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Too Many Resumes, Not Enough Humans: AI Slop, Hiring, and Disability Inclusion
19 Plays1 month ago
Recruiters and hiring managers are drowning in applications, but disabled job seekers are still being overlooked.
In this episode of Disability@Work, host Ashley Sims breaks down the growing problem of AI “slop” in recruiting: mass‑produced resumes, keyword‑stuffed applications, and automated screening tools that prioritize volume over viability. While AI is often seen as a solution to hiring overload, the reality is more complicated, especially for candidates with disabilities.
Ashley explores how automation can unintentionally amplify bias, flatten lived experience, and filter out qualified candidates who do not follow traditional career paths. She also offers a more practical question for employers: Is there a believable path to success? Instead of searching for perfect matches, inclusive hiring requires judgment, context, and human decision‑making.
This episode digs into what helps recruiters move through high‑volume pipelines: why niche job boards and community‑based sourcing matter, where AI can support good hiring decisions, and how employers can refocus on real people instead of resume noise.
Show Notes:
In this episode, we cover:
- Why recruiters are seeing an explosion of applications
- How automated screening tools can unintentionally exclude disabled candidates
- The difference between “matching criteria” and identifying a believable path to success
- Why traditional resumes fail to capture disability‑related career context
- When AI helps—and when it makes hiring worse
- How niche job boards and targeted sourcing reduce noise and improve outcomes
About the show:
Disability@Work is a Disability Solutions podcast about inclusion, accessibility, and equity in the workplace. Hosted by Ashley Sims, each episode offers practical insight for employers, HR/TA leaders, and advocates working to build more inclusive organizations. Find out more at DisabilityTalent.org.
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Transcript
Introduction to Hiring Challenges
00:00:07
Speaker
Welcome back to Disability at Work, the podcast where we talk honestly about what's happening in hiring, especially when the systems we rely on are no longer working the way we hoped they would.
00:00:20
Speaker
I'm your host, Ashley Sims, and today we're talking about something nearly every recruiter is dealing with right now. AI slop.
AI's Role in Job Applications
00:00:28
Speaker
Here's what it looks like in practice.
00:00:30
Speaker
You post a job, and within hours the applications start flooding in. You're inundated with hundreds, sometimes thousands of applications. Every resume looks great. Every candidate checks every box.
00:00:45
Speaker
The language is polished, the experience lines up perfectly, and that's because it's not just recruiters using AI anymore. Job seekers are using it too, to write resumes, to draft cover letters, to prep for interviews, and sometimes even to ace interviews.
00:01:02
Speaker
So we end up in this strange place where everything looks right on paper, but it's harder than ever to tell who's actually behind the applications. That leads to the real question for employers.
00:01:17
Speaker
How do we find real qualified people when everyone looks exactly the same?
The Competitive Job Market and AI's True Purpose
00:01:22
Speaker
Before we talk solutions, it's important to name something clearly.
00:01:27
Speaker
Most candidates didn't start using AI because they want to cheat the system. They start using it because the system already feels stacked against them. The job market sucks right now, and landing an interview is harder than ever.
00:01:42
Speaker
That means applying for more and more jobs, longer stretches of unemployment, and just an overall more competitive environment. For disabled and neurodivergent job seekers, AI is often doing very specific work that helps organize thoughts,
00:02:01
Speaker
It does smooth language and it fills in gaps that employers already judge pretty harshly. And maybe it helps break down some of the application barriers. So when recruiters say, all these resumes look the same, candidates can say, that's the only way to get past the filters.
00:02:21
Speaker
That's the only way to get in the front door. AI didn't break recruiting. It just made the cracks impossible to ignore. Recruiters aren't overwhelmed because candidates are unqualified.
00:02:35
Speaker
They're overwhelmed because they're buried in volume. When hundreds of thousands of resumes all match the job description, resumes stop being useful as a decision-making tool. At that point, you're not evaluating people, you're managing traffic.
Overcoming Application Overload
00:02:52
Speaker
And when hiring turns into traffic control, strong candidates disappear. So let me give you a real-world scenario based on conversations we're having on the daily.
00:03:05
Speaker
an in-house recruiter at a mid-sized company... Hiring for a customer support role. Nothing exotic, fully remote, solid pay. They post the role on two large job boards.
00:03:18
Speaker
Within three days, they have over 1,200 applications. Almost all of the resumes are technically qualified. Many of them use the same keyword phrases.
00:03:29
Speaker
And a surprising number even had identical summary sentences. Hmm. The recruiter knows that they can't realistically review them all.
00:03:40
Speaker
So what if instead they refine the job description, highlighting what the job really involves and cut out all of the corporate mumbo jumbo. They pause the mass postings and repost the role in two places.
00:03:56
Speaker
a niche job board focused on disability-inclusive hiring, and a small professional community where current employees share the role directly. This time, they received 60 applications.
00:04:10
Speaker
Not perfect, not all polished, but here's the change. With a more direct pool of talent, recruiters have the opportunity to really assess the candidates. They're able to do more screening and reference calls, more human-to-human interactions.
00:04:26
Speaker
And candidates have the opportunity to explain why they want the role. They talk about how they handle real customer issues, how their lived experiences translate to the position.
00:04:38
Speaker
That equals more meaningful human interactions and better hiring signals. So let's get practical.
The Case for Targeted Recruiting
00:04:47
Speaker
Not how do we stop AI, because at this point that train has definitely left the station.
00:04:53
Speaker
The real question is how recruiters cut through the noise and get back to people. One of the most effective moves right now is also one of the hardest.
00:05:03
Speaker
Stop trying to attract everyone. Mass job boards combined with AI encourage spray and pray applications that lead to volume, but not necessarily outcomes.
00:05:17
Speaker
Recruiters should ask themselves, do we need a thousand applicants or do we need 40 people who actually want this role? Niche job sites, referral networks and community based sourcing naturally slow things down.
Beyond the Resume: Evaluating True Potential
00:05:31
Speaker
And that should be the point. Resumes were never a perfect signal and AI has made that impossible to ignore. Use resumes to confirm baseline requirements.
00:05:43
Speaker
Do not use them as a final filter. We've been talking about this for forever because resumes don't tell the whole story of who someone is or what they're capable of.
00:05:55
Speaker
Right now, resumes mostly show who understands formatting and keywords and who can type a prompt into AI. They don't reliably show who can succeed.
00:06:06
Speaker
Lived experience can do that. Critical thinking and problem-solving skills can do that. AI pushes candidates towards flawless answers, and recruiters do need to push back.
00:06:18
Speaker
Instead of asking whether someone matches every requirement on paper, recruiters should be asking different questions. Is there a believable path for this person to succeed in this role?
00:06:30
Speaker
Can they explain the decisions they've made and why they've made them? Do they show learning, judgment, and the ability to adapt when things don't go as planned? When every resume looks perfect, hiring systems tend to fall back on what feels familiar.
00:06:49
Speaker
Traditional career paths, recognizable company names, communication styles that fit the norm.
Inclusive Hiring through Design, Not Just Tech
00:06:57
Speaker
That's how disabled talent gets filtered out systemically.
00:07:01
Speaker
slop doesn't just overwhelm recruiters. It quietly rewards sameness. If inclusion matters in an AI-driven hiring process, the answer isn't better technology alone.
00:07:13
Speaker
It's better design choices that value real signal over polished sameness. AI is unfortunately here to stay. So is candidate frustration.
00:07:25
Speaker
Recruiters still have leverage. Not by adding more automation, but by being intentional about volume, sourcing, and early signals. If you're overwhelmed by resumes, the answer probably isn't another filter or more tech.
00:07:41
Speaker
It's a better front door. And if you want help connecting with your real, qualified talent, that's exactly what we do here at Disability Solutions. You can learn more disabilitytalent.org.
00:07:54
Speaker
Thanks for listening to Disability at Work today. Until next time, let's keep making hiring more human.