Why Personas Still Matter in the Age of AI

In my previous article, I explored the idea that managing AI is not fundamentally different from managing a team. You scope work, assign it to personas, verify the output through quality gates, and iterate. The structure is identical to how engineering organisations have operated for years. The only thing that changed is who picks up the ticket. But that article focused on the mechanics. The workstreams, the quality gates, the feedback loops. It answered the question of how you manage AI as a workforce. What it did not address is a more fundamental question: why would you bother creating distinct personas in the first place? I already hear you thinking: "Context windows are getting bigger every month. Models are getting smarter. Won't all of this become unnecessary?" It is a fair question. And the answer, at least today, is no. Personas are not a workaround for limited AI. They are a way of encoding something that raw context alone cannot provide: perspective. The Context Window Proble