Pranav Hotkar
Mumbai, India, October 26, 2025- Reliance Industries is being sized up by Wall Street as a potential major builder of AI infrastructure in India, with analysts estimating the company could invest roughly USD 12-15 billion over the coming years to develop AI-ready compute and power capacity, a number being widely reported in the market though not formally confirmed by the company.
Reliance’s new-energy push with large-scale computing, effectively using sites such as Jamnagar to host gigawatt-scale data-centre capacity powered by cleaner, dispatchable energy.
“We estimate that Reliance will spend approximately USD 12-15 billion on AI infrastructure to develop a 1GW data centre,” the industry analyst said. That framing has driven a fresh wave of commentary about how Reliance could tilt India’s AI infrastructure landscape.
Reliance itself has signalled a major pivot to AI. At its recent AGM, Mukesh Ambani described AI as central to the company’s next chapter, calling it a strategic national priority and framing new ventures such as Reliance Intelligence to deliver AI services across sectors.
“AI is the new Kamdhenu (referred to in Hinduism as the divine, wish-fulfilling cow),” Ambani told shareholders, using familiar corporate shorthand to stress scale and ambition, but he did not announce a specific USD 12-15 billion capex commitment.
Industry watchers say the headline dollar figure should be read as an informed scenario rather than a signed cheque. The estimate blends possible data-centre build costs, chip and rack purchases, and the large power investments needed to run dense AI compute. Analysts note that how much Reliance itself spends directly versus how much it enables through partnerships and offtakes will shape the final capex math.
If realised, the spend would be transformational, accelerating gigawatt-scale capacity in India, reshaping the market for hyperscalers and bringing new demands for grid upgrades, cooling, and specialist chip supply.
For now, investors and reporters are watching for firm, company-level disclosures or signed financing and offtake deals that would move the USD 12-15 billion estimate from an analyst scenario to a corporate fact.
