Editorial analysis: For AI/DS/ML practitioners in India, a national effort to treat AI as public infrastructure would change compute access, funding models, and the shape of open-source contributions. Reporting by The Hindu (editorial) and secondary summaries in TheCoreIAS and InsightsonIndia outline a "Reforms 3.0" roadmap that calls for sovereign AI infrastructure, open-source LLMs, low-cost or free AI tokens for researchers and students, expanded domestic compute and data centres, and public-private partnerships. InsightsonIndia reports India's R&D spend is 0.65% of GDP, estimates an annual $2 billion token subsidy to cover top universities and schools, and cites NVIDIA as commanding over 80% of the global AI training hardware market. The Hindu editorial frames these measures as required to pursue an 8%+ GDP growth trajectory through AI-driven productivity gains.
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