India has to develop its Own AI: Tata Sons CEO explains important layers and pillars to do so. Tata Sons new chairman N Chandrasekaran on Friday defined four necessary layers and four important pillars necessary for India to achieve AI supremacy while speaking at Mumbai Tech Week. He said that India must develop a ruler of artificial intelligence (AI) potentiality to safeguard its languages, culture, and digital freedom.
To build a strong AI platform, Tata Sons chairman spotlights four important stages: a primary layer to establish the India AI pyramid, a functional layer for AI replica development, an application layer for creating modular AI systems, and a management layer to regulate AI launch effectively.
Join The Telegram Channel: Join Now!
India has to develop its Own AI
Also, he identified four important pillars for AI sovereignty: technological sovereignty (developing tools and applications without external dominion), data supremacy (protecting Indian data), talent sovereignty (bringing up local AI proficiency), and governance sovereignty (confirming AI regulation aligns with India’s priorities).
If we don’t develop sovereign AI abilities, we run the risk of having all our activities, languages, and cultures processed by AI systems that don’t understand India. This could lead to a form of technology expansionism that we must avoid,” Chandrasekaran said.
He makes it clear that sovereign AI does not mean technological separation. “We are required to build the necessary capabilities, put the infrastructure in place, and develop skills to be independent in how we develop, deploy, and use AI with our data,” he said.
Despite the difficulty of the task, Chandrasekaran expressed assurance in India’s ability to grow as a leader in AI, citing the country’s vast and complex data ecosystem and strong digital public infrastructure. “The nations that lead AI will not only export AI technologies but will also build future methods of thinking and drive global thought leadership,” he noted.
Highlighting AI as one of Tata Group’s top preferences, he said, “The group has four focus areas AI, sustainability (especially new energy), geopolitical and supply chain flexibility, and talent.”.
Chandrasekaran described AI as an inflection spot in human history, comparable to the finding out and application of electricity over a century ago. communicate trouble about job losses due to AI adoption, he argued that generative AI (GenAI) would be a net job creator in India.
“Let’s acknowledge the reality some routine jobs will be displaced. Not every job will remain. But in most cases, AI, specifically GenAI, will assist low-skilled or no-skilled workers in performing at an expressively higher level of productivity,” he explained.