Tata Communications plans to invest up to $450 million in a new AI network across India. The company aims to build approximately 10,000 kilometres of long-haul fibre to connect major data centres and artificial intelligence hubs. As AI adoption grows, this infrastructure could help businesses handle increasing data traffic and support more demanding digital services.
Tata Communications AI network targets 10,000 km
The planned investment ranges from $400 million to $450 million. Through this project, Tata Communications aims to strengthen connectivity between key technology centres across India.
The company plans to develop the network in three phases. Initially, the rollout will focus on the Mumbai–Pune–Hyderabad–Chennai corridor. These cities are important technology and business hubs, with growing demand for cloud computing and AI infrastructure.
Furthermore, the company intends to expand connectivity to additional locations as the project progresses. The broader network could include hubs such as Visakhapatnam, Bhubaneswar, Jamnagar and GIFT City.
AI fibre network to connect major Indian hubs
The new fibre network is designed to connect data centres, cloud infrastructure and other technology facilities. In addition, Tata Communications plans to integrate the network with its global backbone and international cable landing stations.
This approach could help customers connect their Indian operations with international markets. It may also support businesses that need reliable, high-capacity connections to move large volumes of data between locations.
However, the final benefits will depend on the rollout schedule, network capacity and demand from customers. The company plans to develop the infrastructure over approximately three to five years.
Why AI infrastructure needs faster connectivity
AI applications require substantial data processing and frequent communication between computing systems. As a result, data centres need reliable connections with sufficient capacity to handle growing workloads.
High-capacity fibre can help meet these requirements by moving large volumes of data between facilities. Moreover, stronger connectivity can support cloud platforms, AI services and enterprise applications that depend on fast data transfers.
The proposed network could therefore benefit hyperscalers, cloud providers, AI companies and global capability centres. Enterprises may also use the infrastructure to support their expanding digital operations.
Nevertheless, fibre connectivity is only one part of the AI infrastructure ecosystem. Data centres also require computing hardware, power, cooling systems and suitable network equipment.
Tata Communications targets India’s AI growth
India’s expanding digital economy is increasing demand for data centre capacity and cloud services. Against this backdrop, investments in fibre infrastructure could help connect emerging AI hubs with established technology markets.
Tata Communications plans to use its existing network capabilities to support the expansion. Its international connectivity could also help businesses link their Indian facilities with overseas operations.
At the same time, the project reflects the growing importance of telecom infrastructure in AI development. While computing power attracts significant attention, reliable connectivity is also essential for moving data between systems.
When will the AI network generate revenue?
Tata Communications expects to roll out the network over three to five years. According to reports, the investment could begin making a meaningful financial contribution around the 2028–29 financial year as fibre becomes operational and capacity comes online.
However, the timing will depend on construction, deployment and customer demand. The planned investment should not be interpreted as completed infrastructure or revenue already generated.
Overall, the project could strengthen India’s digital backbone as businesses expand their use of AI and cloud computing. Its long-term impact will depend on how quickly Tata Communications deploys the network and attracts customers to the new capacity.
