Adani Group commits $100bn to AI-ready data centres
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Indian conglomerate the Adani Group unveiled plans to invest US$100 billion in renewable energy-backed, AI-ready data centres by 2035, more than doubling its current capacity as it seeks to position India as a global AI infrastructure hub.
The company said the investment could generate US$150 billion in economic value across server manufacturing, advanced electrical equipment, sovereign cloud platforms and related industries. Over the next decade, Adani estimates that AI-led infrastructure ecosystems could contribute as much as US$250 billion to India’s economy.
Chairman Gautam Adani underscored the growing energy demands of artificial intelligence, stating that nations capable of aligning power generation with compute capacity “will shape the next decade.” His remarks highlight the core premise of the plan: that AI competitiveness depends as much on energy infrastructure as on software innovation.
The new facilities will build on the 2GW national data centre platform operated by AdaniConnex, Adani’s joint venture with US-based EdgeConneX. The group aims to expand total capacity to 5GW - a scale that would place it among the largest data centre platforms globally and mark a significant leap for India’s domestic AI compute capabilities.
The expansion is anchored by a partnership with Microsoft to establish what is described as India’s largest gigawatt-scale AI data centre campus in Visakhapatnam, alongside additional campuses in Noida. Microsoft-related deployments are also planned across Hyderabad and Pune. Adani said it is in discussions with other global technology firms to develop further large-scale campuses nationwide.
Crucially, the group said the new facilities will be developed as part of an integrated system in which renewable power generation, grid resilience and data processing capacity are scaled in parallel. This approach is intended to mitigate one of the biggest constraints on AI infrastructure globally - securing reliable, high-volume energy supply.
The announcement comes amid intensifying global competition to build “sovereign AI” capabilities - domestically controlled compute infrastructure designed to ensure data security, regulatory compliance and strategic autonomy.
