US commission credits China’s AI edge to open-source models, manufacturing

A US Congressional commission concludes that China’s open ecosystem has narrowed performance gaps with top Western large language models. The report highlights the compounding force of open-source models and manufacturing dominance.

The United States-China Economic and Security Review Commission has concluded in its report that China’s open ecosystem enables innovation close to the AI frontier despite significant compute constraints, with Chinese labs narrowing performance gaps to top Western large language models. “It is the intersection of these two loops – one digital, one physical – that gives China’s open strategy its compounding force and poses the most serious long-term challenge to US AI leadership,” the commission wrote. The report further states: “This open ecosystem enables China to innovate close to the frontier despite significant compute constraints. Chinese labs have narrowed performance gaps with top Western large language models.” It credits China’s AI edge to open-source models and manufacturing dominance. Keywords mentioned include ChatGPT, DeepSeek, MiniMax, Alibaba, and Hugging Face. Determining total Chinese firm spending on AI remains difficult, with investments often opaque and some likely benefiting from state subsidies, compared to hundreds of billions of US dollars by American competitors. The report was covered on March 24, 2026, amid US-China AI competition.

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Chinese minister announces China's AI sector exceeding $165 billion at National People's Congress, with futuristic AI graphics on display.
Picha iliyoundwa na AI

China's AI sector tops $165 billion in 2025, minister says

Imeripotiwa na AI Picha iliyoundwa na AI

The output of China's core artificial intelligence industry exceeded 1.2 trillion yuan ($165 billion) in 2025, with more than 6,200 companies operating in the field, said Li Lecheng, head of the Ministry of Industry and Information Technology. The remarks came after the opening meeting of the fourth session of the 14th National People's Congress in Beijing on Thursday.

At the AGI-Next summit in Beijing, Alibaba AI scientist Lin Junyang warned that China has less than a 20% chance of exceeding the US in artificial intelligence over the next 3 to 5 years due to resource limits. He pointed out the gap, with US firms like OpenAI pouring massive computational resources into next-generation research while China is stretched thin just meeting daily demands.

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Alibaba chairman Joe Tsai has credited China’s advantages in artificial intelligence to investments in its power grid and open-source models. He stated that such massive investments have provided ample supply and low costs for the energy-intensive AI sector. China’s industrial depth highlights vast potential for AI applications, Tsai said.

Shenzhen's local government has announced plans to embed AI across society in its latest five-year blueprint, aiming to bring the technology into every household. The initiative covers 2026 to 2030 and seeks to position the city as one of the world's most technologically advanced by 2035. Analysts view it as a vital testing ground for Beijing's national AI strategy amid intensifying US-China tech competition.

Imeripotiwa na AI

An author attending the Asia Leaders Series in Zurich, Switzerland, suggests the US and China could cooperate on AI risks, similar to their 1972 alignment against a shared threat. The forum's discussions revealed that current global strains are normal rather than exceptional.

China’s Zhipu AI launched its new major model GLM-5 on February 12, 2026, positioning it as a challenge to rivals. The model marks a shift in AI development from ‘vibe coding’ to ‘agentic engineering’ for enhanced performance.

Imeripotiwa na AI

China captured nearly 90% of global humanoid robot sales in 2025, with domestic firms Unitree and Agibot topping the charts. American companies, including Tesla, sold far fewer units despite ambitious targets. This early dominance mirrors China's strategy in electric vehicles, bolstered by state support and supply chains.

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