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Politicizing a technical issue exposes U.S. hegemonic logic

By Zhong Sheng (People's Daily) 14:27, September 21, 2026

The U.S. National Security Agency, Cybersecurity and Infrastructure Security Agency, and Federal Bureau of Investigation recently issued a joint cybersecurity advisory, warning that China-based artificial intelligence (AI) companies are targeting U.S. AI companies with "industrial-scale" knowledge distillation campaigns to acquire the capabilities of U.S. frontier models and proposing defensive measures to U.S. companies.

The accusation is unfounded and has no legal basis. Essentially, it politicizes and instrumentalizes distillation, a normal technical and commercial practice in the industry, while applying double standards. This once again lays bare the U.S. approach of pursuing tech hegemony, monopolizing computing power, and suppressing competition in the AI sector. China firmly opposes such moves.

Knowledge distillation is a common practice in AI development, through which different models learn from one another. It is, in essence, a neutral technical means used by AI companies around the world, including U.S. companies.

By using a high-performing "teacher model" to guide a more lightweight "student model," distillation can improve the efficiency of model training and enable more effective use of human knowledge. It can help countries develop their AI industries, unlock technological potential, narrow development gaps, and make the benefits of AI more broadly accessible to developing countries and people around the world.

China encourages openness, cooperation, and sharing, and has made open-source models available to companies worldwide, including U.S. companies, facilitating the development of related models.

Reports released by U.S. companies on their own model development have also disclosed extensive use of distillation techniques derived from Chinese models. By Washington's logic, when U.S. companies use distillation, it is considered an "industry-wide practice," yet when Chinese companies do the same, it constitutes an "attack." Such an approach is nothing less than a blatant double standard.

By elevating a common industry practice into a national security issue, the United States is using the pretext of combating distillation to pursue an industrial monopoly. For years, certain U.S. AI companies have abused their dominant market positions, imposing overly broad geographic restrictions and other restrictive provisions in their user agreements in an attempt to exclude competitors from countries such as China from the global technology ecosystem and monopolize the benefits of AI development.

The latest move by U.S. security agencies to issue an official advisory, tying the interests of individual companies and investors to national security, amounts to using the coercive power of the state to interfere in normal commercial activities and endorse these heavy-handed provisions.

For some time now, U.S. executive and legislative agencies have repeatedly threatened sanctions and other measures against Chinese companies, with restrictions expanding from chip controls and curbs on access to computing power to restrictions on access to AI models. The United States has gone so far as to mobilize state power to preserve its technological dominance and monopoly over computing resources.

At the root of this approach lies a deep-seated anxiety about losing technological supremacy. It reflects a hegemonic logic that insists on a U.S.-only victory rather than win-win outcomes for humanity.

However, efforts to contain and suppress technological development have never been able to stop the advance of science and technology. China's advances in AI are the result of pursuing high-level self-reliance and strength in science and technology, and it has also benefited from China's consistent commitment to extensive consultation, joint contribution, shared benefits, as well as openness and cooperation.

In recent years, Chinese AI companies have made solid progress in areas including foundational algorithms, computing-power infrastructure and application scenarios. Leveraging China's complete industrial system and rich range of application scenarios, they have continuously lowered the barriers to developing and applying AI technologies. In doing so, they have broken through the high-cost barriers erected by a handful of U.S. companies through massive deployment of capital and computing power.

Denis Simon, a senior research fellow at the Quincy Institute for Responsible Statecraft, said that the United States should not view openness and security as a zero-sum game. Trying to maintain its technological lead by building walls will ultimately be counterproductive.

AI is a new frontier of human development. It is not the preserve of any major country, nor should it be turned into an arena for zero-sum rivalry. The global AI industry is currently at a critical stage of technological iteration, emerging risks, and continued growth. As major AI powers, China and the United States should address the challenges and risks in this field with a positive and responsible attitude.

The two heads of state have agreed to launch an intergovernmental dialogue on AI. China is ready to engage with the United States in constructive and professional discussions, based on the principles of equality, mutual benefit and win-win cooperation, and work together to promote the open, inclusive, accessible and beneficial development of AI.

China hopes that the United States will work in the same direction, managing risks through dialogue and communication, and helping to create an open, equal, fair, and non-discriminatory environment for AI development, so that AI technologies can benefit all humanity. However, if the United States uses combating distillation as a pretext to suppress Chinese AI companies and undermine China's legitimate rights and interests, China will take resolute countermeasures in response.

(Zhong Sheng is a pen name often used by People's Daily to express its views on foreign policy and international affairs.)

(Web editor: Liang Jun, Zhang Kaiwei)

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