AI is changing the role of telecoms.
For years, the AI conversation has centred on GPUs, models and hyperscaler investment. But as AI workloads become more distributed, latency-sensitive and operationally demanding, the network is becoming a critical part of the infrastructure itself.In the latest Agile Telco cover interview, Pallavi Mahajan, Chief Technology and AI Officer at Nokia, speaks to George Malim about why telcos are becoming integral to converged AI infrastructure.
The interview explores:
- why AI infrastructure is becoming a distributed systems challenge
- how workload orchestration and network orchestration need to work together
- why AI traffic behaves differently from traditional internet traffic
- how agentic AI and physical AI are changing network requirements
- why optical innovation is moving deeper into the datacentre
- what AI-RAN is really solving beyond “GPUs in a base station”
- why trust, governance and observability are essential for autonomous infrastructure
As AI moves from the cloud to the datacentre, the edge and the RAN, telcos have an opportunity to move beyond connectivity and become part of the architecture that makes AI work at scale.
Read the interview to understand how Nokia sees the future of AI-native networks, programmable infrastructure and telco-grade autonomy.
[Read the interview in Agile Telco]
