India, June 6 -- There is no doubt that AI voice agents are having their moment. But most conversations around voice AI today revolve around large language models (LLMs) or conversational orchestration. However, beneath the flood of demos, enterprise pilots, and automated calling systems lies a far less glamorous layer quietly carrying the entire ecosystem: telecom infrastructure.

Every AI voice call still depends on the telecom infrastructure that decides whether the agent connects cleanly, responds quickly and maintains a usable conversation. But the voice AI stack was never designed for AI in the first place.

Latency, routing, spam detection, and call completion were built for human traffic, not machine-scale conversational calls. Th...