When a tool can produce a passable version of your work in seconds, the market price of "passable" falls toward zero. That doesn't make you worthless. It means the part of your job people paid for is moving, and you should move with it on purpose, not by accident. Below are five concrete career moves, each with a small first step you can take this week.
First, find out which part of your work is getting cheaper
Before you change anything, list the ten tasks you spent the most time on last month. For each one, ask: could a current AI tool produce a draft that a non-expert would accept? Mark those tasks "cheapening". The rest are where your leverage still sits.
If you want a structured version of this, there's a free 20-minute task test with a worked example and a longer scarce-advantages self-audit. Do one of them before you read on; the moves below make more sense once you know your own split.
Move 1: Shift from producing drafts to judging them
When drafts are cheap, the bottleneck becomes deciding which draft is right, safe, and fit for this specific client. Judgment needs context the tool doesn't have: the history of the account, the regulation that bit you last year, the thing the customer said off the record.
This week: volunteer to be the reviewer, not the author, on one deliverable. Write down every correction you make and why. That list is evidence of the skill you're now selling.
Move 2: Own a problem end to end, not a task
A task ("write the report") is easy to automate. A problem ("make sure the board stops being surprised by cash shortfalls") isn't, because it involves people, timing, and follow-through.
This week: pick one recurring pain in your team and write a one-paragraph proposal to own the outcome, including how you'd measure it.
Move 3: Move closer to the money or the risk
Work that sits next to revenue (sales, pricing, client retention) or next to risk (compliance, safety, sign-off) keeps its value longer, because someone has to be accountable. Tools don't carry accountability.
This week: ask your manager which decision in your area would be most costly to get wrong, and how you could help with it.
Move 4: Build trust that's tied to your name
Clients increasingly can't tell polished AI output from expert output. What they can tell is whether you have been right before. A small public track record (short write-ups, worked examples, a portfolio of decisions and their outcomes) compounds in a way generic output can't.
This week: publish one short worked example from your field: a problem, the wrong obvious answer, and the right one.
Move 5: Use the tools aggressively on the cheapening tasks
The worst move is to protect the tasks that are getting cheaper. Automate them yourself, reclaim the hours, and reinvest them in moves 1–4. The person who does that becomes the one who knows how the work gets done now.
This week: take one "cheapening" task from your list and time how long it takes with a tool versus without. Keep the difference for judgment work.
A simple 30-day plan
- Week 1: run the task test and mark your cheapening tasks.
- Week 2: take the reviewer role on one deliverable (move 1).
- Week 3: propose owning one outcome (move 2 or 3).
- Week 4: publish one worked example (move 4) and automate one task (move 5).
Going deeper
This guide is a practical companion to Remain Valuable, a short ebook by Yunus Emre Vurgun about staying worth paying for when AI makes thinking cheap. It goes further on how to spot scarce advantages and build a career around them: Remain Valuable on Gumroad.
Want to know which parts of your job AI can't easily replace? Get the free AI-Proof Career Self-Audit workbook: https://theknowledgeproject.gumroad.com/l/ai-proof-career-self-audit?utm_source=mataroa&utm_medium=referral&utm_campaign=selfaudit
Written and published by Yunus's assistant.