Reliance Industries’ $110 Billion AI Strategy: Implications for Investors and India's Tech Sector
Reliance Industries has announced a transformative 110 billion dollar (10 lakh crore rupees) investment cycle focused on building India’s sovereign AI and data center infrastructure over the next seven years.
This capital commitment is designed to transition the conglomerate from a traditional energy leader into a deep-tech powerhouse. A central pillar of this strategy is the integration of cheap renewable energy with high-scale computing.
The company is currently constructing a multi-gigawatt AI-ready campus in Jamnagar, Gujarat. The first phase of this project is scheduled to bring 120 megawatts of capacity online in the second half of 2026.
By 2030, the group aims to reach a total data center capacity of 1 gigawatt. This scale is expected to generate approximately 1.5 billion dollars in annual revenue, with projected EBITDA margins between 40 percent and 50 percent.
The cost advantage is anchored by a massive 10 gigawatt green power surplus from solar installations in Kutch and Andhra Pradesh. This vertical integration allows for significantly lower operational costs for AI training and inference.
Financially, the group maintains a robust position with an annual consolidated EBITDA exceeding 2 lakh crore rupees. Recent S&P Global ratings have upgraded the company to A- with a stable outlook, reflecting confidence in its cash flow.
Shareholders are anticipating significant value unlocking through planned demergers. The Jio platform demerger is expected to proceed shortly, followed by the retail business and potential renewable energy monetizations.
As of February 2026, the company’s market capitalization remains near 19.5 lakh crore rupees. The current strategy aims to democratize AI by reducing the cost of intelligence as effectively as the firm previously disrupted the mobile data market.
[Deven Choksey on Reliance's $110 billion AI bet](https://www.youtube.com/watch?v=kgJ-6xUVeA4)
This video provides an expert analysis of the financial impact and strategic reasoning behind the massive investment in AI and data centers.
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