AI Integration in Telecom Networks and 6G Possibilities

Why It Matters

AI‑native telecom infrastructure will unlock high‑value services—such as integrated sensing and real‑time robotics—while improving efficiency, positioning operators as essential enablers of the next digital economy.

Key Takeaways

• AI-native networks require software-defined, programmable base stations from ground up
• Integrated sensing (ISAC) in 6G offers location data via cellular towers
• Operators can monetize AI through low-latency, last-mile services
• AI-driven dynamic protocols boost spectral efficiency and cut energy use
• Physical AI will rely on telco’s time-space coherence for robotics

Summary

At MWC 2026, Tony Pulos hosted a panel with Nvidia’s VP of AI and Telecoms and Super Micro’s head of 5G and edge solutions to explore how artificial intelligence will be woven into the fabric of next‑generation telecom networks. The discussion centered on the shift from retrofitting AI onto existing 5G infrastructure to building AI‑native architectures that are software‑defined, fully programmable, and capable of handling continuous, interactive data flows.

The experts highlighted several concrete opportunities. AI‑native networks differ from “AI on top” by embedding deep‑learning models directly into the radio access layer, enabling self‑healing, dynamic protocol adjustments, and higher spectral efficiency. Integrated sensing (ISAC) in 6G can turn ubiquitous cell towers into location‑aware sensors, opening new revenue streams for enterprises, governments, and robotics. Operators can monetize these capabilities through ultra‑low‑latency, last‑mile services that support both digital and physical AI workloads.

Illustrative remarks underscored the transformative potential: the base station is poised to become the “iPhone moment” for telecom, with open, hardware‑accelerated platforms from Nvidia and Super Micro. Real‑world examples include robots leveraging cellular networks for broader navigation beyond on‑board cameras, and early trials of ISAC expected within the next few years. Energy savings were also emphasized, as AI‑driven traffic management can dynamically allocate spectrum and reduce power consumption.

The implications are clear: telcos must invest in open, programmable hardware and AI‑centric software stacks to stay competitive. AI‑native networks promise new monetization avenues, support for emerging physical AI applications, and operational efficiencies that could reshape the economics of 5G and the forthcoming 6G era.

Original Description

In this TelecomTV video from MWC 2026, Tony Poulos talks to with Soma Velayutham of NVIDIA and Yaming Wang of Supermicro to delve into the transformative role of AI in telecommunications. They discuss the concept of AI-native networks, contrasting it with the traditional approach of adding AI functionalities to existing networks. The conversation spans the monetisation opportunities AI brings to 5G and the anticipation of 6G, including innovative use cases like integrated sensing and communication (ISAC). The experts also touch on how AI can enhance network efficiency and the critical support it will offer to autonomous systems and physical AI. This discussion is essential for understanding the future trajectory of telecom networks and their evolving role in the digital ecosystem.

Featuring:

- Soma Velayutham, Vice President, AI & Telecoms, NVIDIA

- Yaming Wang, Head of 5G and Edge Solutions, Supermicro

Recorded March 2026

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