出海企业如何构建“算力+数据+生态+合规”的四维护城河？

Group 1: AI Going Global Landscape and Opportunities - The current global AI going-out landscape is divided into North America, Europe, and Southeast Asia, with technological innovation and localization being key opportunities and challenges for companies [4] - Companies must invest in localization as it is a necessity rather than an option, as many enterprises have faced elimination due to neglecting this aspect [4] - There is an opportunity for "arbitrage between different language systems," particularly in the Japanese and Korean markets, where competition is lower compared to Europe and the US [4] Group 2: AI Application Growth and Infrastructure - AI applications have entered a rapid growth phase, with a significant increase in the number of applications globally, where China accounts for 356 out of 1890 applications, with 143 being overseas products [7][8] - The cost of running inference models is decreasing, with annual reductions exceeding 90%, making it more feasible for companies to adopt AI solutions [7] - Companies need to choose GPU services that can provide global data center coverage and elastic scaling capabilities to support their AI applications [8] Group 3: AI Native Applications and Database Importance - The transition to AI native applications requires three key pillars: large models, Model Context Protocol (MCP), and databases designed for large language models (LLMs) [12] - Traditional databases are often not designed for LLMs, which necessitates a new approach to data storage and access to support personalized services [12] Group 4: Compliance and Legal Challenges - Companies must navigate complex legal and regulatory frameworks when going global, focusing on areas such as data protection, consumer rights, and intellectual property [18] - A systematic compliance management strategy is essential, including establishing AI regulatory teams and developing internal policies to address potential risks [18] Group 5: Successful Strategies for Going Global - Companies like PixelBloom have successfully captured market share by leveraging AI products and creating a complete commercial loop from user acquisition to vertical market penetration [22] - VAST is building a creator ecosystem through its 3D model platform, focusing on community engagement and open-source technology to foster growth [26] - Bocha AI is entering the global market with its LangSearch API, which has seen significant usage and aims to compete with established players like Bing [29][30] Group 6: Sustainable Global Expansion - The current domestic market is characterized by severe homogenization, prompting companies to seek opportunities abroad, particularly in regions like the Middle East and Japan [33] - Companies should focus on deepening their understanding of local markets and developing differentiated, industry-specific applications to create sustainable competitive advantages [33]