Atmanirbhar AI

UPSC Syllabus: Gs Paper 3- Infrastructure  and Science and Technology

Introduction

Artificial Intelligence is emerging as a major source of economic power, technological leadership, and national security. Recent restrictions on access to advanced AI technologies have highlighted the risks of dependence on foreign platforms. For India, Atmanirbhar AI requires building Sovereign AI capabilities across the entire value chain—energy, infrastructure, compute, models, and applications. Strengthening these capabilities is essential for strategic autonomy, economic competitiveness, and achieving the vision of Viksit Bharat 2047.

Understanding Sovereign AI: The Foundation of Atmanirbhar AI

1. Meaning of Sovereign AI: Sovereign AI is a nation’s ability to build, control, and govern its AI ecosystem across data, models, compute, infrastructure, and policy according to its own interests and laws.
2. Strategic and Economic Importance: AI is expected to contribute significantly to global economic growth. Countries with sovereign AI capabilities will retain economic value and strategic autonomy.
3. Control of the AI Stack: AI self-reliance depends on five connected layers—Energy, Infrastructure, Compute, Models, and Applications. Weakness in any layer increases dependence on external players.
4. Importance for Critical Sectors: Defence, healthcare, telecom, finance, energy, and governance are becoming AI-driven. Sovereign AI helps protect national interests in these sectors.
5. Need for Indigenous Models: India’s linguistic and cultural diversity requires AI systems tailored to Indian languages, sectors, and regulations.

India’s AI Ecosystem and Progress

1. IndiaAI Mission: The government approved the IndiaAI Mission with a budget of ₹10,371.92 crore. It aims to make India a global leader in Artificial Intelligence.
2. Growing AI Ecosystem: India’s technology sector is projected to cross USD 280 billion in annual revenue. More than 6 million people are employed in the technology and AI ecosystem.
3. Startup and Enterprise Adoption: India has around 1.8 lakh startups, and nearly 89% of new startups use AI. About 87% of enterprises actively use AI solutions.
4. Global AI Standing: According to Stanford University’s 2025 Global AI Vibrancy Tool, India ranks 3rd globally in AI competitiveness and is among the leading countries in AI skills, capabilities, and policy development.
5. Compute Infrastructure Expansion: India has expanded AI infrastructure from an initial target of 10,000 GPUs (Graphics Processing Unit) to 38,000+ GPUs, available at subsidised rates for researchers and startups.
6. Semiconductor Development: Domestic semiconductor manufacturing is expanding, while initiatives such as Semicon 2.0 and indigenous chip development aim to reduce external dependence.
7. Data and Digital Infrastructure: AIKosh hosts 5,500+ datasets and 251 AI models across 20 sectors. Large investments are also strengthening domestic data-centre capacity.

Government Initiatives Promoting Atmanirbhar AI

1. Seven Pillars of IndiaAI Mission: The mission focuses on compute infrastructure, application development, datasets, foundation models, future skills, startup financing, and safe AI adoption.
2. Development of Foundation Models: IndiaAI has selected multiple startups and research groups, including Sarvam AIand BharatGen, to develop indigenous AI models.
3. BHASHINI and Language Inclusion: BHASHINI supports 20 Indian languages and uses AI-based translation and speech technologies to improve digital access.
4. Centres of Excellence: Centres of Excellence have been established for healthcare, agriculture, sustainable cities, and education to promote AI-based innovation.
5. Talent Development: The IndiaAI Future Skills programme supports 500 PhD scholars, 5,000 postgraduates, and 8,000 undergraduates while expanding AI labs across the country.
6. Startup and Innovation Support: IndiaAI Startup Financing and global accelerator programmes support AI startups and help them expand internationally.
7. AI Impact Summit and Create in India Mission: The India AI Impact Summit highlighted India’s commitment to AI innovation and indigenous AI development. The proposed Create in India Mission aims to strengthen existing capabilities and build a future-ready talent pipeline.

AI and National Security

1. AI as a Force Multiplier: AI strengthens intelligence, surveillance, autonomous systems, logistics, cyber defence, and command-and-control operations.
2. Operational Use in Defence: During Operation Sindoor, AI enabled real-time multi-source data fusion. Around 23 AI applications supported operational activities.
3. Defence AI Institutions: The Defence AI Council (DAIC) and Defence AI Project Agency (DAIPA) guide AI adoption across the armed forces.
4. Role of DRDO: The Defence Research and Development Organisation (DRDO), its Centre for Artificial Intelligence and Robotics (CAIR), and DRDO Young Scientists Laboratory–Artificial Intelligence (DYSL-AI) have developed more than 75 AI-based defence products covering surveillance, automation, robotics, and cybersecurity.
5. Innovation Ecosystem: The Innovations for Defence Excellence (iDEX) framework and the Army AI Incubation Centre connect startups, academia, industry, and the armed forces to promote indigenous innovation.
6. Trustworthy AI Framework: The Evaluating Trustworthy Artificial Intelligence (ETAI) Framework promotes AI systems that are reliable, safe, secure, transparent, and fair for military applications.

AI for Governance, Inclusion and Public Services

1. Healthcare Applications: AI supports disease detection, medical imaging, telemedicine, and personalised healthcare services, especially in remote areas.
2. Agriculture Support: AI helps farmers through weather forecasting, pest detection, crop monitoring, and advisory services such as Kisan e-Mitra.
3. Education and Skilling: AI is being integrated into school education, DIKSHA, and programmes such as YUVAi to improve learning and future skills.
4. Governance and Justice Delivery: AI supports translation of judgments, automated filing, scheduling, and multilingual legal services under the e-Courts initiative.
5. Weather and Disaster Management: AI-based systems improve forecasting of rainfall, fog, lightning, cyclones, and climate-related events.
6. Inclusive Development: NITI Aayog’s AI for Inclusive Societal Development report focuses on empowering 490 million informal workers through frontier technologies.

Challenges to Achieving Atmanirbhar AI

1. Dependence on Foreign Technologies: India still relies on external technologies in advanced chips, AI hardware, and some critical infrastructure.
2. Limited Advanced Semiconductor Capability: Domestic manufacturing is expanding, but India remains behind leading countries in advanced semiconductor technologies.
3. Low Private R&D Investment: Many firms continue to depend on innovations developed elsewhere instead of investing heavily in frontier research.
4. High Energy Requirements: AI infrastructure requires continuous and reliable power, increasing the need for renewable and nuclear energy investments.
5. Military Integration Gaps: India lacks a unified inter-service data platform and advanced Joint All-Domain Command and Control capability.
6. Ethical and Regulatory Concerns: Questions remain regarding accountability, human oversight, privacy, bias mitigation, and autonomous weapon systems.

Way Forward

1. Strengthen Sovereign Models: Indigenous foundation models must be scaled for Indian languages, sectors, and governance needs.
2. Expand Compute and Semiconductor Capacity: Investments in GPUs, chips, edge computing, and secure cloud infrastructure should continue.
3. Promote Research and Innovation: Greater support is needed for R&D, academia-industry collaboration, and innovation-led entrepreneurship.
4. Encourage Private Sector Participation: Industry must invest more actively in frontier AI development and advanced technologies.
5. Build Skilled Human Resources: AI education, fellowships, skilling programmes, and regional AI labs should be expanded further.
6. Adopt Balanced Regulation: AI governance should protect citizens while encouraging innovation and responsible technology deployment.

Conclusion

Atmanirbhar AI is central to India’s economic growth, technological sovereignty, and national security. Significant progress has been made through the IndiaAI Mission, indigenous AI models, compute infrastructure, defence innovation, and AI-enabled public services. However, long-term success will depend on strengthening every layer of the AI stack. As AI becomes a defining force of global power, building Sovereign AI capabilities will be essential for achieving Viksit Bharat 2047.

Question for practice:

Examine the significance of Atmanirbhar AI for India and discuss the key initiatives, challenges, and measures required to achieve Sovereign AI capabilities.

Source: Businessline