Govt backs 20 homegrown AI models, clears 58 centres of excellence
The Union government has approved support for 20 indigenously developed artificial intelligence models and cleared the establishment of 58 centres of excellence across the country, in a significant push to strengthen India's position in the global AI landscape. The decision, announced in a recent review meeting, aligns with the broader National AI Mission aimed at fostering self-reliance in critical technologies.
According to officials familiar with the development, the selected AI models span sectors such as healthcare, agriculture, education, and governance. These models, developed by Indian startups, research institutions, and academic bodies, will receive financial and infrastructural backing to scale their deployment. The centres of excellence will focus on application-oriented research, skill development, and the creation of sector-specific AI solutions.
The move is part of the government's strategy to reduce dependence on foreign AI platforms and ensure that India's digital infrastructure is built on locally developed tools. With the global AI race intensifying, the approval is seen as a timely intervention to harness the country's talent pool and data diversity. Officials said the selected models would be prioritised for integration into government services, particularly in areas like citizen-facing grievance redressal, crop yield prediction, and language translation.
The 58 centres of excellence will be distributed across states, with a focus on Tier-2 and Tier-3 cities to promote regional innovation. Each centre is expected to collaborate with local universities, industry partners, and startups, creating an ecosystem where research can translate into practical applications. The centres are also likely to offer specialised courses in AI ethics, data privacy, and model auditing, addressing concerns about transparency and bias.
Experts in the technology policy space have welcomed the initiative, noting that India's AI models trained on Indian languages and socio-cultural contexts could offer more relevant solutions than generic foreign models. However, they also caution that the success of these efforts will depend on robust data governance, clear intellectual property frameworks, and adequate computing infrastructure.
The government has not yet disclosed the total financial outlay for these projects, but sources indicate that funding will be drawn from the existing Digital India and AI Mission budgets. A formal announcement detailing the list of models and centres is expected in the coming weeks.
This decision comes amid growing global discussions on AI regulation and sovereignty. Several countries, including India, have been advocating for collaborative frameworks that respect national security and public interest. By promoting indigenous AI, the government aims to ensure that the next wave of technological transformation is anchored in India's own priorities and ethical standards.
For citizens, the immediate benefits are likely to be seen in improved access to services, especially in remote areas where language models tailored to local dialects can bridge communication gaps. The long-term impact, however, will depend on how effectively these initiatives translate into real-world outcomes, sustainable employment, and a vibrant innovation ecosystem.
