Tata Communications announced plans to invest between $400 million and $450 million to establish 10,000 km of AI-ready connectivity infrastructure across India. This network expansion aims to boost capacity and support the increasing data transfer needs of AI platforms, cloud providers, and hyperscalers within the country.
- Up to $450M investment for 10,000 km AI-ready fibre network
- Network capacity to reach 7.25 petabits per second by FY36
- Initial focus on key AI and hyperscale corridors in India
What happened
Tata Communications is set to invest $400-450 million to build a 10,000-kilometer high-speed fibre network designed specifically for AI connectivity across India. The infrastructure will link key data centres and AI hubs, enabling faster data transfers with minimal latency. The new network will integrate with the company’s global connectivity infrastructure to bolster data flows between domestic and international nodes.
The project will incrementally add about 6 petabits per second (pbps) of network capacity, raising the total to roughly 7.25 pbps by fiscal year 2036. Financing for this expansion is expected to come from Tata Communications’ operating cash flows. The phase one rollout will concentrate on the Mumbai-Pune-Hyderabad-Chennai corridor, a critical AI and hyperscale data centre region, with plans to extend connectivity to other emerging clusters in later stages.
Why it matters
India’s growing AI economy demands connectivity infrastructure that supports large-scale, low-latency data transfer between compute facilities and data centres. Tata Communications’ investment enables the digital ecosystem, including hyperscalers, cloud providers, enterprises, and AI startups, to scale efficiently. The enhanced network capacity and speed are pivotal for AI workloads that require seamless handling of massive datasets and real-time processing.
The upgraded infrastructure also strengthens ties between India’s domestic AI hubs and international cable landing stations, facilitating faster and more reliable data exchange on a global scale. This positions India as a significant player in the global AI infrastructure landscape, supporting lawful data sovereignty needs for enterprises operating in data-sensitive sectors.
What to watch next
The connectivity expansion’s progress will be closely watched by the AI and cloud ecosystem stakeholders, especially hyperscalers and digital-native businesses that rely on robust infrastructure. Observers should monitor the network’s rollout phases, starting with the Mumbai-Pune-Hyderabad-Chennai corridor, as well as Tata Communications’ ability to meet the scaled capacity targets by 2036.
Parallel developments in India’s AI infrastructure sector include similar investments by other players such as E2E Networks, which recently announced a 59% increase in AI compute capacity. Together, these initiatives signal intensified competition and growing momentum in India’s cloud and AI infrastructure market, which could impact regional innovation, data sovereignty, and investment flows in the coming years.