AI World Order Should Move Past US-China Binary, Says Ex-MEA Tech Chief Golak Kumar Simili
Former MEA tech chief Golok Kumar Simili states that the emerging global AI order will likely consist of multiple interconnected ecosystems, moving beyond a simple US-China binary. Simili notes that while the US maintains strengths in frontier models and chips, China demonstrates capabilities in cost-efficient AI, open-weight models, and industrial deployment. India is positioning itself for strategic autonomy through cooperation, leveraging its Digital Public Infrastructure (DPI) and advocating for ethical, human-centric AI. This approach aims to expand opportunities without deepening inequality or dependence, as discussed in an exclusive interview with ETV Bharat on September 13, 2026.
The discussion around global AI leadership often defaults to a US-China contest, but Golok Kumar Simili's perspective points to a more complex, multi-polar reality. China's advancements in accessible and cost-efficient AI, particularly in industrial deployment and open-weight models, offer a distinct value proposition for developing economies across Asia. This contrasts with the US focus on frontier models and advanced semiconductors. For Asian markets, this diversification means more options for technology adoption and potentially less reliance on a single dominant ecosystem. The critical implication for the region is the emphasis on building resilient supply chains and fostering partnerships. India's DPI model is cited as a framework for inclusive digital systems, suggesting a path for other Asian nations to develop sovereign AI capabilities. The challenge lies in ensuring that this competition fosters innovation while cooperation prevents fragmentation that could exclude smaller economies from shaping future AI rules and technologies.
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