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China’s tech hubs race for AI lead as regional output surges
China’s Yangtze River Delta and the Greater Bay Area are racing to lead in core technologies such as AI, as provincial leaders pledged plans aligned with President Xi Jinping’s tech priorities during the annual two sessions.
Zhejiang officials said the province aims to secure national-level strategic technology platforms and accelerate AI development to build an international innovation base with Hangzhou central to those plans.
Yao Gaoyuan, Hangzhou mayor, said the city’s digital economy reached 29.5% of GDP in 2025. He highlighted a group dubbed the Six Little Dragons, including DeepSeek, Unitree, Deep Robotics, and Game Science, and said most recorded triple-digit revenue or output growth last year.
Meanwhile Guangdong’s core AI industry exceeded 300 billion yuan (US$43.49 billion), accounting for 80% of China’s service robot production. To support this growth, officials are now discussing building ultra-large computing clusters and increasing capital-market support for tech start-ups.
🔗 Source: South China Morning Post
🧠 Food for thought
Implications, context, and why it matters.
China’s tech hubs compete on different paths
- The Yangtze River Delta (YRD) and Greater Bay Area (GBA) fit different national playbooks, rather than a head-to-head fight 1.
- Shanghai anchors the YRD with an ecosystem-based model that builds open-source platforms and sets industry standards to speed industrial maturity across the region 1.
- Guangdong leads the GBA by leaning on a world-class electronics supply chain for a demand-led approach built around fast experimentation and tight iteration cycles 1.
- That setup helps Guangdong tackle day-to-day business needs, with about 70% of China’s core robot component suppliers clustered in the Pearl River Delta within the Greater Bay Area 2.
Regional competition supports a national push for global AI strength
- These regional tracks support an “AI + Manufacturing” plan that aims by 2027 to deploy 1,000 industrial intelligent agents (AI systems designed to carry out work tasks) and develop 1,000 benchmark enterprises (model companies meant to set examples for others) 3.
- State policy also asks state-owned enterprises (companies controlled by the government) to open industrial ecosystems to embodied AI (AI that is integrated into physical machines such as robots), paired with wider financing support 4.
- This state-guided contest is turning out adaptable AI models, with Hangzhou-based DeepSeek and Alibaba’s Qwen posting triple-digit gains in a real-money crypto trading contest while OpenAI’s GPT-5 lost nearly 60% 5.
- Global expansion remains the aim, as firms use open-source models to move into emerging markets, and Microsoft estimates DeepSeek usage in Africa runs two to four times higher than in other regions 6.
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