5 Reasons NOT to use ChatGPT to write your resume

Considered by many to be the father of modern linguistics, Noam Chomsky is more qualified than most to speak on the exciting, terrifying rise of AI. And given his love of language and creativity, his stance on the tech is unsurprising; Noam considers LLMs not as aids to creativity, but instead plagiarism software, reasoning that “it doesn’t create anything, but copies existing works[…] modifying them enough to escape copyright laws”. 

But is a resume an exercise in creativity? Or, is it a paint-by-numbers affair — a box-ticking exercise where one robotically lists their achievements, using worn-out phrases like “I work well individually as well as in a team” or “I thrive in fast-paced environments”? It depends on how you view your career — as a story worth telling, or a list of recruiter-appeasing keywords.

But here’s the thing: hiring managers don’t run on algorithms, and how you communicate your suitability is just as important as your skills and experience. Sure, AI can help with grammar and formatting, but when it comes to capturing you, the limitations start to show. Outsource that process to a machine, and you’ll end up with a resume that’s technically correct, but personally hollow. 

Not convinced? Well, here are five solid reasons not to use ChatGPT (or any other LLM for that matter) to write your resume. 

Your resume should tell your story

Your resume is a personal retelling of your professional journey, and it needs to feel like something you — and only you— could have written. AI, as Noam points out, deals in the generic. It pulls from massive datasets, trained on millions of examples, and stitches them together into something passable. And yes, while there’s no denying ChatGPT’s latest model is a significant leap forward for the tech, an AI resume is unlikely to pass anything other than a cursory glance through by a hiring manager. SImply put, “passable” doesn’t land you interviews.

ChatGPT can’t capture how you solved a specific crisis at work, or how you forged relationships across departments to launch a project. Without explicitly being told, it doesn’t know the tone, subject, or nuance of your wins. It just knows what people usually say about similar roles. And while it might be able to dress it up with fancy phrasing, flowery language is no substitute for authenticity. 

You risk blending into the background

ChatGPT is prone to repeating itself. To the uninitiated, these linguistic cliches may be unidentifiable as the work of a machine, but to everyone else, they’re painfully obvious. 

LLMs tend to conflate “write in a professional tone” with “Please use phrases like ‘in today’s fast-paced digital world’ or ‘It’s not about [X], but about [Y]’”. You could rephrase or remove these giveaways in an edit, but it’s far more efficient to rely on originality from the start.

Sure, ChatGPT is a Godsend for summarizing snore-worthy meeting minutes or extracting the most pertinent data points from a report, but it can’t, by its very nature produce 100% original content. At best, its outputs are a mishmash of borrowed ideas — middle-of-the-road collages adapting other people’s stories into a finished product less than the sum of its parts. 

Mechanically listing your duties and responsibilities is a surefire way to elicit apathy from a prospective employer. When you use an AI tool, it doesn’t know what makes you you. It just knows what other people have written. So while your ChatGPT’d application might technically check all the boxes, it’s unlikely to spark curiosity or connection, and this is an important point, given the rise in international and remote roles driving job market saturation ever higher. In 2025, hundreds — sometimes thousands — of candidates may apply for a single role, and conformity won’t help you rise to the top of the pile. 

AI doesn’t understand strategic framing

Part of the art behind writing a great resume is about casting your past — warts and all — in the best light. It’s knowing when to highlight a role you only held for six months because it shows you thrived under pressure — and when to de-emphasize another because it no longer aligns with where you’re headed. AI doesn’t make those judgment calls well.

Emotional intelligence — the ability to read between the lines, to infer context, to anticipate what might resonate with a hiring manager — is still a human thing. Strategic framing is subtle: it’s in how you prioritize experience, how you quantify results, how you bridge gaps.

AI tools won’t tell you that the two-sentence bullet about your side project is more compelling than your entire last job. Or that the way you supported your team during restructuring shows leadership more than any title could. But a human can. Better yet, you can.

AI doesn’t care whether you get the job or not

You’ve worked hard, taken risks, and learned lessons. That emotional investment should come through in your resume — a sense of pride and momentum. But when ChatGPT writes your application, it doesn’t share in your stakes. It’s not rooting for you. It writes what’s expected. It plays it safe. It avoids quirks, glosses over non-traditional paths, and leans on conformity — not because that’s what works, but because that’s what it’s been fed. It’s a classic case of Garbage In, Garbage Out. 

Real people are messy, unique, interesting. Maybe your background isn’t typical. Maybe your best story is about switching careers at 35, or leading a team as the youngest member. But AI doesn’t champion your edge — it softens it. It turns vivid into beige, favouring inoffensive efficiency over weaving your narrative and fighting your corner. 

Hiring is a human process. People notice when something feels soulless. Let your resume reflect a person who gives a damn.

Your resume will lack confidence

There’s an underrated side effect of writing your own resume: confidence. Going through the process forces you to reflect. To dig into your accomplishments, analyze your impact, and articulate your strengths. That self-awareness isn’t just good for applications — it’s invaluable for interviews, networking, even negotiating offers.

When you outsource that process to AI, you might skip the hard part — but you also skip the growth. You don’t fully engage with your career story. You might even find yourself in interviews feeling like an imposter, unsure how to expand on bullet points you barely remember writing.

Writing a resume is a chance to reconnect with your “why.” To take stock. To celebrate. Don’t hand that over to a language model like it’s a chore. Sure, get feedback. Sure, use tools to help with typos. But the heart of the message? That’s something you need to craft. 

When AI can help

For all its flaws, AI isn’t useless in the job hunt. Like any tool, it depends on how you use it. Here are some ways ChatGPT and similar LLMs can improve your resume without robbing it of personality:

Improving clarity and grammar: If English isn’t your first language, or you simply want to polish your writing, AI is great at cleaning up clunky sentences and fixing typos. Think of it as a superpowered proofreader, not a ghostwriter.

Helping with brevity:It’s easy to ramble when writing about yourself. AI can help condense wordy bullets into concise, punchy lines — especially useful when applying to international roles. If you’re targeting a position hiring in Spain, for example, you’ll likely be competing against a much larger pool of global applicants. A clear, tightly written resume helps you stand out quickly in a crowded field.

Tailoring for keywords: If you’re applying to a role with a complex Applicant Tracking System (ATS), AI can help tweak your phrasing to match the job description more closely, improving your chances of passing the first automated scan.

Formatting inspiration: Whether you’re starting from scratch or modernizing an old resume, AI can provide layout ideas and section structures that make your resume easier to read.

While AI tools like ChatGPT can absolutely lend a hand with polish and presentation, they’re no substitute for handwritten originality. In a job market that’s more competitive — and more global — than ever, outsourcing your story to a machine is akin to shooting yourself in the foot. Our advice? Use AI to tighten the bolts, not to build the engine.