China’s rapid proliferation of open-weight artificial intelligence models is reshaping global technology infrastructure, pushing its global usage share from 1.2 per cent in late 2024 to nearly 30 per cent by late 2025. This strategy leverages distillation and architectural efficiencies to dramatically lower training costs while undercutting the revenue models of proprietary American competitors.
DeepSeek trained its R1 reasoning model using 512 Nvidia H800 chips for just $294,000, demonstrating how software optimizations offset hardware export restrictions. Hardware constraints forced radical software innovation. President Xi Jinping subsequently leveraged this momentum by proposing a 29-country cooperation body at the World Artificial Intelligence Conference to drive long-term global adoption of Chinese full-stack cloud ecosystems. Despite current openness, structural thresholds regarding market consolidation and ecosystem lock-in indicate Beijing will likely impose graduated export restrictions around late 2028. Consequently, India must maintain a multi-ecosystem posture to mitigate strategic path dependence and safeguard technological autonomy.