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A polished resume used to mean something.
Now it mostly means someone had access to a prompt.
Resumes are getting smoother, smarter, and more keyword-friendly and somehow also more forgettable. Recruiters are seeing the same phrases, the same structure, the same “results-driven professional” energy over and over again. The formatting looks great. The substance? That is where things start wobbling.
Indeed says resumes and cover letters can no longer be treated as a fully reliable “source of truth” when evaluating candidates in an AI-heavy job market. At the same time, LinkedIn’s 2025 recruiting research shows that 93% of talent acquisition professionals believe accurately assessing skills is crucial to improving quality of hire, and companies doing the most skills-based searches are 12% more likely to make a quality hire.
So yes, AI-written resumes are everywhere. The real question is what hiring teams do next.
The problem is not tailoring. It is over-tailoring.
Let’s be fair: tailoring a resume to the job is not a deal breaker. It is often good practice.
The issue starts when the candidate copies so much of the job description or relies so heavily on AI-generated phrasing that their real experience disappears behind a wall of keywords. What you get is a document that sounds relevant without proving much. Plenty of alignment. Very little evidence.
That is where recruiters start seeing the gap between good writing and real capability.
And the gap gets wider when candidates do not proofread what AI gives them. Hallucinated tools, inflated achievements, vague claims, invented responsibilities, these things do show up. Greenhouse’s 2025 workforce report found that 32% of job seekers say they have claimed AI skills they do not actually have, and 28% admit to using AI to generate fake work samples.
That is not “using AI well.” That is just creating extra work for everyone.
Why skills-based screening matters more now
This is one reason companies are leaning harder into skills-based hiring.
When resumes start to look suspiciously similar, hiring teams need other ways to judge fit. Not just where someone worked. Not just whether they can mirror the language of the posting. What matters is whether they can explain their work, show how they think, and demonstrate the skills the role actually needs.
LinkedIn’s 2025 research makes the same point from the employer side: skills-based hiring is gaining momentum because employers are trying to close real skills gaps, improve quality of hire, and move beyond over-relying on degrees and job history alone.
That shift is not about lowering standards. It is about getting more specific.
So how do you separate good writing from real capability?
If a resume is full of generic keywords but says nothing meaningful about scope, outcomes, tools, project details, decision-making, or measurable impact, that is a red flag. It may still belong to a capable candidate. But it has not earned blind trust.
A better screening process looks for proof in layers.
1. Screen for evidence, not just language
Instead of asking, “Does this resume sound right?” ask, “What is this person actually claiming?”
Look for concrete indicators:
- what problem they solved
- what tools or technology stack they used
- what kind of environment they worked in
- what part of the work they personally owned
The more specific the claim, the easier it is to test later.
2. Use structured screening calls
This matters a lot.
If every recruiter screens differently, polished candidates can slip through simply because the conversation stayed too general. Structured screening creates consistency. It also makes it easier to spot when a resume sounds stronger than the candidate does.
In practice, that means asking every serious candidate a similar set of questions tied to the role:
Walk me through the project you mentioned.
What was your exact role?
What tools did you use?
What was difficult about it?
What would your manager say you owned from start to finish?
Good candidates do not need perfect wording here. They need believable detail.
3. Add one skills check before final interviews
This does not have to be dramatic.
For some roles, it is a short case. For others, it is a work sample, a technical exercise, or a brief scenario discussion. The point is not to create homework for the sake of it. The point is to test whether the candidate can apply what the resume claims.
LinkedIn’s recruiting guidance also points toward using assessments, tasks, and job simulations to evaluate what candidates can actually do, not just how well they present on paper.
That is how you stop hiring based on résumé fluency alone.
How to keep screening consistent
This is where many teams struggle. They know resumes are getting harder to trust, but they still screen in a loose, instinctive way.
That does not scale.
A more consistent process usually comes down to four things. That’s it.
First, define success before you review resumes.
Know which skills are essential, which are trainable, and which examples would count as real proof.
Second, use the same screening criteria across candidates.
Not the exact same conversation word for word, but the same evaluation lens.
Third, score for evidence.
Did the candidate explain their work clearly? Did they speak in detail? Did they show impact, ownership, and practical understanding?
Fourth, verify where needed.
Reference checks, certifications, degrees, work samples, and portfolio claims matter more when the top of the funnel is flooded with polished sameness. Hunt Scanlon’s summary of 180 Engineering’s recommendations includes confirming certifications, verifying degrees, checking references, flagging overly similar applications, and reviewing writing samples where relevant.
Final thought
The resume is not dead. But it is no longer enough.
In a market full of AI-assisted applications, the teams that hire well will be the ones that screen beyond polish. They will look for specifics. They will ask better questions. They will test for skills, not just writing quality. And they will keep the process consistent enough that real talent has a fair chance to stand out.
That is the goal.
Not to punish candidates for using AI. Just to make sure the person behind the resume can do the work.
At BITS Recruiting, this is exactly why we rely on human screening, not just polished paperwork. Our recruiters review resumes closely and look beyond keyword matching to understand what a candidate has actually done. If a resume is packed with generic language but says little about impact, project work, tools, or ownership, that is something we pay attention to. A well-written resume can open the door, but real screening still comes down to human judgment, structured conversations, and whether the candidate can clearly speak to their own experience.
If you want support screening beyond surface-level resumes and identifying candidates with genuine skills, BITS Recruiting can help you build a hiring process that is thoughtful, consistent, and human-led.
