Staying Employable as Generative AI Changes Professional Work

Course Overview

Generative AI is not removing whole professions overnight; it is removing specific tasks from many roles at once, and the professionals who stay valuable are the ones who can name precisely which of their own tasks are affected and adapt before a manager or a market forces the point. This course avoids both extremes of the current debate: it neither dismisses the disruption nor treats it as an unmanageable threat. Instead, participants work through a task-level audit of their own role, separating activities generative AI already performs credibly from those still requiring judgement, accountability or relationship trust. From that audit, the course builds practical skills in directing AI tools effectively, checking their output for errors and bias, and combining machine speed with human oversight in a way that produces better work than either alone. The second half addresses career positioning directly: setting reskilling priorities based on the audit rather than generic advice, learning how to describe AI fluency credibly on a CV or in an interview, and building habits of continuous learning that keep pace with a tool set that changes every few months. Sessions include a personal automation-exposure worksheet, guided practice directing AI tools on real work tasks, and a profile-rewriting exercise using each participant's actual experience.