7 common mistakes people make with AI at work
Most frustration with AI at work comes from a handful of avoidable mistakes — vague asks, unchecked facts, sensitive data in the wrong place, and giving up after one try. Here's each one, and the fix.
1. Asking vaguely, then blaming the tool
"Write me an email" gets a generic email. The AI can't see your situation, your reader or your constraints — so it guesses, and the guess reads like a template.
The fix is a brief, not a better tool: who it's for, what you want, the material to work from, and the constraints. Thirty extra seconds of context changes the output completely.
2. Trusting confident wrong answers
AI states things with the same fluency whether they're true or invented. A wrong figure, a made-up statistic and a real one all arrive in the same calm tone.
The fix: treat every output as a draft from a capable but new colleague. Check names, numbers, dates and anything quoted as fact before it leaves your desk. You stay accountable for what you send.
3. Pasting in things that shouldn't leave the building
Customer details, salaries, prices under negotiation, anything under a confidentiality agreement — once pasted into a tool your employer hasn't approved, you've lost control of it.
The fix: remove or replace sensitive details with placeholders before pasting, and use your employer's approved tool where one exists. When in doubt, describe the structure instead of sharing the content.
4. Trying once and giving up
The most common story: someone asks AI for something, gets a mediocre answer, and concludes AI is overhyped. One attempt is like judging a new colleague on their first hour.
The fix: correct, don't restart. "Shorter, less formal, lead with the deadline" usually turns a poor draft into a good one. Two or three rounds of correction is normal, not a failure.
5. Using it for the wrong tasks
AI is excellent at drafting, summarising, restructuring and explaining. It's poor at knowing your company's real numbers, judging people, and anything where being wrong has legal or financial consequences you can't check.
The fix: match the task to the tool. Start where you can easily judge the output — you already know what a good version looks like — and keep the high-stakes judgement calls for yourself.
6. Sending output that doesn't sound like you
Colleagues can tell. The overly polished, slightly generic email signals that you didn't write it — and in a relationship-driven workplace, that costs more than the time you saved.
The fix: always edit into your own voice. Change the phrases you'd never say, keep the ones you would. AI should write the draft; you should write the send.
7. Treating it as an event instead of a habit
Watching a webinar or reading a tips list feels like progress but fades within a week. Skill comes from repetition on real work, not from information.
The fix: small and daily beats big and occasional. One real task a day with AI — five or ten minutes — builds more capability in a month than any course. That's the entire idea behind coaching.
A coach catches these for you
Your AI Work Coach builds the right habits from day one: how to brief properly, what to check, what to keep out of the tool, and how to use AI safely — on your real work, a few minutes a day.