AI Won't Replace You — But Someone Using AI Might
The useful question is not whether AI takes your job. It is what happens when the person next to you does the same work in a third of the time.
Every wave of tooling has produced the same argument, and the answer has rarely been the dramatic one. The work does not disappear; the baseline moves. What one person could reasonably produce in a week becomes what is expected in two days, and the people who adjust first set that expectation for everyone else.
The practical shift is smaller than the headlines suggest. AI is good at first drafts, at translating between formats, at summarising material you would otherwise have to read in full, and at unblocking you when you are stuck on syntax or structure. It is unreliable at judgement: deciding what should be built, what a result means, or whether an answer is actually correct.
So the skill worth building is not prompt trickery. It is knowing which parts of your work are draft-shaped and which parts are judgement-shaped, then handing over only the first category. People who cannot tell the difference either refuse the tool entirely or trust it with decisions it cannot make.
If you want a starting point, take one recurring task this week — a report, a boilerplate module, a set of test cases — and run it through a model end to end. Note where it saved you time and where you had to correct it. That map, built from your own work, is worth more than any list of tips.