China’s recent fascination with an AI assistant nicknamed “the lobster” reveals something much bigger than a tech trend—it offers a window into Beijing’s long-term strategy to dominate artificial intelligence.
At the centre of the story is OpenClaw, an open-source AI agent that users can customise for their own needs. Because Western tools like ChatGPT are restricted in China, platforms like OpenClaw have filled a crucial gap. Its flexibility has made it especially attractive, allowing developers and everyday users to adapt it to local systems and workflows.
What makes China’s response unique is the speed and scale of adoption. From students to entrepreneurs, people began “raising lobsters”—training their own AI assistants to handle tasks like writing product descriptions, analysing prices, or even managing online stores. In some cases, users claimed these tools could do in minutes what would normally take hours.
This rapid uptake isn’t accidental. It reflects a broader national push. Beijing has spent years investing heavily in AI, and once the government signals a priority, businesses tend to follow quickly. Tech giants like Tencent and Baidu quickly moved to release their own versions, while local governments offered subsidies to encouragee adoption across industries—from manufacturing to healthcare.
This approach is part of what’s often called China’s “AI Plus” strategy: take artificial intelligence and embed it everywhere in the economy. It has already led to intense competition, with more than 100 AI models launched in recent years in what local media call a “Hundred Model War.”
There’s also a social dimension. With youth unemployment still a concern, AI is being promoted as a tool for entrepreneurship—enabling “one-person companies” where individuals can run entire businesses with the help of AI assistants. For many young people, learning to use these tools is quickly becoming essential.
But the excitement comes with risks. As OpenClaw spread, concerns emerged around security, cost, and reliability. Chinese regulators have since warned about potential dangers, and some government agencies have even banned its use. This reflects a familiar pattern in China’s system: rapid encouragement followed by tighter control once risks become clear.
In the end, the “lobster craze” highlights both ambition and anxiety. China is determined not to fall behind in the global AI race, even as it navigates the challenges that come with rapid innovation. For users, it’s a mix of opportunity and unease—where AI can boost productivity dramatically, but also raises a pressing question: who gets left behind if machines can do the work faster and better?
