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Source — Source: PIB ///Category — GS Paper 3 ///Published — 2026-02-06 ///Exam — Both Prelims and Mains ///Tags — Artificial Intelligence, IT & Computers, Science & Technology ///Source — Source: PIB ///Category — GS Paper 3 ///Published — 2026-02-06 ///Exam — Both Prelims and Mains ///Tags — Artificial Intelligence, IT & Computers, Science & Technology ///

Source: PIB · GS Paper 3

India AI Stack

The India AI Stack is a five‑layer framework aimed at democratising artificial intelligence for population‑scale deployment across health, agriculture, education and governance. It seeks to build sovereign AI models, provide subsidised compute and robust infrastructure, thereby reducing dependence on foreign technology and aligning AI growth with sustainability and public welfare.

2026-02-06

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Source: PIB

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Key Facts and Data Points

Five interlinked layers: Application, AI Model, Compute, Data Centres & Network Infrastructure, Energy.
Application Layer examples: health diagnostics, farm advisories, language translation, e‑Courts, AI‑enabled weather forecasting.
AI Model Layer initiatives: IndiaAI Mission, BharatGen, Bhashini, IndiaAIKosh – focus on Indian languages and public‑service models.
Compute Layer support: subsidised GPUs & TPUs via IndiaAI Compute Portal, national GPU clusters, supercomputers, domestic semiconductor ecosystem.
Data Centres & Network Infrastructure: nationwide optical fibre, near‑universal 5G, major data‑centre hubs in Mumbai, Bengaluru, Hyderabad.
Energy Layer: >500 GW installed capacity, >51 % from non‑fossil sources, battery & pumped storage, nuclear support.

Background and Context

The rapid rise of generative AI globally highlighted India's reliance on foreign models and compute resources.
The IndiaAI Mission (launched 2023) set the vision for a self‑reliant AI ecosystem.
The AI Stack operationalises this vision by integrating end‑to‑end components needed for large‑scale AI deployment.

Significance for India / Governance / Policy

Sovereignty: Indigenous models reduce data‑privacy risks and geopolitical dependencies.
Inclusivity: Tailored AI solutions for regional languages and sectoral needs (agriculture, health) enhance reach to rural and underserved populations.
Affordability: Subsidised compute and shared infrastructure lower entry barriers for startups, academia and government agencies.
Sustainability: Energy layer aligns AI growth with India’s renewable‑energy targets and climate commitments.
Public Welfare: AI‑enabled services (e‑Courts, diagnostics) improve service delivery, transparency and efficiency in governance.

Related Constitutional / Legal Provisions

Article 19(1)(a) – Freedom of speech and expression; AI‑driven language tools can enhance access to information.
Data Protection Bill (draft) – Emphasises data localisation; sovereign AI models help comply with upcoming regulations.
National AI Strategy (2024) – Provides policy framework for AI research, capacity building and ethical AI, under which the AI Stack is a flagship implementation.

References

India AI Mission and Emerging AI Ecosystem (PIB)