Adani, Reliance Pledge Over $100B Each for India AI Infrastructure

- Adani's investment is earmarked for developing hyperscale AI-ready data centers powered by renewable energy, with a goal of reaching 5 gigawatts of capacity by 2035. This initiative is expected to catalyze an additional $150 billion in the broader AI ecosystem, covering everything from server manufacturing to sovereign cloud platforms. - Reliance's investment, to be deployed over the next seven years, will focus on building gigawatt-scale data centers, with the first 120 MW phase in Jamnagar expected to come online in the second half of 2026. The company plans to power this infrastructure with up to 10 GW of its own renewable energy surplus. - This private sector spending vastly overshadows the Indian government's own IndiaAI Mission, which is backed by a fund of roughly $1.25 billion. The mission aims to bolster India's AI ecosystem by procuring over 10,000 GPUs through public-private partnerships to create a national AI compute infrastructure. - The scale of these investments aims to dramatically increase India's current data center capacity, which stood at 950 MW in 2024. Projections estimate this capacity could double to 2 GW by 2026 and surge to 8 GW by 2030, requiring a total capital expenditure of around $30 billion. - Both companies are framing their investments as a push for "sovereign AI," aiming to reduce India's reliance on foreign technology and ensure the country's data is hosted domestically. Mukesh Ambani of Reliance stated, "India cannot afford to rent intelligence," signaling a strategy to lower the cost of AI in the same way Jio lowered the cost of mobile data. - To support this infrastructure boom, Adani is co-investing in the domestic manufacturing of critical components like transformers and power electronics to de-risk the supply chain. The group is also partnering with academic institutions to develop specialized AI infrastructure engineering programs. - This infrastructure build-out creates opportunities for Indian startups focused on developer tools and AI infrastructure, a sector already attracting significant venture capital. As of early 2026, India's 1,700+ AI-native companies have collectively raised over $5.5 billion in equity. - The push extends beyond just data centers to a full-stack AI strategy, with Indian startups like Sarvam AI and Krutrim (India's first AI unicorn) developing foundational large language models trained on Indian languages and data. Sarvam AI, for instance, has launched models with up to 105 billion parameters.