After visiting labs in Beijing, Hangzhou and Shanghai, the author said Chinese teams at Alibaba, Moonshot, Xiaomi and others rely heavily on students and practical engineering culture.
The report says Chinese labs collaborate more openly, build more tools and data in-house, face strong demand for Nvidia chips, and see ByteDance and DeepSeek as key competitive benchmarks.
It argues China’s AI sector differs from US rivals in incentives, business models and openness, while government support remains hard to quantify and domestic demand for AI services is still emerging.
As Huawei's AI chips advance, is Nvidia's global dominance facing its first real challenger from China?
With Chinese AI models becoming drastically cheaper, how can Western companies maintain their global market lead?
How is China’s unique AI culture allowing it to thrive despite facing U.S. tech sanctions?
How China’s 2026 Robotics Breakthroughs and Open-Source AI Are Reshaping Global Tech Power
Overview
China's humanoid robotics industry surged in 2025 with mass production from over 140 manufacturers, leading to the 2026 launch of national standards that accelerated ecosystem maturity and cost reduction. Embodied intelligence was elevated as a key future industry in the 15th Five-Year Plan, unlocking significant state funding. Provincial support boosted domestic market share, while public showcases increased acceptance. Rooted in Confucian ethics, China's AI emphasizes social order and collective well-being, contrasting with Western individualism focused on personal freedom and privacy. Facing U.S. chip export bans, China combined stockpiling, domestic semiconductor development, software innovations, and open-source AI promotion to sustain momentum. This open-source strategy rapidly gained global usage, especially in the Global South, shaping a bifurcated AI landscape marked by divergent strategies, supply chain fragmentation, and calls for cautious collaboration on shared risks.