Indian companies look to Chinese LLMs as AI costs bite
Indian companies are increasingly adopting Chinese large language models (LLMs) from developers like DeepSeek, Alibaba, and Moonshot AI to significantly reduce their artificial intelligence expenditures. This trend extends India’s reliance on China for advanced technologies, despite ongoing geopolitical tensions between the two nations. The cost savings are substantial, with Chinese open-weight LLMs being accessible at a fraction of the price of proprietary US models from companies like OpenAI and Anthropic. This shift is driven by the high costs associated with US models, which many Indian firms find to be overkill for their basic AI needs, leading to a global reevaluation of AI spending from indiscriminate usage to a focus on return on investment.
This development highlights a critical shift in Asia's AI landscape, where cost-efficiency is becoming a primary driver for technology adoption, even over geopolitical considerations. The aggressive pricing and open-weight nature of Chinese LLMs are enabling Indian startups and potentially larger firms to access advanced AI capabilities without the prohibitive costs associated with US frontier models. This could accelerate AI integration across various sectors in India, fostering innovation by making AI more accessible to a broader range of companies. The increased usage of Chinese models, which has more than doubled in recent weeks, indicates a significant market rebalancing where value and practicality are outweighing brand prestige.
However, this reliance also raises questions about India's AI sovereignty and the long-term implications of deepening technological dependence on China, especially given historical tensions. While India is investing in its own LLM development, the pace and scale of these investments lag behind China's. The potential for data security risks with unverified deployment artifacts and the vulnerability to foreign model cut-offs in a fragile geopolitical environment underscore the need for India to build robust domestic AI capabilities and resilience.
