The short answer
Your deep expertise is not just the tasks — it is the judgment underneath the tasks. AI automates steps, not wisdom. The move now is to name what you actually know at that deeper level, then figure out where that judgment is still badly needed.
Your core skills are losing market value in their current form. That is real, and it makes sense to sit with that for a moment. Research on AI and reskilling shows this is happening across many fields — the tasks that follow a clear, repeatable process are the first to go. But the work you did to master those tasks also trained your eye. You learned to spot what is wrong before it becomes a problem. You built a sense of what good looks like. Those things tend to survive disruption.
Marcus Aurelius wrote that every trade focuses on the instrument it is currently using. You have been focused on your instrument — a specific set of technical skills. But you are more than the instrument. The years of practice sharpened something deeper: your ability to judge, adapt, and see what others miss. That is what the research on AI and human collaboration keeps pointing to — AI handles the routine, but humans still own the contextual judgment, the edge cases, the call that requires real experience.
This week, try one concrete thing. Write down three decisions or problems from the last year where your expertise made a real difference — not because you followed a process, but because you knew something that a process would have gotten wrong. Look at what those three moments have in common. That common thread is what you are actually selling. Start there.