AI Recruiting Tools Filter Out Qualified Candidates and Slow Hiring
16 posts across 11 communities in the last 60 days; 38% from r/recruitinghell.
“The domain filter isn't recruiters being lazy. When a req gets 300 applications in four days it's the only cut that correlates with anything you can check in thirty seconds, and the people who've shipped in the space do ramp faster. I don't love it either, I've argued to open…”
“To demonstrate a problem that accuracy-only model validation often misses, here is a breakdown of a synthetic hiring-screening pipeline where a model cheats the metric, and how to physically intercept the failure at runtime. A logistic regression model was trained using three…”
“I'm part of a team working on a university recruitment system. We're currently in the early architecture/feasibility stage, and we're doing the requirements analysis and system design ourselves. I'd like to get some feedback from people who have experience with enterprise…”
Recruiters are experiencing unexpected challenges with AI-powered hiring systems. While intended to streamline the process, these tools often increase workload, slow down hiring, filter out qualified candidates, and exacerbate bias, requiring a re-evaluation of current strategies.
SOURCES (60)
“The hiring manager could say Im looking for these 15 and have his/her own criteria for which ones are more important than others (expert vs proficient vs familiar, for example) but the recruiter does not and often assumes what is or latches on to what…”
“What I want to ask recruiters is does workday actually hire works that perform better? Like is this selection process and resume screening actually help businesses find more productive employees? Or has it just separated the ability to judge applicants from the ability to judge performance after hiring? [re: If you are applying for a job in 2026 and link takes you to the "Workday" portal.You know you will never make it]”
“Companies are increasingly using AI and automated screening systems to decide which applicants ever get seen by a human. But how much do the companies using these systems actually understand about how they make those decisions? If a good candidate can be rejected because of keywords, years of experience, formatting or some other signal the system doesn't like, aren't companies potentially screening out some of the people they should be interviewing? And on the other side, if applicants l”
“Depends on the position. But AI is the first thing we test all dev positions now. It has also changed the way we view candidates as well. We are much more likely to take someone that isn’t as technically as Skilled at the white board, if they have a good personality, over someone who is technically much better. While I can’t speak for other companies, I do expect this to be the standard going forward. But for junior position specifically - we only care about how their ai skills are and don’t eve”
“The domain filter isn't recruiters being lazy. When a req gets 300 applications in four days it's the only cut that correlates with anything you can check in thirty seconds, and the people who've shipped in the space do ramp faster. I don't love it either, I've argued to open two of ours up and lost both times. 4 out of 70 with two second rounds is a working funnel in this market, not a broken one. [re: Got a new role - Keeping it quiet]”
“the goal of this is to make your Indx accessible to recruiters and hiring managers in the tools they already work in, and eventually candidate search will have REAL information on someone's career to query other than tenure, company, job title etc. [re: Job Hunting? Beta testers wanted for shareable queryable version of your career.]”
“Is this actually true? The rapid rise of artificial-intelligence tools has created a trust gap in the hiring process, as both job applicants and hiring managers try to figure out if the person on the other end is real. About 33% of people surveyed by Norton said they had encountered a fake recruiter or fake job posting. Last year, a survey by Gartner Inc. found 6% of job candidates had posed as someone else or had someone else pose as them during an interview. Gartner stressed that in the coming”
“We all know HR and recruiters are using AI to filter applicants. It's literally HR and recruiters' jobs to phone screen and pass along applicanta to the next stage, and they've tried automating that with video recorded interviews. The only time consuming complication is scheduling around the two or three individuals who should have a say in a candidate. The CTO, CEO, VP of Accounting are completely unnecessary in an interview unless it's a mid or senior level role, yet so many ti”
“The recruitment process has always been flawed. Yet here we are trying to second guess what they are actually looking for that goes beyond the CV. But the challenge is unless you use key words in your cv from the JD, the chances of you getting an interview are abysmal Essentially what they are not telling you is people like me having applied to over 3000+ jobs and getting only 55 interviews face - recruiters and talent acquisition leads who are nothing beyond glorified interns and admin assistan”
“At times, HID may use AI-assisted technology to help our Talent Acquisition team review applications by identifying job-related qualifications, skills, and experience in résumés and comparing them with the requirements of the role. The technology supports recruiter review but does not make hiring decisions. A member of our Talent Acquisition team reviews each application before any selection decision is made. Information processed by the tool is deleted once the recruiter's review is complet”
“Odd contrast worth flagging next to the fresher hiring crunch data going around lately. AI-linked hiring in India is projected to grow roughly 32% this year to nearly 3.8 lakh roles, and around 73% of Indian employers said they planned to hire freshers specifically into AI-adjacent roles in the first half of this year. Fresher salary bands for AI/ML roles are landing somewhere around 7.7 to 11.9 LPA on average, well above general IT fresher averages. The catch: this demand is skills-first, not c”
“Most engineers now use ChatGPT, Claude, Copilot or Cursor as part of their actual work. Yet most technical assessments still treat AI use as cheating. We built Swiftcruit around a different idea. Candidates can use AI during an assessment, and instead of simply tracking whether they used it, we evaluate how they worked with it . Did they give the right context? Did they understand what the AI generated? Did they catch mistakes? Could they debug and improve the solution? Did they validate the out”
“I was thinking now with all these Ai Systems that let people mass apply to thousands of random jobs which is causing a ton of a applications for one job… I really could see employers start requiring in person resumes again to combat this. And making us do in person interviews so you can’t use AI submitted by /u/GlitteringGap3751 [link] [comments]”
“As automated tools increasingly handle the routine grunt work historically assigned to junior hires, there is growing concern about the pipeline for mid-to-senior level talent. How can early-career professionals build practical domain expertise when traditional entry-level learning pathways are being phased out? submitted by /u/developer_23 [link] [comments]”
“To demonstrate a problem that accuracy-only model validation often misses, here is a breakdown of a synthetic hiring-screening pipeline where a model cheats the metric, and how to physically intercept the failure at runtime. A logistic regression model was trained using three features: technical assessment score, years of experience, and a synthetic postcode indicator. The model achieved 94.2% validation accuracy. Without feature-level analysis, it could easily pass an accuracy-only deployment g”
“It appears that recruitment and HR are dead end careers with AI taking over. What do you recommend should be the transition path for someone who has about 10 years of recruitment and HR experience in healthcare and has been recently let go? Which career would you recommend next? submitted by /u/LifeChampionship2250 [link] [comments]”
“I'm part of a team working on a university recruitment system. We're currently in the early architecture/feasibility stage, and we're doing the requirements analysis and system design ourselves. I'd like to get some feedback from people who have experience with enterprise search, RAG, resume/CV processing, recruitment software, or ERP integrations . The problem The existing university web application/ERP allows candidates to apply for recruitment positions and upload their resume”
“The idea is not “AI should recruit for you.” It’s more: AI can help a recruiter do the time-consuming parts of sourcing with better structure, if the recruiter gives it the right context. The part I keep coming back to is the intake call. In my experience, that is still the highest-leverage part of a search. A job description is useful, but it is usually incomplete. The real profile comes from the hiring manager conversation, the existing team, what is missing, what the business will need 6-12 m”
“Researching Gender Bias in AI-Driven Hiring - and I'd love your input: I am conducting an expert practitioner survey exploring how AI and machine learning tools used in tech hiring can produce gender-biased outcomes and what governance practices actually help mitigate them. This is a part of my UCL postgraduate project. The goal: To build an evidence-based picture of how AI hiring systems are governed in practice - not just how they're supposed to work on paper. If you work (or knows som”
“AI summary in case some havent seen it. The Stanford study was a landmark research project, not a controlled experiment with test applicants, but an analysis of real-world hiring data. Here are some explainers and reactions from creators: The study, titled "Algorithmic Monocultures in Hiring," was conducted by researchers from Stanford University, Chapman University, and Northeastern University. It analyzed over 4 million job applications from 3.4 million applicants to 156 employers ac”
“I keep seeing linked in posts about how AI has revolutionized recruitment, made it faster, cheaper, and more efficient. Companies are able to scan thousands of resumes in seconds, rank applicants, and save hours of time. Cool. So why does applying for jobs feel like throwing your resume into a black hole? I see recruiters also constantly talk about talent shortages and how the younger generations “don’t want to work” but graduates and job seekers are spending literal full-time-job hours submitti”
“A lot of people on IG are misquoting and misrepresenting the study. The study analyzed companies who use VENDORS like HireVue and Pymetrics to help with pre screening and they use AI and historical candidate data to help with. That integrates with ATSs, sure, but that doesn’t mean that suddenly the reason you’re getting rejected is bc of Workday as a whole. And it’s annoying bc it’s burying the actual real concern about the impact of AI and hiring behind sweeping claims that aren’t quite accurat”
“AI has worked its way into a lot of hiring workflows. It seems many HR teams are relying on it for resume screening, candidate ranking, interview scheduling, and even initial outreach.Curious where this community lands. Are you using AI tools for any part of your hiring process right now? submitted by /u/No-Emu-6641 [link] [comments]”
“This recently published study from Stanford proves that many companies utilize artificial intelligence to score each resume and assign that score for up to 330 days. This means that even qualified applicants who improve their resume over a year or less still have the same score, indicating that competent employees may get overlooked and will never see a human recruiter. Based on everything happening in the CS job market, this makes a lot of sense. There is also”
“Hi everyone, I am a student at the University of Graz, currently working on a research project focused on the intersection of automated screening tools and human expertise in recruitment. We’ve all heard the pitch that AI makes hiring faster, but my study looks at the messy reality: **How do recruiters react when an AI tool confidently flags a strong candidate for rejection? Who is to blame if the algorithm gets it wrong?** If you have a few minutes to spare between interviews or CV screening, I”