India must invest in its youth, AI infrastructure, global collaborations, and bold academic reforms (National Education Policy 2020) to place itself at the podium in the ongoing AI supremacy race worldwide. Premier universities like Chanakya University Bangalore nurture students to realise this dream.
Chanakya University, one of the best universities in India for engineering, imbues students with abundant wisdom (jnana), indomitable will (ichha), and meaningful action (kriya) while ensuring that they are deeply rooted in the higher ideals that are truly Indian in spirit, making them model citizens of the world.
In the following sections, let’s explore what India must do or rather doing to lead this AI and AI-Plus revolution. You can explore industry-aligned engineering programs at the official website of CU and learn from the ideals of Chankaya (Kautilya), one of the greatest strategists the world has ever had.
Strategies India Must Take to Lead the AI Revolution
A Holistic Strategy for AI Infrastructure and Skilling the Workforce
It’s promising that India has taken commendable steps in this direction to build an AI ecosystem that will encourage startups and research and development. Here are some key steps or initiatives the Government has taken in recent years.
India is developing an inclusive AI ecosystem with affordable access to computing power, GPUs, and research opportunities. Efforts are being taken to make AI accessible to students, startups, and innovators. Initiatives like the IndiaAI Mission and AI Centres of Excellence are strengthening infrastructure and fostering innovation. These efforts support the vision of Viksit Bharat 2047, positioning India as a global AI leader driving growth, governance, and societal progress.
AI Compute and Semiconductor Infrastructure
- After the approval of India AI Mission in 2024, Rs. 10,300 crore has been allocated for five years to build a resilient and agile AI computing and semiconductor infrastructure.
- The key focus of the mission is to build a high-end common computing facility equipped with 18,693 GPUs (Graphics Processing Units), a capacity that will be nine times the DeepSeek and 2/3rd of what AI model ChatGPT functions on.
- India AI Mission supports the development of AI models in Indian languages and cultural contexts. An open GPU marketplace is planned for researchers, students, and startups.
- The aim is to create our own GPU within 3 to 5 years to minimise dependence on imports. This is also significant from the security perspective and will democratise AI for all.
- Five semiconductor plants are at various development levels, intended to strengthen AI infrastructure and boost our electronics sector.
These developments will generate multiple job roles and thousands of job opportunities. Pursue a quality btech cse program and leverage this AI revolution for your career.
Open Data and Centre of Excellence (CoE)
- 5 National CoEs for skilling and supporting India’s vision of ‘Make for India, Make for the World.’
- 3 AI CoEs for research and development in healthcare, agriculture, and sustainable cities.
India’s AI Models and Language Technologies
- Foundational LLMs (Large Language Models) and SLMs (Small Language Models)
- AI-powered languages translation platform- Digital India BHASHINI
- World’s first multimodal govt. Funded LLM initiative BharatGen launched in 2024
- Sarvam-1 AI model with 2 billion parameters and supports 10 major Indian languages
- Chitralekha (open-source video transcreation platform) and Hanooman’s Everest 1 (multilingual AI system)
AI Integration with Digital Public Infrastructure
India’s Digital Public Infrastructure (DPI), built on platforms like Aadhaar, UPI, and DigiLocker, combines public funding with private innovation. Now enhanced with AI, DPI is powering intelligent financial and governance solutions. Its global appeal was highlighted at the G20 Summit, with countries showing interest and Japan granting a patent to India’s UPI system.
AI Talent & Workforce Development
Along with strategies to encourage research and startups in AI, it is crucial to equip the workforce to run the AI ecosystem.
Here are some initiatives and trends that are powering the nation for an AI-powered future. You can explore btech in artificial intelligence at chanakya university for exceptional learning outcomes and preparedness for the AI plus era.
- Under the IndiaAI Future Skills initiative, AI education is expanding across UG, PG, and PhD programs.
- Fellowships are provided to PhD scholars in AI at the top 50 NIRF-ranked institutes.
- Data and AI Labs are being set up in Tier 2 and 3 cities; a model lab is operational at NIELIT Delhi.
- India ranks 1st in global AI skill penetration (score: 2.8) per Stanford AI Index 2024, ahead of the US (2.2) and Germany (1.9).
- AI talent in India has grown 263% since 2016.
- India leads in AI skill penetration for women (score: 1.7), ahead of the US (1.2) and Israel (0.9).
- India is the fastest-growing developer population globally and ranks 2nd in public generative AI projects on GitHub.
- India accounts for 16% of the world’s AI talent.
- India’s AI industry is projected to reach USD 28.8 billion by 2025, growing at a 45% CAGR.
- The AI-skilled workforce in India increased 14x from 2016 to 2023.
- India, along with Singapore, Finland, Ireland, and Canada, is among the top five fastest-growing AI talent hubs.
- Demand for AI professionals in India is expected to reach 1 million by 2026.
Conclusion
India is adding one Global Capability Center (GCC) every week, solidifying its position as a hub for global R&D. To sustain this growth, the Government must keep updating university curricula with AI, 5G, and semiconductor design under NEP 2020 to equip graduates with job-ready skills. Chanakya university Bangalore provides industry-ready programs like btech in artificial intelligence and equips students towards realising the ‘Viksit Bharat’ vision.
Explore the btech course details at CU and apply now.