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Are the US’ AI models better than China’s? That may be beside the point

China is shifting from competing on frontier AI performance to releasing affordable, open-weight AI models for mass adoption, mirroring its strategy in manufacturing. This approach allows global users to adapt and deploy Chinese AI models on their own infrastructure, potentially reshaping the AI landscape beyond the US-China tech rivalry.

read1 min views1 publishedJul 8, 2026
Are the US’ AI models better than China’s? That may be beside the point
Image: Scmp (auto-discovered)

Rather than fight US frontier AI control, China is thinning the margins of premium AI with cheap-enough, good-enough models for mass adoption

nearly doubledlast month while Midea Group’s air-conditioner sales in western Europe surged by over 70 per cent in the first six months of the year.

demand becomes desperate. Increasingly, the answer is China – because its air conditioners are available, affordable and good enough exactly when it matters. The same logic may be reshaping something far less visible: artificial intelligence.

[solar panels](https://www.scmp.com/economy/china-economy/article/3358706/china-dominates-solar-and-energy-sector-fears-emerge-over-eus-high-risk-crackdown?module=inline&pgtype=article),

[batteries](https://www.scmp.com/business/china-business/article/3353539/xi-trump-summit-ford-catl-battery-plant-shows-how-global-carmakers-need-chinas-prowess?module=inline&pgtype=article)and

[electric vehicles](https://www.scmp.com/plus/economy/china-economy/article/3347946/evs-lead-chinas-going-global-push?module=inline&pgtype=article). Now, through

open-weight models, it appears to be doing something similar with AI.

The analogy works until it reaches the strategic bottleneck. In manufacturing, China’s advantage became durable because the supply chain stayed in China. Once built, it was brutally hard to relocate. Open-weight AI moves differently.

Once released, a model can live on someone else’s graphics processing units (GPUs), be fine-tuned with someone else’s data and create value inside someone else’s systems. The feedback loop shifts too: in manufacturing, the learning compounds inside the Chinese system. In open-weight AI, much of it accrues to whoever adapts the model.

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