MUMBAI, India: India’s conglomerate Adani Group announced Tuesday it will invest $100 billion by 2035 to develop hyperscale AI-ready data centres, marking one of the country’s largest infrastructure commitments in the artificial intelligence sector.
The announcement comes as India hosts a five-day global AI summit bringing together world leaders, policymakers and top technology executives to discuss the future of artificial intelligence, including job disruption, regulatory challenges and child safety concerns.
According to a company statement, the investment will focus on building large-scale, high-capacity data centres designed to power advanced AI applications and cloud computing services.
The project is expected to significantly strengthen India’s digital backbone and support New Delhi’s ambition to become a leading AI innovation hub.
According to AFP, the summit is set to gather 20 national leaders and 45 ministerial-level delegations, with the key discussions scheduled for Thursday. Prominent technology executives attending include Sam Altman of OpenAI and Sundar Pichai of Google.
The Adani Group said its $100 billion investment is expected to catalyse an additional $150 billion in spending across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and related industries.
“Together, this is projected to create a $250 billion AI infrastructure ecosystem in India over the decade,” the company stated.
The conglomerate said its strategy is anchored by partnerships with Google, which aims to establish a large data centre campus in the coastal city of Visakhapatnam, as well as with Microsoft.
Discussions are also underway with other major global players seeking to establish large-scale AI campuses across India.
Last year, India rose to third place in an annual global AI competitiveness ranking compiled by researchers at Stanford University, overtaking South Korea and Japan.
However, despite ambitious plans and growing infrastructure investments, experts caution that India still faces significant challenges before it can rival global AI leaders such as the United States and China.
