China’s OpenClaw frenzy turns into a gold rush for AI companies

Around the open-source agent OpenClaw, a real gold rush has unfolded: users in China and worldwide are renting cloud servers and buying AI subscriptions just to try out the tool. For technology companies — from cloud providers to AI platforms — this has turned into an unexpected revenue stream. OpenClaw is an open-source agent framework that has gained enormous popularity in a short time.

Agents are AI-systems capable of independently performing complex multi-step tasks: searching for information, writing code, managing files, interacting with external services. Unlike simple chatbots, an agent acts autonomously, plans steps, and adapts to intermediate results. OpenClaw offers these capabilities in an open, free format — and it is precisely this that turned its emergence into an event.

China responded to the tool with particular enthusiasm. The frenzy around OpenClaw led to a sharp increase in demand for cloud resource rentals. Users without their own servers en masse registered with providers and paid for virtual machines solely to deploy the agent and test it.

In parallel, sales of AI subscriptions soared: platforms offering managed access to OpenClaw received a wave of new clients. Such demand explosions have become a characteristic feature of the AI industry in recent years. When DeepSeek R1 was released in early 2025, the servers of major providers became overloaded within hours.

When Mistral released another open model, the community adapted it to dozens of tasks in a matter of days. OpenClaw fits the same logic — except this time the epicenter of interest is concentrated precisely in China. For technology companies, the situation resembles the classic story of shovel vendors during the gold rush.

While users compete for the right to master OpenClaw first, real money is made by those who provide the infrastructure: cloud platforms, API providers, GPU capacity suppliers. Alibaba Cloud, Tencent Cloud, and dozens of niche players are registering increased load and revenue — regardless of how the fate of the agent itself ultimately unfolds. China's interest in open-source AI tools is not accidental.

Beijing consistently supports the development of an open AI ecosystem: open models and agent frameworks allow for building technological sovereignty, attracting the international developer community, and setting industry standards. OpenClaw in this context is not simply another tool, but a potential point of attraction for the global AI community. Whether the current frenzy means long-term success for OpenClaw remains to be seen.

Initial explosions of interest in open-source tools are often accompanied by disappointment: deployment complexity, weak documentation, or performance below expectations quickly cool enthusiasm. However, if OpenClaw passes the test of real-world tasks, it has every chance of becoming a standard tool for agent development — the next step from language models to truly autonomous AI systems.