Back to home
INTERNATIONAL25 June 2026
Anthropic Charges Alibaba with Systematic Theft of Claude AI Capabilities
Anthropic has accused Alibaba of using fraudulent accounts to siphon training data from its Claude AI model, raising fresh concerns over intellectual property theft in the global AI race. The claim, made on 25 June 2026, could reshape regulatory approaches to cross‑border data flows.
La
La Rédaction
The Vertex
5 min read

Source: www.bbc.co.uk
On 25 June 2026, Anthropic, the San Francisco‑based AI startup behind the Claude large‑language model, publicly accused its Chinese rival Alibaba of illicitly extracting proprietary capabilities from Claude. In a detailed statement released to the press, Anthropic alleged that Alibaba created a network of fraudulent user accounts to bypass access restrictions and harvest training data from Claude's output, thereby accelerating its own AI development.
The accusation centers on a series of technical maneuvers that, according to Anthropic, involved the use of spoofed API keys and automated scripts to mimic legitimate user behavior, allowing Alibaba's engineers to amass millions of text samples without violating the model's terms of service. The firm claims these activities persisted for several months, during which time Alibaba allegedly refined its own models, narrowing the performance gap with Claude.
This episode fits into a broader pattern of competitive tension in the global AI arena, where United States and Chinese tech giants have repeatedly been accused of espionage, talent poaching, and intellectual property theft. Prior incidents, such as the alleged theft of OpenAI's GPT‑4 architecture by a Chinese firm and the contentious data‑sharing practices of major cloud providers, underscore a climate in which regulatory oversight remains fragmented.
If the allegations prove substantiated, they could trigger a cascade of legal and reputational consequences, prompting stricter export controls on AI models and tighter scrutiny of cross‑border data flows. Moreover, the dispute may accelerate calls for an international framework governing AI training data, ensuring that companies cannot weaponize proprietary outputs through deceptive means. The outcome will likely shape the next phase of the AI arms race, influencing both market dynamics and policy responses worldwide.