
Reliance Commits Rs 10 Lakh Crore To Build AI Data Centres In India
Reliance bets Rs 10 lakh cr on 'Jio Intelligence' to build India’s sovereign compute stack, anchoring gigawatt data centres with 10 GW of in-house green power.

Reliance Industries on Thursday committed Rs 10 lakh crore investment over the next seven years towards artificial intelligence and data centres.
Speaking at the day 4 of the India AI Impact Summit 2026, Chairman Mukesh Ambani said this will be used to build a sovereign AI infrastructure, as India “cannot afford to rent intelligence".
The investment strategy, spearheaded by Jio Intelligence, targets to make intelligence “as ubiquitous as connectivity.”
"India cannot afford to rent intelligence," Ambani said, drawing a parallel to Jio's earlier strategy of dramatically reducing data costs. "We will reduce the cost of intelligence as dramatically as we did the cost of data.”
Ambani said the company has already started construction on multi-gigawatt, AI-ready data-centres at Jamnagar. Over 120 MW will come online in the second half of 2026 this year, and a clear path to gigawatt-scale compute for training and large-scale inference.
According to him, the biggest constraint in AI today is not talent or imagination, it is the “scarcity and high cost of compute.”
He added that the company has an advantage of in-house energy with up to 10 GW of ready green-power surplus, anchored by solar in both Kutch and Andhra Pradesh.
“The best of AI is yet to come,” Ambani said.
Ambani also predicted India would emerge as "one of the greatest AI powers in the world" this century, citing the country's nearly one billion internet users, 1.4 billion Aadhaar digital IDs, and a payments network processing over 12 billion transactions monthly as foundational advantages.
On Tuesday, Adani Enterprises also said it will invest $100 billion to build renewable-powered AI-ready data centres by 2035.
Reliance bets Rs 10 lakh cr on 'Jio Intelligence' to build India’s sovereign compute stack, anchoring gigawatt data centres with 10 GW of in-house green power.

