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SPIEF'25: India Unveils 4-Pillar AI Strategy to 'Democratise' Technology

© Photo : Roscongress Foundation/Oleg BarkhanovМакет российского высокоскоростного поезда на ПМЭФ на ПМЭФ-2024
Макет российского высокоскоростного поезда на ПМЭФ на ПМЭФ-2024 - Sputnik India, 1920, 20.06.2025
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At the St. Petersburg International Economic Forum (SPIEF) 2025, India's Union Minister of Railways, Electronics and Information Technology, and Information and Broadcasting, Ashwini Vaishnaw, unveiled India’s comprehensive AI mission structured around four key pillars.
India’s Union Minister of Railways, Electronics & Information Technology, and Information & Broadcasting, Ashwini Vaishnaw, met Russian Deputy PM Alexei Overchuk, and Russian Railways CEO Oleg Belozerov to discuss cooperation in transport, connectivity, rare earths, and railway innovations, including high-speed trains and new joint projects.
The minister also outlined four key pillars of India’s AI Mission: democratising computer access, adopting a techno-legal governance model, building indigenous AI models, and nurturing talent across all levels.

“This AI mission aims to harness the power of technology in a way that benefits all sections of society. We believe technology must be democratised so that the benefits of AI are not concentrated, but shared widely across startups, researchers, and institutions,” Vaishnaw said at SPIEF 2025.

INDIA’S 4-PILLAR AI STRATEGY

1. Access to Shared Compute Infrastructure – 34,000+ GPUs

To support AI innovation across the ecosystem, India has built a national compute facility with over 34,000 Graphics Processing Units (GPUs). This infrastructure is designed to be accessible to startups, research institutions, and developers across the country.
“We developed a very large pool of GPUs. As we speak, we have about 34,000 GPUs, which is a common compute facility available to everybody who wants to use it,” Vaishnaw said.

2. Techno-Legal AI Regulation

India plans to adopt a hybrid governance framework that uses both technological tools and legal safeguards to mitigate AI risks such as misinformation, bias, and misuse.
“Many of the harms that arise from AI can be solved by using technological means. You cannot address them merely by creating a new law,” Vaishnaw emphasised.

3. Indigenous LLMs & Sector-Specific Models

Recognising the need for AI tools tailored to Indian contexts, the mission includes the development of large language models (LLMs) and smaller, domain-specific AI models in areas like power grid management, healthcare, and education.
“We are focused on developing our own large language models and also sector-specific small models free from the biases that come from training on datasets rooted in other geographies,” the Minister said.

4. AI Talent Development

India has revamped its engineering and technical curricula to prepare the next generation of AI professionals. The talent strategy focuses on three levels:
Mass-level awareness of the use of AI applications
Application-level training for professionals
Research-level specialization for advanced innovation
“We’ve taken up talent development at mass, application, and research levels to ensure a sustainable talent pipeline,” Vaishnaw said.
The minister also met Russian Deputy PM Alexei Overchuk, and Russian Railways CEO Oleg Belozerov to discuss cooperation in transport, connectivity, rare earths, and railway innovations, including high-speed trains and new joint projects.
Banners with the logo of the St. Petersburg International Economic Forum (SPIEF) in central St. Petersburg, Russia.  - Sputnik India, 1920, 18.06.2025
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