successful avenue for Meta, with projections suggesting it could generate $40 billion in revenue by 2030 [17][18].