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Tech - South China Morning Post

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US crackdown threat could shake out China’s ‘distillation...
Minxiao Chang · 2026-04-24 · via Tech - South China Morning Post

The administration of Donald Trump has threatened action to shield the US artificial intelligence industry from being “distilled” by Chinese rivals, in a move analysts say could weed out weaker players in China’s AI sector within a year.

In a memo released on Thursday, Michael Kratsios, the science and technology adviser to the US president, warned that “surreptitious, unauthorised distillation campaigns” were enabling foreign entities – mainly in China – to release models that appear to match leading systems on select benchmarks at a fraction of the cost.

“Distillation” was a widely used technique in which a smaller “student” model was trained on the outputs of a more advanced “teacher” model, allowing developers to replicate capabilities more cheaply, said Helen Toner, interim executive director at Georgetown University’s Centre for Security and Emerging Technology, during testimony before the Senate on Wednesday.

Some Chinese start-ups had claimed to “self-develop” models while relying heavily on distillation, and such firms lacking original research could be “forced out of the game” within six to 12 months, said Zhang Ruiwang, a Beijing-based information systems architect.

Even among more capable developers, distillation is often used to accelerate iteration. Zhang said this could lengthen development cycles: gaps that might previously have been filled within three months could now take a year or more.

Allegations surrounding the practice have surfaced repeatedly in recent months. Toner, a former board member of OpenAI, told a US Senate hearing this week there was “strong evidence” that Chinese AI firms were using distillation techniques to extract capabilities from US models.

Even among more capable developers, distillation is often used to accelerate iteration. Photo: AFP

Even among more capable developers, distillation is often used to accelerate iteration. Photo: AFP