Tata Communications has announced plans to invest approximately ₹4,350 crore to build a 10,000-km artificial intelligence (AI)-ready fibre network across India, stepping up its efforts to capitalise on the country’s rapidly expanding data centre and cloud computing markets. The proposed infrastructure, described as India’s AI Super Highway, will connect major data centres, AI hubs and enterprise technology centres through high-speed, high-capacity links designed to move large volumes of data with minimal delay.
The investment, estimated at $400 million to $450 million, comes as businesses increasingly deploy AI applications that require faster and more reliable communication between computing facilities. Tata Communications plans to develop the network in phases, beginning with the Mumbai-Pune-Hyderabad-Chennai corridor before extending connectivity to emerging data centre hubs in eastern and western India.
The company expects the project to strengthen its position in the growing data centre-to-data centre connectivity market. It is targeting a market share of around 30–40% in the business it can address as the new infrastructure is deployed, according to a report by Moneycontrol.
The planned network will complement Tata Communications’ existing domestic and international connectivity infrastructure, creating additional capacity for customers operating large-scale digital services.
The initial phase will connect Mumbai, Pune, Hyderabad and Chennai, cities that host important technology businesses, enterprise customers and data centre facilities. Subsequent phases are expected to extend the network towards Visakhapatnam, Bhubaneswar, Jamnagar and Gujarat International Finance Tec-City, or GIFT City.
The expansion will also connect data centre clusters with international cable landing stations and Tata Communications’ global network backbone. This integration is important for businesses that need to move information between Indian facilities and overseas markets without compromising speed, reliability or security.
AI systems require substantial computing power and continuous movement of data between servers, storage facilities and applications. As companies train and operate increasingly sophisticated AI models, the ability to transfer information quickly between data centres has become an important part of digital infrastructure.
High-capacity fibre networks can help reduce delays, support distributed computing and improve the reliability of cloud-based services. These capabilities are particularly important for hyperscale cloud providers, emerging cloud companies, global capability centres, financial institutions and large enterprises.
Tata Communications is designing its AI Super Highway around high capacity, low latency and network resilience. According to The Economic Times, the company is targeting a round-trip latency of around 15–16 milliseconds on the Mumbai-Chennai route.
Low latency refers to the time taken for information to travel between connected points. Reducing this delay can improve the performance of applications that depend on rapid exchanges of data.
The proposed network is expected to add around six petabits per second of capacity, substantially expanding the company’s ability to handle data-intensive workloads.
Tata Communications plans to fund the investment through its operating cash flows rather than relying initially on a separate fundraising exercise. The rollout will be phased over several years, allowing the company to align infrastructure deployment with customer requirements and the development of data centre capacity.
Rupesh Chokshi, the company’s chief product and technology officer, told The Economic Times that phased execution and coordination with customers would help manage the investment. The company will also need to account for right-of-way permissions, weather conditions and route planning while laying fibre across different regions.
The project is supported by expectations that India’s data centre connectivity market could exceed $1 billion over the medium term. Growing adoption of cloud computing, AI workloads and enterprise digital services is expected to increase demand for dedicated links between facilities.
Tata Communications already operates extensive terrestrial and subsea fibre infrastructure. The new investment is intended to build on these assets while addressing the specific performance requirements of AI-driven computing.
The company’s investment announcement follows an improvement in its September-quarter financial performance. Tata Communications reported revenue of ₹6,688 crore, an increase of 9.6% year-on-year. Net profit rose 86% to ₹341 crore, while free cash flow turned positive at ₹212 crore, according to The Economic Times.
The proposed network could create opportunities for additional revenue as individual routes become operational and customer demand develops. However, the financial returns will depend on how quickly capacity is deployed, contracts are secured and utilisation increases.
Tata Communications is entering a market where technology companies are investing heavily in data centres and AI computing infrastructure. Its strategy focuses not simply on providing internet connectivity, but on building specialised links that allow large digital facilities to exchange information efficiently.
The project also reflects a wider shift in India’s technology investment priorities. Alongside new data centres and computing capacity, the country will need reliable networks capable of supporting increasingly complex AI applications.