A student can have ChatGPT write a polished, keyword-matched resume in under two minutes. That speed is exactly the problem — it skips a step. AI works fine when it refines something a student already understands about themselves; it goes wrong when it’s asked to generate that understanding from scratch.
65% of career centers report student AI use is unguided or unmonitored, according to a Jobscan webinar survey. Plus, a recent UC Berkeley study found that students are unclear on what constitutes acceptable use of AI. Without guidance, many students may assume that an AI-generated resume is perfectly acceptable. But this could lead to unfortunate failures at the interview stage.
The problem isn’t the AI — it’s the order in which your students use it. This isn’t a student problem — it’s a sequencing problem happening at scale, unsupervised. Advisors are the ones left to clean it up, or better yet, prevent it by coaching students on when and how to use AI tools for resume improvement.
The ATS isn’t the last line of defense — the interview is.
Aligning a student’s resume more closely with a job description helps make it past the ATS and into an interview. In a Jobscan survey, 41% of career center professionals said their biggest challenge is students submitting generic resumes that don’t match the job description. Matching a student’s unique experiences and capabilities with the terminology used by the employer is a good idea. But even if the resume is aligned with the position announcement, a ChatGPT resume failure could surface during the interview.
According to Jeremy Schifeling, a career development speaker, author, and former hiring manager, “even if [a ChatGPT resume] is focused on the specific job description, it’s going to be full of hallucinations.” The ATS system is just the first hurdle, but if the resume information isn’t accurate, a student won’t be able to answer interview questions about it.
Why AI Writes Resumes Students Can’t Defend
When a student feeds a job description and says, “optimize my resume,” into a ChatGPT prompt, AI is a probability machine filling in what a perfect resume should look like based on the position announcement. It doesn’t know what the student has actually done. It guesses. And when it guesses convincingly, the student stops questioning it.
Students are in the habit of using AI, and since artificial intelligence is trying to predict the optimal resume, it can hallucinate to achieve its objective. The aim is to make your career coaching students look like a good fit for a job, and AI just might make things up to help a student appear to be a better candidate for a particular position.
When students use ChatGPT resume writing, each resume optimized for a specific job can vary based on the AI’s output for the job requirements, meaning that a student could have multiple different versions of their resumes. According to Isaac Taylor, Jobscan’s Head of B2B, “They might not even know what resume they used to apply to the job.” This makes it complicated for students to do well in an interview.
Hallucinated Experience on ChatGPT Resumes
Hallucinating false information is one way AI-generated resumes can fail. AI adds skills or projects the student can’t defend. It analyzes a job description and predicts what the hiring manager would like to see on the resume. And it generates imaginary experience, skills, or projects that don’t come from the student’s information.
Fake credentials and fabricated work experience are obvious problems for applicants. Even if a student somehow makes it through an interview without stumbling because of questions about these incorrect resume claims, it would be an issue later if the employer hired them based on this false information. If nobody catches it, the person left holding the bag is the job applicant — the one who has to explain, in real time, a credential or project that was never really theirs.
ChatGPT Resumes Use Generic Language
Another problem is the sameness of resumes generated by ChatGPT. Artificial intelligence strips the original voice out, replacing specific stories with category-level phrases that nobody remembers. When writing resumes based on the most likely next word, AI genericizes language to the most common patterns and wordings. For a resume, this results in an “average,” unremarkable end product. If the resume doesn’t catch a hiring manager’s eye, it is likely to be overlooked.
Students won’t stand out with bland rephrasing of their resumes—they will look like hundreds of other applicants. “It just makes someone feel like a commodity. Like they’re an interchangeable cog in the machine with everyone else out there,” commented Schifeling. There are times in life where one might want to blend in, but when competing against an increasing number of candidates for a job, fitting in is the wrong strategy.
The Problem Isn’t AI — It’s the Order of Operations
When used at the right time, for the right tasks, artificial intelligence tools can be complete game-changers, making the complex process of tailoring a resume to specific job openings easier, smoother, and improving the “match” of the resume while retaining the student’s own voice, unique skills and experience, and intent. AI use isn’t the problem here, but when to use it is a more nuanced discussion that requires career center staff to guide students in avoiding the pitfalls of ChatGPT resume writing.
AI should come after self-knowledge, not before. The mistake is using AI to generate identity rather than to refine it.
A student who knows their transferable skills, who can articulate what they’ve actually done and why it matters for a specific role, can use AI to sharpen language and optimize for the ATS filters. A student who opens ChatGPT first and figures out who they are later is in trouble — not just at the ATS, but in every conversation that follows.
“People don’t understand themselves. They start writing. Now they’re using AI, so they’re even further down the process, and they’ve never actually accomplished the first step.” – Isaac Taylor, Head of B2B, Jobscan
Yet AI can help when the order of operations is right. A working paper reporting the results of an MIT study of 480,948 job seekers found that structured AI writing increased their probability of getting hired by 8%. Using AI as a tool to refine—not generate—resumes can give applicants this boost.
What the Advisor’s New Role Actually Looks Like
The career advisor’s role has shifted. They’re not just reviewing documents but also coaching the sequence before a student ever opens ChatGPT. Three things advisors can do now, before adding new tools into the mix:
- Make students map what they’ve actually done before they touch AI. Self-knowledge first, tool second.
- Ask the provenance question on anything AI-touched: “Did you write this, or did AI write this?” Not as a gotcha — as a coaching scaffold.
- Run a “what would you say” pass: For each AI-assisted bullet, ask the student to say out loud what they’d say if someone asked about it. This surfaces hallucinations early — while there’s still time to fix them, well before any interview.
These steps may seem very basic, but they help keep students from giving in to the temptation to use ChatGPT resume writing at the outset and then edit later. Instead, students start by gathering their own data, and then carefully vet anything that AI touches to make sure it is truthful and that they can support it in an interview situation. With the right order of steps, counselors can save a lot of work and make AI helpful in career centers rather than problematic.
“AI is really good for analyzing job descriptions, but once you go from analyzing to writing, that’s where you get into a lot of challenges.” – Jeremy Schifeling, a career development speaker, author, and former hiring manager
Worst Case: What happens when nobody catches it?
Here’s a scenario: a recent graduate of your university is applying for jobs. Their ChatGPT resume passes the ATS screening for their dream job at a top company. They get called in for an interview. This is looking very promising!
In the interview, the applicant is asked to describe a project on their resume in detail. But wait. This isn’t a real project, but one that appeared on their ChatGPT resume due to generative AI hallucination or exaggeration. The interviewee stumbles, doesn’t know what to say. The interview goes south, the opportunity slips away, and the student doesn’t know why—not because they lied, but because ChatGPT wrote it and they never held it as their own.
“Imagine your student making it through the ATS, making it to the final round, chatting with their future boss. They ask them about something that they’ve never done before because AI hallucinated it. Houston, we’ve got our problem.” – Jeremy Schifeling, a career development speaker, author, and former hiring manager
This isn’t just a problem for your career center; it’s happening throughout the country. Employer relations teams are increasingly questioning the value of entire career-readiness programs because of mass, generic AI-written job applications flooding their pipelines. To best prove your value to your institution, guide students to carefully vet any AI statements on their resumes and provide superior applications that don’t come off as AI slop. We’re at a touchy moment for artificial intelligence use in all industries, and teaching proper use of AI is one way your university’s career center can leverage the potential benefits of generative artificial intelligence as students enter the workforce.
The problem of generic and untrue resumes is avoidable, and it’s avoidable at the sequencing stage, weeks before it ever reaches an interview room. Career advisors are well-positioned to make this happen.
The Structural Fix: Start with the Student, Not the JD
Most AI tools start with the JD and work backward to the student. But that sequence invites untrue statements into resumes. Students can’t always discern what’s really true about themselves, and if AI makes them sound good, who are they to question? So you need to start with the resume achievements a student possesses before introducing agents that could put ideas into students’ and hiring managers’ heads that are unverifiable — because they aren’t real. The better sequence is to start with a clear picture of the student — skills, experience, stories — and then align the resume to the employer.
Make your career center a bulwark against ChatGPT resume exaggerations — all while using the best of what AI can do to optimize student resumes. Don’t let your students fall into a sea of sameness in the hiring world — help them stand out with resumes refined using AI, not generated by it. The career counselors in your center have a role to play in teaching graduating students lifelong lessons: use the best AI tools at the right time, but always verify.
