DeepSeek signals China’s AI dominance, sparking global competition
With the rise of DeepSeek, China has positioned itself as a powerhouse in AI foundation models, shifting from being the world’s factory to becoming a leader in large language models (LLMs).
DeepSeek’s advancements have drawn international attention, with US President Donald Trump calling it “a wake-up call” for American industries.
OpenAI CEO Sam Altman also acknowledged DeepSeek’s R1 model as an “impressive” competitor, particularly in terms of cost-effectiveness, reported timesofindia.indiatimes.com.
In response to China’s progress, India is divided on its AI development strategy.
One faction supports building indigenous LLMs from scratch, while the other advocates for smaller, domain-specific language models.
Sarvam AI, a homegrown startup, has developed a platform trained on 2 billion parameters with a focus on Indian languages In contrast, DeepSeek’s R1 boasts 671 billion parameters without a specific use case focus
India debates its AI strategy as global competition heats up
Experts highlight India’s potential in AI, emphasizing the need for greater investment in infrastructure and research.
Viral Shah, co-creator of the Julia programming language, notes that India has both capital and talent, with major VC firms and chip designers like Nvidia and Intel present in the country.
However, he stresses the importance of improving ease of business, higher education, and deeptech R&D to establish a competitive AI ecosystem.
Gartner VP Arun Chandrasekaran echoes the need for increased investment in AI research, infrastructure, and compute power.
He suggests that assembling the brightest minds and providing them with cutting-edge facilities could be the breakthrough India needs.
Anand Dubey, CEO of Indkal Technologies, points out that China’s private companies have long focused on commoditizing hardware, a strategy that has contributed to their AI leadership. India must now decide its path forward to remain competitive in this rapidly evolving space
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