Adani Group expands investments in data centers and digital infrastructure across multiple regions, signaling billionaire-backed entry into AI infrastructure capital markets.
The global digital economy is entering a new phase of infrastructure demand, driven largely by artificial intelligence. AI models require enormous computing power, reliable digital infrastructure, substantial electricity, cooling, connectivity, and storage. Gautam Adani, Chairman of the Adani Group, is positioning his conglomerate to capture this opportunity by expanding beyond traditional infrastructure into data centers and AI-related capabilities. His strategy connects data centers with energy, land, construction, manufacturing, and connectivity—an integrated approach increasingly important as AI workloads accelerate.
AdaniConneX, established in 2021 through a joint venture with EdgeConneX, anchors Adani's data center strategy. The partnership combines Adani's infrastructure capabilities with EdgeConneX's global data center expertise. AdaniConneX targets a 2 GW renewable-powered data center footprint by 2030, building on its current portfolio of more than 55 MW of live capacity and a cumulative order book exceeding 560 MW. Its facilities serve enterprises, technology companies, and hyperscale customers, marking a shift from development to large-scale infrastructure delivery.
Data centers are becoming strategic assets in their own right. AI applications require high-density computing environments with dependable power and sophisticated cooling—where Adani's existing energy and infrastructure businesses offer distinct advantages. The group has substantial interests across renewable energy, transmission, logistics, and infrastructure, creating opportunities for vertical integration. AdaniConneX offers renewable energy solutions through Build-to-Suit and Energy-as-a-Solution offerings, connecting digital growth with the group's energy ambitions.
In October 2025, AdaniConneX and Google announced a major partnership to develop an AI-focused data center campus in Visakhapatnam. Google's broader AI hub investment involves approximately USD 15 billion planned through 2026–2030, covering data centers, clean energy, transmission, energy storage, and subsea connectivity. The project aims to support demanding AI workloads and expand India's computing capacity while strengthening Adani's position in hyperscale infrastructure.
Beyond operating data centers, Adani is expanding into AI hardware infrastructure. In June 2026, Adani Enterprises announced an intended alliance with Jabil to develop an AI and data center infrastructure manufacturing platform targeting gigawatt-scale AI rack manufacturing. This layer within Adani's digital infrastructure strategy reduces dependence on imported components while connecting Indian manufacturing with global data center expansion.
Strong connectivity is equally crucial. AdaniConneX recently partnered with DE-CIX India to establish an interconnection hub at Chennai 1, providing access to cloud connectivity and enterprise networking services. The facility connects customers with more than 600 networks across the ecosystem. Chennai's subsea cable infrastructure makes it an important digital gateway, and strong connectivity improves data center campus appeal—reflecting Adani's shift from individual facilities toward connected digital ecosystems.
Adani's data center strategy reflects a larger global infrastructure shift. AI is creating demand for computing, power, connectivity, and specialized hardware, with India emerging as an important destination for digital infrastructure investment. Adani captures this growth through multiple business layers: data centers form the core while energy and manufacturing support expansion. The group has committed to developing 5 GW of green-energy-powered, hyperscale AI-ready data centers by 2035. If execution remains strong, this could transform Adani's role in the technology ecosystem, shifting from infrastructure ownership to digital infrastructure integration—a model increasingly valuable to global technology companies. The next phase of AI growth will depend as much on infrastructure as on software.