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Chinese AI rivals clash over Anthropic’s OpenClaw exit amid global token crunch

Chinese tech companies are engaged in a public war of words as they compete to capitalise on US start-up Anthropic’s decision to pull its industry-leading Claude models from open-source AI agent tool OpenClaw. The development comes as AI agents have triggered a huge increase in demand for AI tokens – the core metric of AI usage – raising questions about the long-term ability of industry players to meet this demand amid a growing global crunch in computational power. On Sunday, Anthropic...

6 April 2026 at 02:58 pm
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Chinese AI rivals clash over Anthropic’s OpenClaw exit amid global token crunch

Chinese tech giants are locked in a public feud as they vie for control of the AI landscape following Anthropic’s decision to withdraw its Claude models from the open-source AI agent tool, OpenClaw. This move has ignited a heated debate among Chinese companies, each striving to capitalize on the shift and secure their position in the rapidly evolving AI market. The decision comes at a critical juncture, as AI agents have spurred a surge in demand for AI tokens, the primary measure of AI usage, highlighting the global struggle to meet this growing demand amid a severe shortage of computational power.

The conflict began when Anthropic, a US-based startup, announced its decision to remove the highly regarded Claude models from OpenClaw, an open-source tool that allows developers to create AI agents. This move has left Chinese companies scrambling to adapt and find new ways to leverage the growing demand for AI capabilities. The withdrawal of Claude models has created a power vacuum, prompting Chinese tech firms to engage in a public war of words, each attempting to position themselves as the most viable alternative.

One of the key players in this dispute is Baidu, China’s largest internet conglomerate. Baidu has been vocal in its support for open-source AI tools and has long been a proponent of collaborative development in the AI sector. The company has expressed concern over Anthropic’s decision, arguing that it undermines the spirit of open-source collaboration and could hinder the progress of AI research. Baidu has also emphasized its commitment to developing robust AI capabilities, positioning itself as a reliable alternative to Anthropic’s Claude models.

Another major Chinese player, Tencent, has taken a more aggressive stance. The company has accused Anthropic of prioritizing commercial interests over the broader AI community, and has called for greater transparency and cooperation in the development of AI technologies. Tencent has also invested heavily in its own AI research, aiming to create a suite of tools that can compete with the Claude models. The company has highlighted its expertise in natural language processing and has suggested that its AI offerings could provide a viable alternative for developers.

Meanwhile, Huawei, the global telecommunications giant, has weighed in on the debate by advocating for a more unified approach to AI development. Huawei has argued that the global AI community must work together to address the computational power shortage, which it claims is exacerbating the token crunch. The company has also emphasized its commitment to investing in AI infrastructure and has pledged to support open-source initiatives that promote collaboration and innovation.

The clash between these Chinese tech companies is not just about the immediate impact of Anthropic’s decision but also about the long-term trajectory of the AI industry. As demand for AI tokens continues to soar, the ability of companies to meet this demand will be crucial in determining their success. The global crunch in computational power has become a significant challenge, with many experts warning that the industry may be on the brink of a bottleneck.

In response to this crisis, some Chinese firms have begun exploring alternative approaches to AI development. For instance, Baidu has been experimenting with more efficient AI algorithms that require fewer computational resources, while Tencent has focused on optimizing its existing infrastructure to better handle the increased demand. Huawei, on the other hand, has been investing in research into quantum computing, which it hopes will provide a breakthrough solution to the computational power shortage.

Despite their differences, all three companies agree on the importance of maintaining a competitive edge in the AI market. The public feud over Anthropic’s decision to withdraw its models from OpenClaw is a reflection of their determination to secure their position in the global AI landscape. As the debate continues, it remains to be seen how these Chinese tech giants will navigate the challenges posed by the token crunch and computational power shortages. However, one thing is clear: the race to lead in AI innovation has only just begun, and these companies are determined to play a pivotal role in shaping its future.

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