All the important news from the ongoing India AI Impact Summit
By Jakub Antkiewicz
•2026-02-23T08:51:19Z
India is positioning itself as a major hub for artificial intelligence, hosting a high-profile AI Impact Summit attended by top executives from OpenAI, Google, and Anthropic. The event, which also drew heads of state, serves as a backdrop for the country's strategy to attract significant investment, underscored by the attendance of figures like Sam Altman and Sundar Pichai. The government's clear intent is to foster a domestic AI ecosystem while securing its place in the global supply chain for AI infrastructure.
Substantial financial commitments and corporate expansions were announced, signaling concrete progress. The Indian government earmarked $1.1 billion for a state-backed venture fund aimed at AI and advanced manufacturing startups. In the private sector, Adani allocated $100 billion to build renewable-powered AI data centers by 2035, while Blackstone acquired a majority stake in AI startup Neysa as part of a $600 million fundraise. Both OpenAI and Anthropic announced new offices in India, with Anthropic partnering with Infosys and OpenAI working with the Tata group to deploy 100 megawatts of compute. These moves are supported by user data, with both companies citing India as their second-largest market after the U.S.
This influx of investment occurs amidst concerns about AI's disruptive potential for India's massive IT services industry, with prominent venture capitalist Vinod Khosla warning that sectors like BPO could largely disappear within five years. In response, a sovereign AI capability is taking shape through the release of domestic language models like Sarvam 30B and the government-backed Param 2. The nation is also solidifying its role in the global hardware supply chain by joining the U.S.-led Pax Silica group and facilitating projects like the G42/Cerebras 8-exaflop supercomputer deployment.
India is executing a dual strategy: attracting massive foreign investment and tech partnerships to build out its AI infrastructure while simultaneously fostering a domestic ecosystem of open-source models and hardware startups to ensure sovereign capability and mitigate the disruption facing its legacy IT sector.