India AI Mission – Making the country a global power in AI infrastructure: Chief Minister Dr. Yadav

Bhopal : Chief Minister Dr. Mohan Yadav has said that India AI Mission-India is taking forward the direction of developing national level AI infrastructure. India has secured third position in the Global AI Ranking-2025. AI has been adopted as a strategic tool to increase productivity and effectively utilize the country’s IT talent, demographic dividend and digital public infrastructure. Indigenous datasets, foundation models based on Indian languages, subsidy-based computer infrastructure and a secure and trustworthy AI governance framework are the key features of India AI.

Startups boosted by AI repository and GPU infrastructure

High-quality datasets are the foundation of effective AI systems. More than 6,250 indigenously curated datasets are available on the ‘AI Kosh’ platform along with sandbox tools and free computer access. 38 thousand GPUs are being used at subsidized rates. This has accelerated AI innovation on a large scale. Through the ‘Innovation Centre’, 12 startups are being supported to develop indigenous LLM and SLM.

Effective examples of AI in health and civil services

KRAI Diagnostics has developed the process of TB screening from chest X-ray through AI. Example presented. With the collaboration of India AI, this technology has been implemented in more than 105 countries and has also received FDA approval. Converge In (Nocoba) is working on the use of AI agents in government call centers and grievance redressal systems. WhatsApp based communication system, 100% call auditing and SOP compliance has reduced operational costs and significantly increased citizen satisfaction.

Special emphasis on AI talent creation

Under the ‘AI for All’ program of India AI Mission, industry-aligned courses, fellowships and 570 AI and Data Labs are being set up across the country. Stipend, mentorship and computer access are being provided to UG, PG and PhD students.

Integrated use of GIS and AI in governance

Planning and monitoring at the grassroots level is being strengthened through ‘District GIS Planning System’. The integrated use of AI, GIS, drones and satellite imagery is bringing transparency in urban planning, water management and mining monitoring.

India has moved beyond early digitization and has now made significant progress in digital public service delivery at large scale. Aadhaar, UPI, CoWIN, DigiLocker, Bhashini and ONDC have become the strong cornerstone of this change.

The integration of AI with digital public infrastructure can increase the efficiency of governance manifold in health screening, multilingual service delivery and decision support systems. Linguistic inclusion is the foundation of digital equality. Leadership-led change and capacity building are essential for integrated back-end platforms.

AI for economic development and social welfare

AI has become a powerful tool for productivity growth, job creation, innovation and inclusive growth. AI needs to be approached with a human-centric and social impact based approach, not just a technical solution.

In agriculture, AI-based soil testing and advisory systems have become an effective tool to simplify the decision-making process of farmers and in the health sector, AI-based diagnostics has become an effective tool to accelerate disease detection. AI expansion in MSMEs and Tier-2 and Tier-3 sectors requires strong digital infrastructure, shared data platforms and appropriate institutional arrangements.

Special focus is being given to building secure, resilient and future-ready digital and AI infrastructure. AI is no longer an aspirational technology but a core requirement of public service delivery, industrial competitiveness and digital governance.

AI infrastructure is the key to India’s long-term digital leadership

Given the strategic importance of sovereign data and computer infrastructure, there is a need to develop high performance computing, indigenous hardware, secure data centers and strong supply chains in line with national priorities. Privacy, compliance, accountability, and risk management must be embedded throughout the entire lifecycle of AI. Trustworthy and secure AI infrastructure is key to India’s long-term digital leadership.