People ask me whether AI will take their job. I used to look for an answer by profession. Then I found myself looking at people with the same job title whose daily work was changing in very different ways.

This talk follows that investigation beyond software engineering. We examine the tasks through which beginners learn, the routine work hidden inside skilled professions, the expectations that rise when tools improve, and organisations that reconsider an automation decision. Each lens changes what we can see.

The distinction I arrive at is between work valued for the volume it produces and work valued for a judgement, a guarantee or a presence someone trusts. That boundary can run through a single profession, and it can move.

My view is that work changes rather than simply vanishing over the long term. That does not make the transition painless or protect every job. The session gives a mixed audience a way to investigate what is changing in its own work and where its contribution may move next.

For interdisciplinary conferences and audiences exploring AI’s effects on work. An investigation across professions gives the session a narrative thread while connecting learning, changing expectations and professional trust. The speaker brings first-hand experience from software engineering and reported cases from other fields. Participants leave with a lens for examining their own tasks and decisions, with the limits of each case kept visible.