PIB Summary- 7th March, 2025 | PIB (Press Information Bureau) Summary - UPSC PDF Download

India’s AI Revolution

Context

India is making rapid strides in artificial intelligence by investing in research, innovation, and skill development to strengthen its technological capabilities

This progress aims to boost economic growth, promote digital inclusion, and establish India as a global AI leader.

AI Ecosystem Development

• The Indian government is actively shaping an AI ecosystem with affordable access to computing power, GPUs, and research opportunities.
• Initiatives like the IndiaAI Mission and Centres of Excellence for AI aim to foster innovation and self-reliance.
• These efforts align with Viksit Bharat 2047, positioning India as a global AI powerhouse.

AI Compute and Semiconductor Infrastructure

• IndiaAI Mission 2024 allocated ₹10,300 crore over five years to strengthen AI capabilities.
• A high-end computing facility with 18,693 GPUs is being developed, making it one of the largest AI compute infrastructures globally.
• Open GPU marketplace ensures AI access for startups, researchers, and students.
• Indigenous GPU development planned within 3-5 years to reduce import dependency.
• Affordable compute access: ₹100/hour for AI computing, compared to the global cost of $2.5-$3/hour.
• Semiconductor manufacturing boost: Five semiconductor plants under construction to support AI and electronics.

Advancing AI with Open Data & Centres of Excellence (CoE)

• IndiaAI Dataset Platform provides access to anonymized, non-personal datasets.
• Three AI Centres of Excellence (CoEs) established in Healthcare, Agriculture, and Sustainable Cities.
• AI CoE in Education (Budget 2025) with ₹500 crore outlay.
• Five National Centres of Excellence for Skilling to train AI professionals.

India’s AI Models & Language Technologies

• Development of indigenous Large Language Models (LLMs) and Small Language Models (SLMs).
• Digital India BHASHINI: AI-led language translation platform for Indian languages.
• BharatGen: Government-funded multimodal LLM initiative for public service delivery.
• Sarvam-1 AI Model: 2-billion parameter LLM supporting 10 Indian languages.
• Hanooman’s Everest 1.0: Supports 35 Indian languages, expanding to 90.

AI Integration with Digital Public Infrastructure (DPI)

• AI-enhanced Aadhaar, UPI, and DigiLocker services drive innovation.
• AI-powered crowd management solutions used at Mahakumbh 2025.
• Bhashini-powered Kumbh Sah’AI’yak Chatbot enabled multilingual services.

AI Talent & Workforce Development

• IndiaAI Future Skills initiative expanding AI education across UG, PG, and PhD levels.
• India ranks 1st in AI skill penetration (Stanford AI Index 2024).
• AI workforce has grown 14-fold from 2016-2023; demand to reach 1 million AI professionals by 2026.

AI Adoption & Industry Growth

• 80% of Indian businesses consider AI a strategic priority (BCG report).
• AI startup funding surged 6x in Q2FY2025 to USD 51 million.
• AI adoption in workplaces: 70% of Indian employees used AI in 2024, up from 50% in 2023.
• AI-driven SMB growth: 78% of Indian SMBs using AI reported revenue growth.
• India’s AI market CAGR projected at 25-35%, boosting innovation and job creation.

Conclusion

• India’s artificial intelligence strategy has the potential to drive economic growth, enhance productivity, and foster digital inclusion.
• However, addressing challenges like data privacy, skill gaps, and ethical concerns is crucial for its effective implementation.