Make your human skills part of your AI plan.
A practical exercise for thinking about your work, your strengths, and your next step.
When you think about AI and work, it is easy to focus on the visible output: a report, an image, a spreadsheet, a piece of code. But the work around that output matters too.
Look beyond the deliverable.
Someone decides what the work is for. Someone notices that a brief is incomplete, asks a thoughtful question, or recognizes when an answer will not fit the situation.
Write down those parts of your work. Include the conversations, judgment calls, coordination, and care that do not always appear in a job description.
Make a task map.
Take one recent project and list its steps. For each step, ask: what knowledge did I use, who did I work with, and how did I know the result was good enough?
This is not a prediction of which tasks will change. It is a way to make your current contribution clearer to yourself and to the people you work with.
Choose a learning experiment.
Pick one low-stakes task and explore how an approved AI tool might support it. Compare its output with your expectations. What did you need to explain? What did you have to correct? Where did your experience matter?
Use the experience to start a conversation.
Share what you learned with a colleague or manager. Discuss what training, support, and review would be needed before changing the way the team works.
No exercise can guarantee a particular career outcome. It can help you move from a broad worry toward a specific question and a next step you can take.