Artificial Intelligence (AI) has moved from being a frontier technology to a foundational pillar of India’s development strategy. Like electricity, computers and the internet before it, AI is reshaping how societies function. In India’s case, it is strengthening governance, improving public service delivery and enabling scalable solutions across agriculture, healthcare, education, manufacturing and climate action.
Yet the real transformation lies not merely in adopting AI, but in democratising it—ensuring that access to computing power, data and models is not restricted to a few large corporations, but widely available to startups, researchers, public institutions and innovators across regions. This inclusive vision aligns closely with the goal of Viksit Bharat by 2047.
What Does Democratisation of AI Mean?
Democratisation of AI refers to making artificial intelligence accessible, affordable and usable for a diverse range of stakeholders. It goes beyond deploying ready-made applications and extends to ensuring access to foundational resources such as:
- Computing power (GPUs, TPUs, supercomputing).
- High-quality datasets.
- Reusable and open AI models.
- Digital infrastructure and connectivity.
This approach widens economic opportunity. With over six million professionals engaged in India’s technology and AI ecosystem, the sector is emerging as a major employment generator. Policy thinking, including reports by NITI Aayog, has emphasised AI’s potential to empower informal workers and enhance access to services and markets.
India’s digital philosophy—reflected earlier in UPI, Aadhaar and indigenous telecom stacks—now extends to AI, with openness and affordability guiding innovation.
India–AI Impact Summit 2026: A Global South Moment
From 16 to 20 February 2026, the India–AI Impact Summit will be hosted at Bharat Mandapam in New Delhi. As the first major global AI summit in the Global South, it aims to shape conversations around inclusive growth, governance and sustainable development.
The Summit will bring together global leaders, ministers, innovators and industry representatives. A key highlight is the “Democratizing AI Resources” Working Group, co-chaired by India, Egypt and Kenya, focusing on making AI infrastructure more equitable globally.
AI Applications Reaching Citizens at Scale
India’s strategy emphasises practical deployment. AI’s value lies in measurable public impact rather than abstract technological achievement.
- Agriculture: AI-driven advisories on weather, pest risks and crop health support farmer decision-making.
- Healthcare: AI-enabled diagnostics and telemedicine enhance rural healthcare access.
- Disaster Management: The India Meteorological Department integrates AI for rainfall and cyclone forecasting.
Language inclusion has been a notable breakthrough through Bhashini, an AI-powered platform enabling translation and speech services across over 36 Indian languages. By lowering language barriers, it ensures digital services are accessible even to those not comfortable with English or typing interfaces.
India’s innovation ecosystem reflects this momentum. With over two lakh startups, nearly 90 percent are estimated to be AI-enabled in some capacity, underscoring deep integration of AI into problem-solving across sectors.
Building the AI Infrastructure Stack
Democratisation depends on strengthening the entire AI stack—applications, models, compute, chips, connectivity and energy.
The IndiaAI Mission, approved in 2024 with a five-year outlay exceeding ₹10,000 crore, provides the institutional backbone for this effort.
Access to Data and Models:
AIKosh serves as a national repository of datasets and models, allowing innovators to build without starting from scratch. Alongside, India is developing indigenous large multimodal AI models trained on local languages and data.
Access to Compute:
Over 38,000 GPUs and 1,050 TPUs have been onboarded under subsidised schemes, reducing entry barriers for startups and researchers. High-performance systems under the National Supercomputing Mission, including PARAM Siddhi-AI and AIRAWAT, provide shared access for language processing, weather modelling and drug discovery.
Access to Chips:
The India Semiconductor Mission supports domestic manufacturing and design, reducing long-term dependence on global supply chains. With cumulative investments exceeding ₹1.60 lakh crore across approved projects, semiconductor capability is becoming a strategic priority.
Connectivity and Data Centres:
5G services now cover nearly all districts, with over five lakh base stations deployed. Cloud data centre capacity stands at around 1,280 MW and is projected to expand four to five times by 2030. Investments by global technology firms further reinforce India’s data infrastructure landscape.
Energy as the Backbone of AI Growth
AI infrastructure is energy-intensive. Ensuring reliable and sustainable energy is therefore central to AI democratisation.
India achieved 50 percent cumulative installed electricity capacity from non-fossil sources in 2025, ahead of schedule. Renewable capacity has crossed 250 GW, while nuclear power—strengthened under the SHANTI Act 2025—provides stable baseload energy. This clean energy expansion ensures that AI growth does not compromise sustainability commitments.
Regulation, Data Governance and Trust
Democratisation requires trust. India’s regulatory approach seeks to balance openness with safeguards.
- MeghRaj (GI Cloud) supports scalable government cloud services.
- The Government Open Data License enables reuse of non-sensitive public datasets.
- The Digital Personal Data Protection Act 2023 strengthens privacy safeguards.
Together, these frameworks create a stable environment for AI innovation while protecting citizen rights.
Skilling the AI Workforce
Technology diffusion depends on human capability. India’s approach spans school-level literacy to advanced research:
- Centres of Excellence in healthcare, agriculture and education.
- Skilling for AI Readiness (SOAR) targeting school students.
- YUVAi programme for AI exposure in Classes 8–12.
- PhD and postgraduate fellowships under the IndiaAI Mission.
AI labs in Tier II and Tier III cities expand opportunity beyond metropolitan clusters, reinforcing regional inclusion.
Global Cooperation and the Global South
For many developing countries, access to AI resources remains constrained by cost and infrastructure limitations. The India–AI Impact Summit’s focus on distributed infrastructure and capacity-building positions India as a bridge between advanced and emerging economies.
By framing AI resources as global public goods, India advocates a development-centric approach—contrasting with purely market-driven or securitised narratives elsewhere.
What to Note for Prelims?
- IndiaAI Mission: ₹10,371.92 crore outlay.
- India Semiconductor Mission: ₹76,000 crore outlay.
- Digital Personal Data Protection Act 2023.
- AIKosh and Bhashini platforms.
- 50% non-fossil installed electricity capacity achieved in 2025.
- 5G coverage: 99.9% districts.
What to Note for Mains?
- “Democratisation of AI is essential for inclusive development.” Discuss.
- Examine the role of digital public infrastructure in shaping India’s AI ecosystem.
- Analyse the relationship between semiconductor capability and AI sovereignty.
- Discuss the challenges of balancing innovation with data protection and ethical governance.
- Evaluate India’s potential role in shaping a Global South consensus on AI governance.