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India has unveiled an ambitious, full-stack artificial intelligence roadmap that positions the country as a serious contender in the next phase of the global technology race, with parallel progress across five strategic layers- applications, models, chips, infrastructure and energy, noted a report by Ventura.
The report says, speaking at the AI Impact Summit 2026, Union Minister Ashwini Vaishnaw outlined what he termed a “whole-of-nation” approach to AI, aimed at building a “frugal, sovereign and scalable” ecosystem. The strategy seeks to ensure that India is not merely a consumer of global AI systems but a creator of foundational technologies.
At the services layer, India’s IT majors are pivoting from traditional software maintenance to AI-led delivery models. Companies such as TCS, Infosys, Wipro and HCLTech are embedding generative AI and agentic workflows into enterprise offerings, collectively reskilling over a million employees to align with AI-as-a-Service (AIaaS) opportunities. This transition is expected to redefine India’s global IT export profile over the next decade.
On the model layer, India is backing sovereign large language models (LLMs) tailored to multilingual and India-specific use cases. The government-backed BharatGen Param2 (17B) model, launched at the summit, is designed to support 22 Indian languages and multimodal capabilities. Indigenous platforms such as Sarvam AI and Krutrim are focusing on Indic language optimisation, document intelligence and cost-efficient inference, positioning themselves as viable alternatives for domestic enterprise and public sector adoption. While global models such as ChatGPT and Gemini retain scale advantages, Indian models aim to compete on localisation, affordability and data sovereignty.