There’s a conversation happening in almost every career services office right now, and it goes something like this: a student submits a resume, it looks polished, the words sound confident, and then the hiring manager asks one question in an interview and the student can’t back up a single thing on the page.

That’s the AI resume problem. And it’s worth talking about honestly, because the tools exist, students are using them, and pretending otherwise doesn’t help anyone.

This isn’t a guide telling you to avoid AI. It’s a guide on how to use it in a way that actually serves you, where the final product still sounds like you and represents what you can genuinely do.

First, the bit nobody wants to hear

AI cannot write your resume for you. Not really.

It can help you structure it. It can clean up clunky phrasing. It can suggest stronger action verbs. But when you hand a tool like ChatGPT a rough summary of your background and ask it to “write a professional resume,” what comes back is a statistically averaged version of what a resume looks like, built from millions of examples. It’s generic by design.

The problem is that generic doesn’t get interviews. Recruiters read hundreds of applications. They notice when 3 different candidates have described their retail job using identical phrasing. They notice when a second-year student’s resume reads like a senior executive’s LinkedIn profile. And more importantly, the resume stops accurately representing you, which creates real problems the moment you’re actually in front of someone.

So the frame here is simple: AI is the editor, not the author. You bring the substance. It helps with the presentation.

A quick thing to check before you start

Some employers and graduate programs now state in their application instructions whether they’re okay with AI being used to prepare your materials. Most don’t mind AI helping you edit, but a few have specific rules, and a small number ask you not to use it at all for things like written assessments.

Read the instructions before you apply. If they say no AI on assessments, that means no AI, including the timed online tests that some companies send out as part of the process. Using it there isn’t editing, it’s misrepresenting your ability and it’s the kind of thing that unravels badly later.

What AI is actually good at (and what it’s not)

Where it genuinely helps:

Fixing your language, not replacing it

• If you’ve written something and it sounds clunky, pasting it in and asking, “Can you make this clearer?” is completely reasonable. You’re editing, not outsourcing.

Getting unstuck

• Sometimes you stare at a blank page for 20 minutes. Asking something like “What are some ways a marketing student might describe event coordination experience?” can give you a starting point that you can then rewrite in your own voice.

Pulling keywords out of a job ad

• You can paste a job description and ask it to list the skills the employer seems to be looking for. That’s a fast way to spot what your application should be addressing.

Checking your grammar and flow

• Tools like the built-in checker in Google Docs useful for catching things you miss when you’re reading your own work.

Where it falls short:

• AI doesn’t know you ran a sponsor event for 400 people, or that you reduced customer complaints in your part-time role by changing how returns were handled. You have to bring those details. If you don’t, the output will be vague.
• Most AI-generated resumes have a particular corporate tone. Phrases like ‘demonstrated a passion for’, ‘strong communication and interpersonal skills’ and ‘collaborated cross-functionally with stakeholders’ appear so often they’ve become noise.
• A good resume often requires you to be ruthless about what stays. A tool doesn’t know that your Year 11 work experience isn’t relevant to a graduate analyst role.

The integrity question

Using AI to help write your resume is generally not an integrity issue in the same way it would be with an essay or assignment. Resumes have always been written with help, whether from a career advisor, a parent who works in the industry, or a friend who’s good at writing. Getting assistance is normal.

Where it becomes a problem is when:

• The resume describes skills, experience, or achievements you don’t actually have.
• You rely on AI so heavily that you can’t speak to your own resume in an interview.
• You create AI-generated cover letters that make claims about your interests in a company that aren’t genuine, which usually shows during the recruitment process.

Be careful what you paste into these tools. Don’t feed an AI tool your home address, student ID, or anything sensitive, and don’t paste in confidential material from a workplace or internship (and even for non-confidential material, only use your workplace’s authorised AI platform). Strip out personal details before you ask for feedback. You can always add them back into the final document yourself.

The practical test for the whole thing is simple: could you talk confidently and specifically about every line on your resume in a 30-minute interview? If not, something needs to change, either the content or your preparation.

Tips that actually work

Write a rough draft yourself first

Before you tailor anything for a specific job, it helps to have one long, messy document that lists everything you’ve ever done. The raw material.

This is actually a good place to use AI, because most students badly undervalue their own experience. The group assignment where you coordinated 5 people’s schedules counts. The casual job where you trained the new starters counts. The society event you pulled together that 100 people showed up to counts.

You can prompt a tool with something like: ‘I’m putting together a master list of my experiences for graduate job applications in [your field]. Ask me questions about my jobs, my uni projects, my volunteering, and my involvement in clubs, one area at a time, and help me pull out specific things I achieved and any numbers attached to them.’

The back-and-forth tends to surface things you’d forgotten about. Once you’ve got the master list, every application becomes a matter of choosing the most relevant bits rather than starting from scratch.

Describe your experience in an impactful way

Here’s the most common problem with student resumes: they describe duties instead of results. ‘Responsible for managing the society’s social media’ tells an employer what you were assigned, not what happened because you were there.

A bullet point that works usually has three parts: a strong verb, what you did, and the result, with a number where you can manage one.

Compare these:

• Weak: Helped with social media for the student society.
• Stronger: Created Instagram content for a student society of 800+ members, growing engagement by around 40% over one semester.

Same experience. Completely different effect.

A note on the numbers: if you don’t have exact figures, a reasonable estimate is fine. ‘Around 15 students’ beats no number at all, and ‘4 events’ is stronger than ‘several events’. The only rule is that you have to be able to stand behind any figure you put down. If a recruiter asks how you got to 40%, you need an answer.

Don’t let every line start with ‘spearheaded’ and end with ‘resulting in 300% growth’. A resume where every bullet is maximally heroic reads as obviously machine-polished. Mix strong verbs with plain ones. Vary how the sentences are built. You want it to sound like a real person who happens to have done some good things, not a press release.

Tailoring and the robots that read your resume first

Sending the exact same resume to every job is the single most common mistake, and it costs you twice.

First, recruiters notice when your bullet points don’t map to what they actually asked for. Second, and less obviously, many larger employers run applications through software called an Applicant Tracking System (ATS) before a human reads anything. These systems scan for keywords and relevant terms from the job description. If your resume doesn’t contain them, you can be a strong candidate and still get filtered out automatically.

You don’t need to rewrite the whole document for every application. Usually adjusting 3 or 4 bullet points and tweaking your summary line is enough. Focus on the top requirements in the ad and make sure your resume speaks to them directly.

A few practical notes on getting past these systems:

• Use standard section headings like Experience, Education, and Skills. The software is looking for those exact words.
• If a skill has an acronym, include both forms, for example “Search Engine Optimisation (SEO),” so either gets matched.
• Avoid building your resume out of tables, text boxes, columns, or images. A lot of these systems can’t read them properly and your information simply disappears.

The summary line at the top

The first thing anyone reads is the few lines at the top of your resume. Most students either skip this or fill it with empty phrases like ‘motivated team player seeking a challenging opportunity’, which says nothing.

A good summary would be something like: ‘Information Technology student graduating in 2026, with experience building web applications during a summer internship where I cut a manual data-entry task by about a third. Looking for graduate developer roles using React and Python’.

You can ask AI to draft a version of this for you, but give it your real degree, your real strongest experience, and a real accomplishment, and tell it to avoid words like ‘passionate’ and ‘motivated’. Then rewrite whatever it gives you.

Don’t forget the interview

Here’s something worth planning for early: if your application works, you’ll end up in an interview talking about everything on that resume. So it makes sense to use AI to prepare for that too, not just to write the document.

You can paste a job description and ask it to generate likely interview questions for that role, then practise answering them out loud using the STAR technique (Situation, Task, Action, Result). You can also ask it to research an organisation or an industry so you walk in informed.

What doesn’t work is rehearsing word-for-word scripts, which come out sounding stiff and rehearsed, or preparing with invented examples instead of things that actually happened to you. And, obviously, AI has no place in the room during an actual interview. The goal is to build your confidence in talking about real experiences, not to perform a memorised speech.

Read it out loud

This sounds basic but it works, and it’s the single best test for everything above. If a sentence makes you stumble when you say it, it’ll make a reader stumble too. If a phrase doesn’t sound like something you’d actually say, it probably doesn’t belong there. Reading aloud also catches repeated words, claims that aren’t quite accurate, and the kind of robotic phrasing that creeps in when you’ve leaned on a tool too hard.

Conclusion

AI tools are part of the landscape now and there’s no practical reason to avoid them entirely. The students who use them well treat them like any other resource: as something that supports their thinking, not something that replaces it.

The resume that gets you hired is the one that’s accurate, specific, clearly written, and sounds like a real person. AI can help you get there. It just can’t get there for you.

 

Featured image courtesy of Unsplash