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The article analyzes the growing trend of 'sovereign AI,' where nations like the US and European countries are framing Artificial Intelligence policies around national security and strategic advantage. It argues that India, lacking its own 'frontier AI' models (highly advanced, resource-intensive models), must adopt a strategic approach. India needs to balance deep integration with global AI ecosystems for immediate economic gains while systematically building domestic capabilities to reduce long-term technological dependence and geopolitical vulnerabilities.
The article highlights the critical tension between rapid technological diffusion and structural dependence. Indian IT and app companies must utilize advanced foreign AI models to boost domestic productivity and competitiveness. This early adoption is necessary to generate the economic surplus required for future self-reliance. However, over-reliance creates significant geopolitical risks, similar to the situation in the Indian pharmaceutical sector, which heavily depends on Active Pharmaceutical Ingredients from China despite initiatives like the Production-Linked Incentive Scheme. The massive capital requirement for frontier AI, exemplified by OpenAI's $50 billion compute projection compared to India's total private R&D spend, dictates that India cannot simply outspend global leaders. Instead, India must deepen its 'backward linkages' to frontier technology while strengthening its 'forward linkages' to global markets, capturing the economic advantages of AI applications.
The emergence of sovereign AI marks a shift towards techno-nationalism, where control over foundational technologies is viewed as a matter of national security. The U.S. government's restriction on Anthropic from sharing advanced models with foreign nationals exemplifies this trend. This environment forces India to navigate complex AI geopolitics. Relying entirely on foreign frontier models exposes the Indian economy to sudden policy shifts or export controls imposed by the host nations of these technologies. The article advocates for a nuanced strategy: integrating deeply with the global AI ecosystem while actively mitigating the associated strategic vulnerabilities. This requires a shift from viewing globalization and industrial policy as mutually exclusive to adopting a hybrid approach where public policy actively manages the risks of technological concentration that the private sector cannot handle alone.
To address this strategic vulnerability, the article calls for a whole-of-government approach to underwrite risks associated with AI development. This requires coordinated efforts across Ministry of External Affairs, Ministry of Commerce and Industry, Ministry of Electronics and Information Technology, and potentially defense and energy ministries. Private firms can manage commercial risks, but they cannot insure against geopolitical instability or concentrated technological dependence; this requires state intervention. The state must play a role similar to that in infrastructure development, perhaps utilizing models analogous to export credit guarantees or hybrid-annuity models, where the government absorbs a portion of the risk to foster domestic capabilities. Furthermore, the Indian technology sector must elevate its ambition beyond routine IT services to develop globally competitive products and establish a coherent strategic voice to advocate for these long-term goals.