The India Mobile Congress 2026, held in New Delhi from October 7-10, will prioritize AI-native network infrastructure. For investors, this marks a shift from building 5G hardware toward using AI to potentially lower operational costs and improve network efficiency.
The upcoming India Mobile Congress (IMC) 2026, scheduled for October 7-10 at the Yashobhoomi convention center in New Delhi, is set to highlight a major change in how telecom operators plan their technology investments. The focus is shifting from simply expanding 5G coverage to implementing AI-native infrastructure, a change that could influence how companies like Reliance Jio and Bharti Airtel manage their networks and operational costs in the coming years.
Traditionally, telecom operators have focused on hardware deployment. The industry is now moving toward networks designed with AI at their core. This approach, often called AI-native, aims to automate network management, such as detecting faults and adjusting capacity without human intervention. For investors, the potential benefit lies in lower operational expenses. If these systems work as intended, they could reduce the energy costs and manual maintenance required to run massive telecom networks.
A key part of these discussions will be the role of AI-RAN, or Artificial Intelligence Radio Access Network. This technology allows networks to better manage resource allocation. By using AI to optimize how data traffic is handled in real-time, operators hope to get better performance out of their existing 5G infrastructure. This is particularly relevant for Indian telcos, which have invested significant amounts of money into 5G deployment over the last few years and are now under pressure to improve profitability and return on that capital.
Another significant theme on the agenda is Sovereign AI. As the Indian government continues its push for domestic data control and infrastructure development, telecom firms are navigating a complex regulatory environment. This involves balancing the need for global, cloud-based architectures with national requirements for data localization and security. While this supports local technology development, it also introduces regulatory compliance and implementation costs that shareholders should watch.
From a financial perspective, the telecom sector remains capital-intensive with high debt levels for some players. While the move toward automated, software-driven networks offers a path to higher efficiency, it also carries execution risks. Developing or integrating new AI tools can lead to unforeseen costs or delays. Investors should monitor company announcements during the event for details on how these technologies will be funded, whether they involve partnerships with global tech firms, and if they lead to measurable savings in operational overheads.
The next important phase for the sector will be seeing how these concepts move from theory to actual deployment on commercial networks. The event is expected to feature updates from regulators and industry leaders on the timeline for adopting these AI frameworks, which will be critical for assessing the long-term impact on telecom profit margins.