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Five years ago, recruiters didn’t spend much (if any) of their time questioning whether a resume was authentic. And candidates? Generally assumed there was a real person reviewing their application on the other side, too.
Sure, there were occasional cases of candidate fraud or maybe a hair too much fluff in a resume, but for the most part, authenticity wasn’t something either side had to actively think about. It was just assumed.
Today? That assumption is basically gone.
Candidates are questioning whether AI filtered them out before a recruiter ever saw their application. Recruiters are trying to determine how much of a polished resume or interview response reflects the actual candidate versus the tools they used to create it.
And somewhere in the middle of all the AI slop (pardon the jargon), authenticity and trust become a whole lot harder to find—and a whole lot more valuable because of it.
In this article, we’ll dive into where AI is cropping up on both sides of the interview table—using data from this year’s Job Seeker Nation to get a look at the reality of today’s hiring process—and what it really means to create an authentic candidate experience in the age of AI in hiring
Candidates Are Using AI to Compete in a Tougher Hiring Market
While it might seem like AI has officially entered the group chat for job seekers, the truth is a little more complicated. Only 28% of candidates say they’re actively using AI to assist with their job search overall—a slight decrease of three points year over year.
But for the candidates who are using it? AI has quickly become a sort of job search sidekick—showing up everywhere from resume reviews to interview prep and just about every step in between.
Here’s the TL; DR:
- 53% use AI to help find and match with relevant job opportunities
- 47% use it to write or review resumes
- 38% leverage AI to draft cover letters
- 36% use it to generate interview questions
- Another 36% use it to prep responses for skills assessments
- And 37% even receive suggested responses in real time during interviews
And when you take a step (or two) back and look at the state of hiring right now, a lot of those use cases start to make sense.
The market is tough. It’s competitive. It’s exhausting. And it’s increasingly crowded with fake applicants and AI-generated noise. So, for many real (and very qualified) job seekers, AI isn’t about trying to game the system. It’s about trying to keep up with it—and maybe make the process feel a little less overwhelming along the way.
Recruiters Are Using AI to Manage Growing Hiring Complexity
And when you flip the camera around to the other side of the interview table (or Zoom call), recruiters are feeling a lot of that same pressure, too.
Because while candidates (especially recent grads) are navigating one of the toughest job markets in recent history, recruiting teams are facing:
- More applications.
- More AI-generated resumes.
- More questions about who’s real and who isn’t.
- More pressure to move quickly.
- More candidate drop-off when the process becomes too complex.
Not to mention rising expectations to create a candidate experience that feels responsive, personal, and human.
That’s a lot for recruiting teams to carry.
Which is why more employers are turning to AI recruiting tools to help lighten some of the load.
According to Employ’s 2025 Recruiter Nation Report, teams are leaning into applications that enhance communication and content creation: job description recommendations (41%), communicating information (41%), and recruitment marketing content (39%).
This shift suggests recruiters may be moving away from using AI for high-stakes, strategic decision-making and toward applications that streamline administrative tasks and improve recruitment automation
And for the most part? Candidates understand why.
This year’s Job Seeker Nation report found that 63% of candidates are comfortable with AI being used throughout parts of the hiring process. Especially when it helps make hiring feel faster and less frustrating. Candidates are generally open to AI helping recommend jobs, review applications, answer questions, send updates, and assess skills or qualifications.
But there’s still a very clear line candidates don’t want employers to cross.
Because while people may be okay with AI helping support hiring, they don’t want hiring to feel fully automated.
In other words, the human moments still matter.
Candidates still want to feel like there’s an actual person reviewing their application, making thoughtful decisions, and guiding the process along the way.
AI Is Changing What “Authenticity” Looks Like in Hiring
With AI impacting so much of the hiring process, it’s hard not to ask: how is AI impacting authenticity?
But here’s the catch: authenticity doesn’t mean avoiding AI altogether. In a lot of cases, AI-powered recruiting can actually help hiring feel more human, more authentic, and more personal.
Think about it this way: if automation removes five hours of scheduling, admin work, and repetitive tasks from a recruiter’s week, that’s five more hours they can spend having thoughtful conversations and actually connecting with candidates.
So the real question isn’t “AI or authenticity?” It’s how hiring teams use AI without making the process feel cold, confusing, or robotic.
Building a Hiring Process that Feels Authentic
The hiring teams creating truly authentic hiring processes (and building the strongest candidate relationships because of it) tend to do a few things really well:
They’re upfront about where AI fits into hiring—and where it doesn’t.
Most candidates already assume AI is involved somewhere in the process. What people really want is clarity. In fact, 91% of candidates said transparency was at least somewhat important to them.
The teams creating stronger experiences explain where AI is helping, where humans are still making decisions, and what candidates can expect throughout the process. That transparency makes the experience feel a whole lot less like a black box.
They’re setting clear expectations around what candidates can use AI for.
Candidates are trying to figure out the new rules of hiring in real time. Is it OK to use AI to help write a resume? Prep for an interview? Draft follow-up emails? The strongest hiring teams aren’t leaving candidates guessing. They’re being upfront about where AI use is acceptable, where it crosses a line, and what they actually want to evaluate throughout the process. Clear expectations make the experience feel fairer—and a lot less confusing.
Check out this case study to see how DREAM Charter Schools put this idea into practice.
They’re building AI governance into the hiring process from the start.
That means establishing guardrails around how AI is used, regularly reviewing outcomes for consistency and fairness, and making sure hiring decisions remain explainable and accountable—not just automated.
They’re focusing less on “perfect resumes” and more on real capability.
AI has made it easier than ever for candidates to tailor resumes to perfectly match job descriptions. Which means “great on paper” doesn’t always tell the full story anymore. So instead, more and more teams are finding ways to validate skills earlier and create more opportunities for candidates to show how they think, communicate, and solve problems—not just how well they can optimize a resume.
They’re using AI to remove friction, not add more hoops to jump through.
Candidates are already navigating long applications, multiple interviews, and a competitive market. The best teams are using AI to make the process feel smoother—faster scheduling, easier communication, less repetitive admin work—not to create an exhausting obstacle course of extra steps and assessments.
They’re layering the right safeguards to protect the hiring process without pushing candidates away.
Fraud prevention matter more than ever right now. But there’s a difference between verification steps that help build trust…and ones that just add friction. And the best teams aren’t stacking endless checkpoints onto the hiring process. They’re taking more of a “Swiss cheese” approach—layering thoughtful safeguards that protect both the business and the candidate experience.
And most importantly, they’re keeping humans firmly in the loop.
Because trust comes from knowing there’s still a real person behind the process. Someone thoughtfully reviewing applications, applying human judgement, and catching the context and nuance algorithms can easily miss.
The Future of Hiring Isn’t More Automated—It’s More Human
AI is absolutely going to continue to reshape hiring—for candidates, recruiters, hiring managers, and everyone in between. That part isn’t really up for debate anymore.
But ironically, even as it starts to feel a little like AI is taking over the world—or at least the hiring process—the things people remember most are usually the moments that don’t feel automated.
A recruiter who followed up when they said they would.
An interviewer who made the conversation feel comfortable instead of transactional.
A spark of connection during a stressful process.
The small moments that make candidates feel like actual people. Not just a random number, in a random cell, on a random page of an Excel Spreadsheet.
Ready for more insights, intel, and info on what candidates really think of the hiring process today—and what it means for recruiters, hiring teams, and modern talent acquisition leaders? Download the 2026 Job Seeker Nation Report.
