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The IndiaAI Mission, launched 7 March 2024 with an outlay of ₹10,371.92 crore, operates under seven pillars — Compute, Foundation Models, Application Development (IADI), FutureSkills, AIKosh, Safe & Trusted AI, and Startup Financing.
762 AI use cases were identified across 62 Ministries/Departments following the India-AI Impact Summit 2026 in New Delhi (16-21 February 2026).
Government has approved 58 AI Centres of Excellence and 543 Data & AI Labs across States/UTs, and awarded 686 IndiaAI Fellowships nationally.
India AI Governance Guidelines (5 November 2025) set up the AI Governance and Economic Group, a Technology and Policy Expert Committee, and an AI Safety Institute.
Information was given by MoS Electronics & IT Jitin Prasada in the Lok Sabha on 29.07.2026.
High-end, scalable AI computing ecosystem for startups and researchers
Key: Largest pillar allocation (~₹4,563 crore) for GPU/compute infrastructure
Indigenous LLMs, multimodal and domain-specific Small Language Models
Key: Aims for sovereign AI capability addressing India-specific use cases
Scale and deploy AI solutions for socio-economic transformation
Key: Runs hackathons/challenges — e.g. CyberGuard AI (with I4C), Face Authentication Challenge deployed at UPSC
Build a robust AI talent pipeline
Key: 543 Data & AI Labs in Tier-2/3 cities, plus student fellowships and industry-aligned curricula
Unified access to high-quality datasets, models and tools
Key: Integrates government and non-government data resources for open innovation
Enable responsible AI development via indigenous governance frameworks
Key: 13 Responsible AI projects selected — bias mitigation, algorithm auditing, explainable AI, deepfake detection
Provide risk capital across the AI startup lifecycle
Key: Bridges funding gaps from prototyping to commercialisation
High-level inter-ministerial body steering India's national AI governance strategy
Undertakes AI safety research, develops standards, tests AI systems and evaluates emerging risks; established January 2025
Issues advisories on AI-related cyber threats and responsible Generative AI use; runs the CSPAI certification programme with SISA
Governs personal data processing in AI systems — purpose limitation, data minimisation, informed consent, and mandatory Data Protection Impact Assessments for Significant Data Fiduciaries
Approved on 7 March 2024 with an outlay of ₹10,371.92 crore, the IndiaAI Mission is India's national programme to build sovereign AI capability — spanning compute infrastructure, indigenous foundation models, AI skilling, open datasets, safe/responsible AI, and startup financing — implemented by MeitY. It follows the India-AI Impact Summit 2026 in translating AI ambition into concrete government use cases.
Simple Analogy: A national AI 'stack' being assembled piece by piece — compute (the hardware), models (the brains), skills (the people) and safety rules (the guardrails) — much as India's Digital Public Infrastructure stack (Aadhaar, UPI) was built layer by layer.
IndiaAI Mission extends India's DPI approach (Aadhaar, UPI, DigiLocker) into artificial intelligence
Directly generated the 762 problem-statement exercise across 62 Ministries via the Cabinet Secretariat
The CyberGuard AI Hackathon under IADI built AI tools now integrated with I4C's cybercrime-classification systems
GS Paper 3 > Science & Technology > Artificial Intelligence; GS Paper 2 > Governance > e-Governance
Recurring — IndiaAI Mission progress features regularly in Parliament replies as pillars roll out
The IndiaAI Mission's unified datasets platform integrating government and non-government data resources
India's national body (est. January 2025) for AI safety research, standards and risk evaluation