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A job description is a public claim about a person you have not met
AI can draft a job description from a messy brief in minutes. That speed is useful when the hiring manager has five bullets and a deadline. It is also how a fluent advert acquires a degree you do not need, a year-count that screens out the people you meant to attract, and a tone that sounds like every other listing on the board. Requirements, fairness, and the actual interview still need HR judgement and a human decision. ChatGPT does not know your grade structure, your pay band, or whether must-have Python is a real need or a habit. Someone named still publishes the advert and sits in the room.
If you cannot name the work, the must-haves, and the person who will hire, do not generate the advert yet. You are still collecting adjectives.
Four hiring jobs ChatGPT can do, and one it cannot
It can turn a manager's bullets into a clearer JD structure. It can flag gendered or exclusionary phrasing in a draft you already wrote. It can produce interview questions tied to the work, not to trivia. It can rewrite a bloated essential list into must, learnable, and nice. It cannot decide who to hire, score a CV in secret, or know whether a requirement is lawful and necessary in your context. Give it the role outline, the grade, and the bans: no degree unless required, no year-counts unless justified, no culture tests that smuggle similarity. Ask it to mark gaps. Then HR and the hiring manager still own the advert, the shortlist, and the offer.
| Hiring step | Let ChatGPT | You keep |
|---|---|---|
| Job description | Structure and clearer duties | Must-haves, grade, and pay band |
| Language pass | Flag exclusionary phrasing | Whether the bar is justified |
| Interview guide | Questions from the actual work | Who asks, and how you score |
| Offer note | Tone pass on facts you stated | Salary, start date, and conditions |
Brief the advert the way you would brief a fair process
Paste only the role outline you are allowed to paste. State the grade, the team, and the work of the first six months. Ban pedigree inflation, year-counts, and culture slogans. Ask for a JD with must, learnable, and nice, and with [missing] where pay or location is not in the brief. Then read it as a candidate who does not share your background. If a line screens for similarity instead of work, delete it. If a tool is listed as essential and the team trains people on it, move it to learnable. Keep saved briefs for JD, interview questions, and decline notes. Hiring is repeating judgement. A stable brief is how fairness survives a rushed week.
Role: You are drafting hiring text I will publish and defend.
Task: Produce the job description or interview guide I specify from the outline I paste.
Context: Grade, team, and the work of the first six months.
Constraints:
- Do not add degrees, year-counts, or culture tests I did not justify.
- If pay, location, or a must-have is missing, write [missing] instead of guessing.
- Separate duties from inferred prestige.
Output: The artefact, then a list of lines that could exclude people without predicting the work.
Quality checks: Which requirements a sceptical HR partner would challenge.If the critique list shows a degree or a year-count you did not intend, you have already been saved a biased advert. That list is the point of the prompt. Save it in a shared note so the next hiring manager does not start from write a JD. Keep the version that survived contact with HR, and retire the one that hired for pedigree on the page. Five briefs the team uses beat a private trick.
Inflated bars, secret scoring, and an interview the model should not run
Inflated bars are the common failure. A model pads essential lists because adverts look serious with ten tools and a degree. You will shrink the pool and still not get a better hire. Secret scoring is worse: pasting CVs into a chat and asking who is strongest. That is a people decision with no process, no appeal, and a high chance of copying old bias in fluent form. The third failure is letting the model run the interview by generating clever puzzles that do not match the work. You still have to meet the person, test the work, and own the yes or no. Fluency in the JD is not fairness in the hire.
| Mistake | What it looks like | What to do instead |
|---|---|---|
| Write a JD | No work, no grade, no ban | Six-month work, must, learnable |
| Pedigree padding | Degree plus eight years | Only bars that predict the work |
| Hidden ranking | Who is the best CV | A human process you can explain |
| Puzzle interview | Brain-teasers from the model | Questions from the actual job |
A fluent ranking of people is not a screening tool. It is a decision about humans without an owner, a process, or a defence you can explain.
Related reading on StudyGrid
Read next: AI for Human Resources AI for Onboarding New Hires Workplace AI Policy for Small Teams. Those essays sit beside this one. Use them when you need the neighbouring skill, not as a substitute for the check you still have to make.
What to do this week
Take one live role this week. Draft the JD from the work, not from a wish list. Cut one inflated must-have. Write interview questions from the duties, not from a puzzle. Keep the brief if HR did not have to rebuild the bar, and share it with the next hiring manager. Drop it if they still rank CVs in a chat. That is how AI for job descriptions stays a clerk beside a human hire.