Hiring in the Age of the AI Resume: Why Human Judgment Matters More Than Ever

We'll say this up front: we're believers in AI. We use it every day, and it's made parts of our work faster and sharper than they've ever been. We’re not here to warn you about the technology (because it’s awesome!), but we do have opinions about where it belongs in the hiring process. 

AI has undeniably reshaped hiring, and some companies have gotten way too excited about it and handed their whole process over to the tool. That’s not the move. There are obviously parts of hiring a machine can improve, and lots of others where the human touch is paramount. 

WHERE AI BELONGS IN THE HIRING FUNNEL

We think about AI in the hiring process a lot like we think about a marketing funnel. At the top, AI is genuinely powerful. It can help us draft job descriptions, shape outreach messaging, and source candidates in ways that are a lot more streamlined than they used to be.

So far, sourcing is where AI has supported us most. Say a client wants someone who's worked through a specific growth stage, maybe a marketer who was at a company as it went from Series B to Series C. In the past, finding that person meant manually researching which companies raised which rounds in which years, then cross-referencing who worked for those companies in a specific role within that time frame. It meant hours of detective work. AI helps us compress that process into a few minutes. 

But as you move down the funnel, from reviewing resumes to screening candidates to deciding who advances and preparing them for a final interview, the value of AI increasingly disappears. 

THE PROBLEM WITH AI-WRITTEN RESUMES

Since it flooded the scene, AI has often meant hiring managers receive enormous numbers of resumes for every open role.

We now routinely see 200-plus resumes in response to senior-level openings, and it's not unusual to cross a thousand. The vast majority, often 95% or more, aren't a fit in any meaningful way, whether it's location, experience level, or relevance to the actual role. That's a mountain of review sitting in someone's inbox for every job posted.

Often the resumes that are a match still start to blur together. When everyone uses the same tools to write them, everyone ends up sounding the same. "Drove measurable growth." "Led cross-functional initiatives." These phrases now appear on resume after resume, and they tell you almost nothing. 

To be clear, we think candidates can use AI to sharpen a resume for ideas, structure, and suggestions. When it writes the whole thing, though, it becomes indistinguishable from everyone else’s.

It's also why, no matter how high the volume climbs, we review every resume that comes in by hand. We don’t do automated rejections. Would it be quicker and easier to allow AI to filter the pile? Sure, but that's exactly how strong candidates are screened out by a machine. In a market that’s also become increasingly frustrating for candidates, a real person reading every application helps us build trust with applicants.

AI CAN'T "READ THE ROOM"

The Vibrant Talent Group has always believed in recruiting on a feeling. For us, this whole process is about human relationships.

AI can transcribe an interview and summarize the substance of it well. What it can't do is sit across from a candidate and register how they said it. We walk out of interviews knowing a candidate was unusually nervous, or came across as arrogant, or lit up in a way that told us exactly which team they'd thrive on. None of that shows up in a transcript.

If a recruiter’s only function was to assess whether a candidate could do the job, AI would put us out of work pretty quickly. But it’s never been about that for us. We’re relationship builders who are excellent at sensing a candidate’s fit for the specific team, the specific culture, and the specific hiring manager. 

WHEN COMPANIES LEAN ON AI TOO HARD

We've seen companies try to push AI past its true utility (we get it, it’s tempting). A team invests in an AI resume-reviewer, expecting to feed in a thousand applicants and have the best matches surfaced. Or they assume a sourcing tool, or even a general assistant, will be able to surface top candidates.

But it rarely works that way. These tools will give you something back, but there’s no way of knowing who you may have missed out on as a result. Especially for marketing, creative, and go-to-market roles, where fit is a huge factor, a keyword-and-pattern match often misses the point.

AI can be super useful, even in the hiring process. We’re certainly not denying that. But a skilled recruiter holds more context: why the role is open, what the team needs most, and the balance of skill, experience, and culture fit. Part of our job is surfacing the candidate who doesn't match 100% of the wish list on paper but is exactly right in the ways that matter more. A tool optimizing algorithmic criteria will miss that.

THE BOTTOM LINE

AI has earned a real place in hiring, and we wouldn't work without it at this point. It handles the research and the busywork so we can spend our time building relationships. AI is great. You just can’t expect it to do the one thing it fundamentally can't: understand and connect people. In a market flooded with a whole bunch of the same, the human touch is more valuable than ever.