China pushes back on US accusations that Chinese AI firms are distilling models at industrial scale

GeopoliticsRegulationIndustry
โดย InfoQuest·CNUS·Read original
Summary · why it matters

China's Ministry of Commerce has voiced strong opposition to recent US claims that Chinese artificial intelligence companies are carrying out so-called model distillation to extract capabilities from US AI models at an industrial scale, saying the allegations are unfounded and have no legal basis. A ministry spokesperson said yesterday that the US move turns model distillation into a political issue, even though it is a normal technical and commercial matter in the AI industry, and that the US announcement reflects an effort to dominate technology and monopolize computing capacity in the AI industry, as well as to shut out competition. Xinhua News Agency reported that model distillation is a common approach used to let AI models learn from one another, that it is neutral, and that AI model developers around the world, including US companies, use the method. The spokesperson said China's open-source AI models are accessible to companies worldwide, including US firms, and that some US companies have disclosed information about using distillation methods with many Chinese AI models. The United States, meanwhile, has repeatedly accused Chinese companies of carrying out distillation at an industrial scale and has sought to portray a common industry practice as an aggressive act, which China sees as reflecting US anxiety and double standards. The spokesperson added that this year the United States has frequently threatened sanctions and pressure on Chinese companies over distillation practices, with the aim of preserving US monopolies in computing capacity and data, and of preventing other countries from taking part in the broad sharing of the results of AI innovation. The spokesperson warned that if the United States uses the distillation issue as a pretext to pressure Chinese AI companies, China will take resolute countermeasures.

Impact on stocks 0

Theme Impact 2

Related news

4

Chinese AI Rivals Generate Only 10% of OpenAI and Anthropic Revenue, Rhodium Says

All Chinese AI models combined generate roughly 10% of the revenue reported by OpenAI and Anthropic, according to estimates from Rhodium Group. Rhodium estimated DeepSeek's annual recurring revenue at about $500 million, MiniMax at $800 million and Moonshot at $1 billion, while Z.ai recently told investors its ARR had reached $1.8 billion, ByteDance was estimated at roughly $4 billion and Alibaba at $2.4 billion. Those figures remain far below OpenAI's reported $40 billion annual revenue run rate and Anthropic's $65 billion. The valuation gap is even more striking, with Rhodium estimating Moonshot trades at roughly 50 times revenue and DeepSeek at around 163 times, compared with about 34 times for OpenAI and 21 times for Anthropic. Rhodium partner Logan Wright said the financing gap means it will be far more difficult for Chinese frontier AI labs to scale sustainably.
GuruFocus·12hRead more →
impact 4

Manus Seeks $500 Million Round as Asia's AI Agent Market Splinters

Manus is in advanced discussions for a $500 million funding round at a $4 billion valuation, according to Bloomberg, following Beijing's NDRC blocking of Meta's $2 billion acquisition of the firm in April 2026. Co-founders Xiao Hong and Ji Yichao were summoned and barred from leaving China, forcing the company to pivot from a potential US acquisition target into a cornerstone of the domestic Chinese AI ecosystem, though the round is not yet closed and terms remain subject to change. In Seoul, Enhans, which raised a $38 million Series C confirmed in a September 17, 2026 press release, is embedding its AgentOS into Korean manufacturing and finance, with the round co-led by TIMEFOLIO Asset Management and Stonebridge Ventures and strategic participation from POSCO Investment, LG CNS, and Lotte Ventures, whose chaebol groups already run the technology in live production. Huawei, meanwhile, launched its AI Cluster Service and agent-specific tools including Agentic MaaS and the AgentArts platform at HUAWEI CONNECT 2026, with Dr. Peter Zhou emphasizing that infrastructure must evolve to support secure, reliable agent workloads in production; the Agentic Infra paradigm already serves over 3,500 customers, and while AICS is available in China starting September 30, global availability is not slated until November 30. Together these moves signal that the agent market is splitting along regional lines of data structuring, compute hosting, and regulatory oversight, leaving open whether these silos will converge through open standards or harden into permanent, incompatible zones.
Yahoo Finance·14hRead more →
impact 4

Nvidia CEO Huang Says AI Spending Flywheel Is 'Really, Really Flying'

Nvidia CEO Jensen Huang said demand for artificial intelligence computing is accelerating, describing the resulting investment cycle as a flywheel that is "really, really flying." Speaking with CNBC's Jim Cramer at Dreamforce in San Francisco, Huang estimated that a 1-gigawatt Nvidia AI factory costs about $50 billion to $60 billion to build but can generate roughly $50 billion in annual rental revenue, implying a return on invested capital of about one year. He said token generation has increased 25-fold in less than a year, with open models now accounting for nearly 70% of generated tokens, up from about 30%. Huang also said Nvidia Grace Blackwell systems now rent for about $16 per GPU hour, versus roughly $5 under some contracts signed a year ago, and he expects AI testing to become a third major category of infrastructure alongside training and inference, requiring additional data centers.
Yahoo Finance·22hRead more →