Xi Jinping's minority crackdown has nothing to do with AI, and everything to do with what AI companies ignore at their peril

Key points

• China's new ethnic unity law compels roughly 125 million people from 55 minority groups to adopt Mandarin and conform to Han Chinese cultural norms.
• Xi Jinping frames the policy as national integration; Tibetans, Uyghurs and Mongolians call it forced assimilation.
• Minorities represent about 9% of China's total population.
• The policy tightens a pattern of centralised control that directly shapes what AI tools can say, do and show inside China.
• Western AI companies operating in or selling to China face growing pressure to build products compatible with these restrictions.

China's government has passed a sweeping new law requiring the country's ethnic and religious minorities to unify around a single national identity, one defined by the Communist Party and expressed almost entirely in Mandarin. The Guardian first reported the details of what Xi Jinping calls his sinicisation policy, a word meaning "to make Chinese" in the mould of the dominant Han ethnic group.

The numbers are large. Roughly 125 million people belong to 55 recognised minority groups, including Tibetans, Uyghurs and Mongolians. Together they make up about 9% of China's population. Under the new law, compulsory Mandarin instruction expands, and local languages, taught in schools for generations, face restriction or outright removal from classrooms.

Xi has described the goal as minorities "hugging tightly like pomegranate seeds" to build a strong, unified China. Critics, including human-rights groups, use a blunter phrase: ethnic cleansing by bureaucratic means.

Why does this matter for AI?

It matters because every AI product that operates inside China must comply with Chinese law, and Chinese law is tightening fast.

Large language models, the technology behind chatbots like ChatGPT and Claude, are trained on enormous amounts of text. That text shapes what the model knows, what it will discuss, and what it refuses to say. Inside China, regulators already require AI systems to reflect "core socialist values" and avoid content the Party deems divisive.

A law that restricts minority languages and cultures does not stay inside school buildings. It shapes the data available for training Chinese AI systems. It determines which voices, histories and perspectives those systems will reflect, and which they will erase.

Western AI companies want access to China's market of more than a billion people. That access has a price: products shaped to fit a political environment growing more restrictive by the month.

What does this mean for ordinary users outside China?

If you live outside China, no AI product you use today is directly bound by this law. But the global AI industry is not neatly divided by borders.

Models trained partly on Chinese data, or built by companies with Chinese investors or partners, carry the assumptions baked into that data. A Tibetan dialect, a Uyghur folk tradition, a Mongolian legal concept: if these disappear from Chinese digital life, they become harder for any AI to understand or represent accurately.

Group	Estimated population	Primary concern
Uyghurs	~12 million	Language, religious practice
Tibetans	~7 million	Language, cultural identity
Mongolians	~6 million	Language instruction in schools
Other minorities	~100 million	Varying degrees of assimilation pressure

The honest takeaway: when you use an AI tool, the politics of where its training data came from are already inside the product. You cannot see them. That is worth knowing.