Tata Communications has disclosed plans to invest roughly $450 million to construct a 10,000‑km high‑speed fibre network aimed at linking India's emerging AI and data‑centre corridors. The company filed the proposal with the National Stock Exchange and BSE on 26 October 2026, describing the project as an “AI Super Highway”.
What the filing says
The regulatory filing states the expansion will add about 6 petabits per second (Pbps) of network capacity, to be installed between FY2030 and FY2036. Tata Communications said the new routes will connect data‑centre clusters, hyperscalers, cloud service providers, global capability centres, banks and enterprises that require low‑latency, high‑capacity links.
Three‑phase roll‑out and routes
The company plans a three‑phase deployment. The first phase will cover the Mumbai‑Pune‑Hyderabad‑Chennai corridor, which Tata Communications identified in the filing as a critical route for AI and hyperscale growth in India. Later phases will extend connectivity to eastern and western data‑centre ecosystems including Visakhapatnam (Vizag), Bhubaneswar, Jamnagar and GIFT City, the filing said.
- Investment: $450 million
- Length: 10,000 km of fibre
- Capacity to be added: ~6 Pbps (between FY2030 and FY2036)
- Initial corridor: Mumbai‑Pune‑Hyderabad‑Chennai
Existing capacity and utilisation
The company said its current network capacity stands at 1.25 Pbps with utilisation at roughly 70–80%. The proposed addition would therefore represent a substantial increase in the firm’s ability to carry high‑volume traffic between domestic facilities and international hubs, the filing adds.
| metric | figure (as per filing) |
|---|---|
| Current capacity | 1.25 Pbps |
| Planned additional capacity | ~6 Pbps (FY2030–FY2036) |
| Investment | $450 million |
| Fibre length | 10,000 km |
What it means for India
The filing frames the project as strengthening India’s role as a connectivity gateway for cloud and AI workloads, linking domestic data‑centre clusters with international cable landing stations and global AI hubs. By targeting hyperscalers, cloud platforms and large enterprises, the network aims to serve rising demand for inter‑data‑centre bandwidth that accompanies cloud adoption and AI deployments.
The filing also notes the deployment timeline and capacity additions explicitly, tying the new build to medium‑term commercial demand and planned anchor customer commitments. Tata Communications said the expansion will be funded through operating cash flows, according to its stock exchange submission.
Indian policymakers, data‑centre operators and cloud customers will be watching the rollout timetable and route choices closely: better domestic interconnectivity can reduce latency for enterprise AI workloads, shift traffic patterns away from international routes, and influence where hyperscalers and providers place future capacity.
