--- title: "๐Ÿ’ข๐Ÿ’ข๐Ÿ’ข" type: "Topics" locale: "en" url: "https://longbridge.com/en/topics/39264618.md" description: "๐Ÿš€ "Raising Lobsters" suddenly went viral, but behind it is actually a chain reaction of AI Agent โ†’ computing power โ†’ chip architecture. In the spring of 2026, an open-source AI Agent framework called OpenClaw suddenly became a hit in the developer community. Because it solved something that AI had never been able to do before: making AI not just answer questions, but actually "do the work". Traditional large language models like ChatGPT or Claude are essentially about: telling you *how* to do it. OpenClaw's positioning is: directly *doing it for you*..." datetime: "2026-03-14T14:44:52.000Z" locales: - [en](https://longbridge.com/en/topics/39264618.md) - [zh-CN](https://longbridge.com/zh-CN/topics/39264618.md) - [zh-HK](https://longbridge.com/zh-HK/topics/39264618.md) author: "[่พฐ้€ธ](https://longbridge.com/en/profiles/16318663.md)" --- > Supported Languages: [็ฎ€ไฝ“ไธญๆ–‡](https://longbridge.com/zh-CN/topics/39264618.md) | [็น้ซ”ไธญๆ–‡](https://longbridge.com/zh-HK/topics/39264618.md) # ๐Ÿ’ข๐Ÿ’ข๐Ÿ’ข ๐Ÿš€ "Raising Lobsters" suddenly went viral, but behind it is actually a chain reaction of AI Agent โ†’ Computing Power โ†’ Chip Architecture. In the spring of 2026, an open-source AI Agent framework called OpenClaw suddenly exploded in popularity within the developer community. Because it solved something AI had never been able to do before: Making AI not just answer questions, but truly "get work done". Traditional large models like ChatGPT or Claude are essentially about: Telling you how to do something. While OpenClaw's positioning is: Directly doing it for you. It can understand tasks โ†’ schedule tools โ†’ call plugins โ†’ execute complete workflows. For example: Automatically organizing data Operating software Running scripts Handling business processes Essentially, it's: A digital employee. This also gave rise to a new concept: OPC (One-Person Company) One person + AI Agent can run a company. Many developers even jokingly call OpenClaw: "Raising Lobsters". Because the project mascot is a lobster, and each Agent is like a "claw" that helps you work. But the truly important change isn't the framework itself, but the industry chain reaction it triggered. When AI Agents evolve from chat tools to automated execution systems, computing power demands will change. In the past, AI computing power was mainly focused on: Model Training But in the Agent era, computing power demand comes more from: High-concurrency inference + long-duration operation. For example: Enterprises running thousands of Agents simultaneously Continuously executing tasks Calling tools Processing data This directly changes the computing power structure. Therefore, many chip manufacturers have started optimizing for Agents. For example: Domestic DCU chips Low-power inference chips Edge AI chips Simultaneously, many local governments have also started rapidly following suit. Cities like Shenzhen, Wuxi, Changshu, Nanjing, and Hangzhou have already launched special policies to support the OpenClaw / OPC entrepreneurial model. For example: Computing power subsidies Development subsidies Startup funding Computing power vouchers Some regions even propose: Zero-cost entrepreneurship. Meanwhile, global tech giants have also begun laying out plans for AI Agents. $NVIDIA(NVDA.US) Plans to launch the NemoClaw platform $Microsoft(MSFT.US) Established the CoreAI department, aiming to be an "AI Agent Factory" Domestic manufacturers are also quickly following up: Zhipu โ†’ AutoClaw ByteDance โ†’ ArkClaw Huawei โ†’ XiaoyiClaw Tencent โ†’ WorkBuddy Alibaba โ†’ CoPaw Baidu โ†’ Agent Solutions Almost all AI companies are doing the same thing: Agentification. This is also why many believe the AI industry is entering a new phase: Chatbot Era โ†’ Agent Era But OpenClaw's viral popularity also exposed a serious problem: Security. The National Internet Emergency Center has already issued a risk warning. The main issues currently discovered include: Prompt injection attacks Plugin poisoning Excessive system permissions Plaintext key storage There have even been actual incidents, such as: Databases being accidentally deleted Corporate files lost Cloud services fraudulently charged Currently, about 30,000 OpenClaw instances are directly exposed to the public internet globally. 80% of them lack strong identity authentication. This is also the biggest challenge for AI Agents currently: They possess real system permissions. If vulnerabilities appear, the impact is far greater than with ordinary AI. So the industry now faces two directions: On one side, the immense productivity brought by Agents On the other, security and compliance challenges Future AI Agent competition will likely focus on four levels: Computing power architecture Chip adaptation Software ecosystem Security system And if Agents can truly operate at scale, the entire AI industry chain will change. Because AI is no longer just about model competition, but about: Automated production systems. The question isโ€” If in the future, one person can really use an AI Agent to operate a complete company, which industry do you think will be disrupted first? Software development, cross-border e-commerce, or the content industry itself? ### Related Stocks - [TENCENT (00700.HK)](https://longbridge.com/en/quote/00700.HK.md) - [TENCENT-R (80700.HK)](https://longbridge.com/en/quote/80700.HK.md) - [Tencent Holdings Limited (TCEHY.US)](https://longbridge.com/en/quote/TCEHY.US.md) - [Tencent Holdings Limited (TCTZF.US)](https://longbridge.com/en/quote/TCTZF.US.md) - [BIDU-SW (09888.HK)](https://longbridge.com/en/quote/09888.HK.md) - [BIDU-SWR (89888.HK)](https://longbridge.com/en/quote/89888.HK.md) - [Baidu, Inc. 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