WASHINGTON, D.C. — India is advancing an artificial intelligence vision grounded in an indigenous framework of “three sutras and seven interconnected chakras,” with an emphasis on inclusivity, affordability, and population-scale impact, India’s Ambassador to the U.S., Vinay Mohan Kwatra, said Thursday.
Speaking at the Brookings Institution, Ambassador Kwatra said India’s relationship with technology offers a distinct global model for the development and deployment of artificial intelligence, particularly as countries grapple with questions of access, governance, and equity.
“We think that the way we adopt… we relate to technology, gives us a good blueprint for a simple, inclusive and globally deployable, innovative tools such as AI,” he said, ahead of a major global AI summit India is set to host next month.
Kwatra delivered the keynote address at a conference titled “On the road to the India AI Impact Summit: Global AI governance and the HAIP Reporting Framework,” organized by Brookings and attended by policy experts and researchers.
Outlining India’s approach, he said the central objective of the AI framework is to democratize access and ensure that innovation reaches society at scale.
“The goal is to make it open, affordable and accessible to all, one and all, ensuring that innovation reaches to every person and the population scale, so that everybody’s able to innovate,” he said.
Kwatra explained that the three sutras serve as the overarching philosophy of India’s AI vision, while seven interconnected chakras guide how AI products are deployed, adopted, and diffused across society.
According to him, the chakras focus on building human capital and talent pipelines, fostering inclusion for social empowerment, ensuring safe and trusted AI, promoting resilience, innovation, and efficiency, democratizing AI resources, and creating value for economic growth and social good.
India, he said, brings “intrinsic strengths” to large-scale AI development, particularly its ability to rapidly diffuse technology across a vast and diverse population.
“For any technology to eventually scale up at the level of society and for the industry and enterprises to draw benefit from technology, it has to be diffused at the level of large society and large enterprises,” Kwatra said.
He pointed to India’s digital public infrastructure as a key example of population-scale platforms that reach the entire population while keeping marginal usage costs extremely low.
Kwatra also said India is building its AI ecosystem simultaneously across all five layers of the architecture — applications, models, compute, data, network infrastructure, and energy.
He emphasized the importance of developing sovereign AI models that reflect local data, culture, and context.
“We are trying to build firmly that we should build our own sovereign AI, sovereign Large Language Models,” he said, citing the need for data security, cultural relevance, and bias mitigation.
“Several AI models are currently being developed under the India AI Mission, with some expected to be launched at the upcoming AI Impact Summit. One full-stack model trained from scratch on 22 Indian languages embeds deep contextual understanding, while another smaller model is being developed for industry-specific applications,” he added.
On international collaboration, Kwatra said India and the U.S. bring complementary strengths to the global AI ecosystem.
“We think that our strengths are complementary,” he said, noting that U.S. AI funds are expanding engineering and research centers in India.
He added that India’s message to the world is that the future of artificial intelligence must be inclusive, transparent, and safe, with benefits extending beyond a limited set of countries or social groups.
“We in India are building an ecosystem that strengthens the nation, uplifts our entire society, and gives us template for building externalities of partnership of AI with other countries of the world,” Kwatra said.
“We think that the AI Impact Summit 2026 will be a pivotal platform to turn the vision into really a global collaborative action.” (Source: IANS)
