Summary
Alibaba's Hong Kong-listed shares fell after a U.S. AI firm accused operators linked to the company's Qwen AI unit of running a large-scale effort to improperly extract capabilities from Anthropic's Claude models. The alleged campaign, outlined in a letter to U.S. senators and White House officials, involved thousands of fraudulent accounts and millions of interactions with Claude.
Market reaction
Hong Kong-listed shares of Alibaba slid 5% to HK$94.55 by 02:40 GMT on Thursday, marking the lowest level for the stock since February 2025. The company’s U.S.-listed shares finished 3% lower on Wednesday.
Allegations and scope of activity
Anthropic sent a letter to U.S. senators and White House officials alleging that operators tied to Alibaba’s Qwen AI lab conducted a coordinated campaign to bypass usage restrictions and extract model behavior. According to the letter, the campaign generated more than 28.8 million interactions with Claude between April 22 and June 5 via nearly 25,000 fraudulent accounts.
Anthropic contends the activity was intended to capture advanced model capabilities that could then be used to improve rival AI systems. The company described the episode as the largest known "distillation" campaign against it.
What Anthropic means by distillation
Anthropic described the conduct as a form of distillation. In this context, distillation refers to the process where a smaller model is trained to reproduce the outputs of a more powerful model, learning from those outputs to capture behavior and capabilities.
Wider context
The accusations come amid growing scrutiny by U.S. authorities of Chinese access to advanced American AI technologies. Observers see the dispute as an example of intensifying competition between U.S. and Chinese AI firms as both invest in generative AI and seek to protect proprietary systems and data.
Implications for markets and technology sectors
The immediate market impact was visible in Alibaba's share prices in Hong Kong and the United States. The allegations also highlight tensions in the technology and artificial intelligence sectors around data protection, model security, and competitive behavior.