Using Generative AI to drive person centric networking

The idea of person centric networking has been around for a while, but it has faced a number of key challenges in gaining widespread adoption. As the number of connected devices, and particularly personally connected, devices continues to increase exponentially the complexity and security challenges of traditional network approaches will require a shift from provider centric to user centric networking. The challenges to adoption of person centric networking have primarily been around ease-of-use, ease-of-configuration and ease of service portability. Generative AI is showing the potential to address these issues by providing mechanisms to dynamically engage and create configurations and solutions that previously required detailed engineering effort. The experience of users today is of a mountainous network of different networks, services and providers. This paper covers how Generative AI developments are already impacting certain areas and what is required for the shift from physical to person centric to be complete and present people with a "personal flat earth" from a networking perspective.