AI vs. Resume Writing Service: Who Does It Better?

AI Can Create a ‘Pretty’ Resume – But It Lacks the Perspective and Discretion to Make It Truly Stand Out.

Artificial intelligence has quickly become part of the default toolkit for job seekers. Tools like ChatGPT and other large language models (Claude, Copilot, Gemini, etc., the list goes on) are now commonly used for resumes, cover letters, LinkedIn sections, among other application materials.

At Let’s Eat, Grandma, we do not view this shift as a threat. We see AI’s use in the job search as a reality that needs to be understood clearly. AI can be helpful in the job search, but it also has limits that are often ignored. The most effective resumes still rely on human judgment, lived experience, and strategic thinking that software cannot replace.

This distinction matters more than ever as job markets tighten and hiring managers become more discerning.

Why Job Seekers Are Turning to Large Language Models

The appeal of AI in the job search is a mystery. It provides a starting point when staring at a blank page feels overwhelming. It offers speed when time is limited.

As Matt Villanueva, Co-Founder and COO of Let’s Eat, Grandma, explains:

“At the end of the day, tools like ChatGPT and other AI platforms are large language models. In plain terms, they are very advanced versions of autocomplete, trained on massive amounts of publicly available information.”

That capability makes AI genuinely useful. It can help someone organize thoughts, rephrase language, or generate a rough draft that feels more polished than what they could have written alone in the same amount of time.

Where problems begin is not with AI itself, but with how it is used. Many job seekers treat AI output as finished work rather than a starting point.

The Echo Chamber Problem

One of the most common issues we see with AI-generated resumes is subtle. On the surface, everything looks fine. The language is clean. The formatting is acceptable. The content sounds professional.

However, when someone works exclusively with an AI tool, there is no external voice shaping the outcome. The model responds to prompts but it does not challenge assumptions or question relevance to the roles you’re actually applying to.

Matt describes it simply:

“When you use AI to build a resume from scratch, you and the model are in an echo chamber. Whatever you say, it will validate. It is your biggest ‘yes-person’.”

A resume, however, is not meant to be a reflection of how someone sees themselves. It is meant to reflect how a hiring manager will see them. It requires someone to say, “This feels impressive, but it is not what this role is actually hiring for,” or “This experience matters more than you think, and you are underplaying it.”

AI does not do that naturally…yet.

Buzzwords, Hallucinations, and Resume ‘Sameness’

Another pattern emerges quickly when reviewing AI-only resumes. They tend to sound familiar in a way that is hard to pinpoint at first. The language is dense and the phrasing feels lifted from somewhere else. The voice does not quite belong to the person whose name is at the top.

That familiarity comes from training data. Large language models draw from enormous volumes of existing resumes and job descriptions. When asked to generate new material, they often rely on the same phrasing that already dominates applicant pools.

Matt points to a more serious issue that often goes unnoticed:

“AI will sometimes describe things you have never done. That is hallucination, and it is a very real problem in resumes.”

Even when the content is technically accurate, it often feels generic. Recruiters are noticing. We regularly hear feedback from clients who were told directly that their resume “looked like it was written by ChatGPT,” or in effect could be describing any other job seeker with similar credentials. Not what you want your resume to look like.

When hundreds of applicants rely on the same systems that sameness becomes unavoidable. And in competitive searches that sameness can be costly.

Perspective Is the Advantage AI Cannot Replicate

There is a reason human resume writers still matter, even as AI becomes more advanced. That reason is perspective.

AI can analyze language patterns. It can predict what usually comes next. What it cannot do is reason from lived experience. It does not know what hiring managers dismiss immediately. It does not know which accomplishments signal readiness and which ones are noise.

Matt puts it this way:

“Perspective is something these models will never truly have. They cannot say, like we do, ‘based on all of the types of roles I’ve recruited and hired for, this is the type of information I need to pull from you and the direction I want your resume to take’.”

This gap becomes especially clear with career transitions. Nearly half of Let’s Eat, Grandma clients are shifting roles, industries, or seniority levels. AI struggles here because it does not understand intent. It cannot decide how aggressively to reposition someone or where to draw the line between aspiration and credibility (again, without making up things refer back to hallucinations).

Human experts make those calls every day. We know which bridges are believable and how to extrapolate that information and relay it intelligently on a 1-to-2 page document.

How a Human-Led Resume Process Actually Works

There is a misconception that resume services simply rewrite what clients already know how to say. In practice, the value lies in what gets uncovered, not what gets polished.

Matt explains the foundation of the process:

“Before we write anything, clients show us the roles they are targeting. We analyze those postings alongside thousands of similar ones we have seen before.”

From there, the work becomes conversational. Writers ask targeted questions designed to surface impact, responsibility, and context. Many clients discover that they have been underselling themselves for years, simply because no one asked the right follow-up.

This kind of extraction does not happen through prompts alone. It happens through dialogue. Through pauses. Through clarifying questions that change how someone understands their own experience.

That is not something AI is built to do on its own.

Comparing an AI Resume to a Let’s Eat, Grandma Resume

An AI-generated resume is often visually clean and grammatically sound. It can look impressive at first glance. However, the story feels fragmented, and the voicing feels repetitive and borrowed.

Matt summarizes the difference plainly:

“It will look good, but it will not sound like you, and it will not tell what we call a ‘cohesive storyline’ or sound humanly intelligent.”

A resume written with Let’s Eat, Grandma is built differently. It is structured around the intent of where you want to go. It connects past experience to future goals in a way that feels authentic or deliberate. It sounds human because it is human.

And at the end of the day, it is designed to get interviews.

AI Is a Tool, Not a Strategy

AI is not the enemy of the modern job search. It is a tool. Used thoughtfully, it can support good work.

As Matt notes:

“AI can help generate content, but careers are built on judgment, context, and human understanding.”

At Let’s Eat, Grandma, we believe the strongest outcomes happen when technology supports human expertise rather than replacing it. Resumes are not just documents. They are living representations of real people making real transitions at critical moments in their lives.

That work deserves more than probability-driven language.

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