Reliance Industries Limited is making what could be India’s most ambitious private-sector play in artificial intelligence yet. At the India AI Impact Summit 2026, Chairman and Managing Director Mukesh Ambani unveiled a seven-year, ₹10 lakh crore plan to build a “sovereign AI” ecosystem — encompassing multi-gigawatt data centres, renewable-powered compute, and a nationwide edge intelligence network.
Framing the initiative as a matter of national and economic autonomy, Ambani emphasised that India must own its AI backbone rather than rely on foreign providers. “India cannot afford to rent intelligence,” he said, positioning AI as the next critical layer in the country’s digital transformation.
From telecom disruption to AI leadership
The roadmap represents a strategic pivot for Jio Platforms Limited. After reshaping India’s telecom landscape through affordable data and mass connectivity, Jio now intends to replicate that model in AI: scaling domestic infrastructure to lower access costs.
Ambani drew a direct comparison to the telecom revolution, suggesting that cost efficiencies and widespread adoption in AI will similarly require scale, integration, and infrastructure ownership.
At the heart of the plan are AI-ready data centres, with construction underway in Jamnagar. The first 120 megawatts are expected to go live this year, while multi-gigawatt facilities are envisioned to handle advanced AI workloads at a national level.
Green energy integration
Reliance is leveraging its renewable energy portfolio as a strategic advantage. Ambani highlighted up to 10 gigawatts of clean energy across Kutch and Andhra Pradesh to power energy-intensive AI infrastructure sustainably. By pairing green energy with compute capacity, Reliance aims to reduce costs, manage carbon footprints, and align with global sustainability standards — positioning itself uniquely in the AI infrastructure race.
Edge intelligence for real-time applications
Beyond hyperscale centres, Jio plans a nationwide edge computing network embedded within its telecom infrastructure. This distributed approach will allow low-latency AI services to homes, schools, enterprises, and industrial sites, enabling real-time applications in healthcare diagnostics, smart manufacturing, and personalised digital services. Ambani described the vision as making intelligence “as ubiquitous as connectivity.”
Scale, distribution, and sovereignty
Jio’s 500 million-plus subscriber base gives the company an immediate platform to deploy AI applications at scale. Coupled with its integrated telecom, devices, and digital services ecosystem, the infrastructure could anchor India’s domestic AI ecosystem.
Ambani’s announcement also taps into a growing global debate over AI sovereignty, aiming to reduce reliance on international hyperscalers for cloud infrastructure, compute, and AI models.
The plan underscores a shift in India’s digital ambitions. While the previous decade focused on affordable data and device penetration, the next frontier will be control over computational power and intelligence layers.
