From Panini to AI stack: Delhi is forging new structures, rewriting frameworks, Pg11

Key Highlights:

• India hosted the India AI Impact Summit 2026, the first global AI summit by a Global South nation, with over 20 heads of state and 500 AI leaders from 100+ countries.
• PM Narendra Modi proposed the MANAV vision, emphasizing ethical AI guardrails, data sovereignty, and broad access, reflected in the Delhi Declaration, a major AI governance blueprint.
• India's digital public infrastructure (UPI, JAM trinity) has enabled significant welfare savings ($3.48 lakh crore since 2015), forming the base for its AI advancement.
• Major investments in India's AI infrastructure include Microsoft ($17.5 billion), Google ($15 billion), Amazon Web Services ($8.3 billion), and Adani Group ($100 billion).
• The Union Budget 2026-27 extends tax holidays for foreign companies using Indian data centers and allocates $1.1 billion for an AI venture capital fund.
• India is focusing on building sovereign AI models (Sarvam AI’s LLM, BharatGen’s Param2) and co-building capacity through strategic partnerships (Tata Group with OpenAI).
• India joined the Pax Silica Declaration and the India-US AI Opportunity Partnership to secure supply chains for AI, semiconductors, and critical minerals.

Detailed Insights:

• The India AI Impact Summit 2026 underscores India's ambition to lead in AI governance, advocating for a development-oriented approach with flexible guardrails.
• The MANAV vision seeks to prevent data extractivism, ensuring that AI benefits reach all citizens, including those in rural areas, and are subject to democratic scrutiny.
• India's existing digital infrastructure, including UPI (which processed over 228 billion transactions in 2025) and the JAM trinity, provides a robust foundation for AI development.
• Despite generating 20% of the world's data, India currently hosts only 3% of global data center capacity, a gap the government aims to close through strategic investments.
• The Delhi Declaration promotes global collaboration around three pillars: people, planet, and progress, addressing the need for population-scale solutions like BharatGen, which supports 22 Indian languages.
• The government's target of $200 billion in AI infrastructure investment over the next two years is supported by significant commitments from global tech companies.
• Initiatives like AIKosh, offering over 7,500 datasets and 273 models, and the expansion of IITs from 16 to 23, aim to democratize AI access and foster responsible innovation.
• Strategic partnerships, such as the Tata Group's collaboration with OpenAI, signal a shift towards Indian industry becoming a key player in the global AI supply chain.

Key Concepts Involved:

• Data Sovereignty: The principle that data generated within a nation is subject to its laws and governance.
• Digital Public Infrastructure (DPI): Shared digital platforms, like UPI and Aadhaar, that enable various services and applications.
• AI Extractivism: The practice of harvesting data from developing nations to train AI models, which they then have to pay to use.