I am the founder of Remote Jobs Feed. We’ve seen HR tech platforms make irrelevant matches due to simple keyword overlap, for example repeatedly suggesting software engineering roles to a marketing professional because both profiles mention “communication.” This shows that AI matching still struggles with context across roles, creating noise in high-volume searches.
Today, companies use ATS technology and AI assistance as filters in the recruitment process, rather than using them as sole decision-makers on relevance. This is a call for usability based on skill alignment, updated experience, and overall impact, rather than just keyword-heavy resumes. Candidates will be expected to prove their skills through portfolio development, testing, or work samples in interviews by 2025-2026, while generic resumes facilitated by AI writing assistance will go out of favor. In this context, the high volume of recruitment drives recruitment professionals to use more organized interviews to make the selection process personalized and not just rely on the total number of resumes received by the organization for any particular job posting. Yet another misconception in this regard is a resume can get a person jobs; in realistic recruitment process, the person's skills, how he performed during an interview, his communication skills, and his past experience suitable for achieving the goal of a business are some essential parameters to do the selection of a person. George Fironov, Co-Founder and CEO of Talmatic
LINKEDIN: https://www.linkedin.com/in/kovasys/ I've been deep in the trenches placing IT pros across Canada and US since 2005, and I wanted to share some straight-talk insights on what's really happening with AI-powered hiring in 2025-2026. ATS and AI are there to reduce risk, not to "discover hidden gems." Honestly, in most enterprise and public-sector IT roles I work on, the tools are built to filter people out, not to find that perfect underrated candidate. We set hard requirements—location, specific years of experience, must-have tech stacks, regulated sector exposure—and if your resume misses even one, the system often auto-rejects you. AI just makes that rejection happen faster and more consistently. I recently ran a senior IT search that pulled in around 100 applications in less than a week. After the ATS and my own review, only about 12% even cleared the mandatory requirements on paper. In the end, I sent just 6 candidates forward for interviews: that's under 6%. Five of those six had direct experience in very similar environments (public sector / large regulated North American organizations). Barely anyone got through purely on clever resume tweaks if their actual background didn't line up closely. Easy online applications mean postings get swamped. Because of that, I (and most recruiters I know) end up prioritizing candidates I've shortlisted before, solid referrals, or folks from our vetted talent pools. A surprisingly big chunk of the interviews I set up come from people I've already evaluated in past searches—especially for high-stakes or regulated roles where I can't take chances. Once you're past the initial screen, I look way beyond the resume. At that point, I'm digging into your career story: How stable have you been? Who have you worked for (and are those companies respected)? Have you operated in regulated or complex environments? Have you been trusted with mission-critical systems? Where you've worked and the context you've handled often matters way more to me than how perfectly your resume is formatted or keyword-loaded. In today's IT market, gaming the ATS with keywords alone rarely works. What moves the needle is having genuine, closely matching experience, a stable and credible career trajectory, and (whenever possible) a referral or prior connection. Focus on building that real fit, and you'll stand out way more than the hundreds of optimized-but-mismatched applications I see every day.
I run an IT job board at techjobfinder. Please reference a backlink to this site if you end up featuring my comments. How ATS and AI screen resumes today - One might think they are super sophisticated, but under the hood, they are either using LLMs or vector data to compare similarities against a job description. Obviously it can be enhanced further with other techniques, but at the core, it's just similarity (which is based on keywords as well). Most are actually fairly accurate, but can easily miss great candidates, who might have not keyword stuffed their resumes but are actually a lot better candidates. What actually gets candidates interviews in 2025-2026 - Networking, networking and networking. That simple. It depends on the industry, but for competitive, high-paying roles, gone are the days of blasting job applications and seeing what sticks. AI can be partly blamed for this (companies can now do more with less), but the real reason is a tough economy. High-volume job applications and automation - There are tools for this, and some of them might worth trying out, but it does not really change the core issue: it's a tough economy, so it's not really about numbers. It's about networking and referrals - might not be what applicants want to hear, but it's true. Who you know, not what you know. Common job search myths vs reality - As above. How recruiters evaluate candidates beyond resumes LinkedIn activity for sure, and GitHub for the software industry specifically. Richard Demeny, Founder & CEO at TechJobFinder.com - Company (if applicable)
From running a large comparison platform that tracks and reviews hiring and ATS software used by mid-market companies, a few patterns are very clear going into 2025-2026: * ATS and AI filters still screen mostly for structure, not brilliance. Clean formatting, role-aligned keywords, and recent experience matter more than clever resumes. Candidates get filtered out for noise, not lack of skill * What actually gets interviews is proof of execution. Portfolios, shipped projects, GitHub activity, and concrete outcomes outperform generic resumes every time * High-volume applications hurt candidates. We consistently see better outcomes from targeted applications tailored to the role and company * Recruiters increasingly evaluate candidates through context. Referral signals, async work samples, and short technical exercises matter more than pedigree Albert Richer, Founder, WhatAreTheBest.com
Joe Spisak Founder and CEO, Fulfill.com I've hired over 200 people at Fulfill.com in the past five years, and the biggest myth I see candidates believe is that applying to 100 jobs is better than deeply researching 10 companies. The data from our hiring pipeline tells a completely different story. Here's what actually gets candidates interviews at our company and what I've observed across our network of logistics and e-commerce partners: ATS systems aren't just keyword matching anymore. They're scoring context and relevance. I recently reviewed our applicant tracking data and found that resumes with quantified achievements in the job description's exact problem areas scored 67% higher than keyword-stuffed generic resumes. For example, when we posted a warehouse operations role mentioning inventory accuracy challenges, candidates who wrote "improved inventory accuracy from 94% to 99.2% using cycle counting protocols" got flagged for review. Those who just listed "inventory management" as a skill didn't make it through. The interview trigger isn't your resume, it's your first 90 days plan. We started asking candidates to submit a brief 30-60-90 day plan with their application six months ago. Interview rates jumped from 8% to 31% for roles requiring strategic thinking. This works because it shows you've researched the company's actual challenges. When someone applies to our logistics coordinator role and their plan mentions our recent warehouse expansion in the Southeast, that tells me they're serious. High-volume applications are killing quality candidates. I can spot mass-applied resumes instantly. They use generic cover letters, don't reference our company specifically, and their experience doesn't align with our actual needs. Our data shows these candidates, even when qualified, have 90% higher offer decline rates because they're not genuinely interested. The reality about recruiter evaluation: I spend 15 seconds on initial resume review, but I spend 20 minutes reviewing LinkedIn activity, GitHub contributions for technical roles, or industry writing for senior positions. Your digital presence is your real resume now. I've hired three people in the past year who weren't actively applying but had strong thought leadership in logistics and supply chain communities. Bottom line: automation has made it easier to apply everywhere, but that's exactly why targeted, researched applications win. Quality beats quantity by a factor of 10 in our hiring data.
Josiah Roche Fractional CMO Silver Atlas In my experience, ATS and AI tools are still quite blunt. They do keyword and phrase matching against the job ad, check years in role, seniority, and sometimes a skills taxonomy. They struggle with non-standard titles and mixed careers. A "Growth Lead" might get scored lower than a "Marketing Manager", even if the work is identical, because the model's trained on more common titles. What's getting interviews now is a resume that works for both the machine and the human. The machine needs a clean layout, standard section labels, and phrases that echo the job ad. The human needs proof of impact. For marketing and product roles I advise on, candidates who list 2-3 clear outcomes per job (like "grew qualified demo requests by ~25% in 6 months" or "reduced CAC by ~20% while keeping revenue flat") tend to make it to interview shortlists more often than those who list tasks. High-volume, one-click applying isn't helping much. Leaders I work with in SaaS and services complain that a large share of applications feel AI-generated and generic. So they lean harder on simple extra filters: short written questions, a quick "how would you improve X metric?" prompt, or a link to a portfolio or GitHub. Those small tasks cut the active pool down to a manageable group that's shown some intent. The biggest myth I see is "once I beat the ATS, I'm safe". Once a hiring manager is involved, the focus shifts to judgment and context: can the person explain why they chose one trade-off over another, how they worked with limited budget, and whether their wins make sense for the company's stage. I've seen more final decisions made on a 30-60 minute case discussion than on anything in the original CV.
GPTZero is actively engaged in analyzing the interaction of millions of real-world hiring and screening processes. We can see first-hand how AI resume screening and recruiter behaviours are evolving and developing. There are many misconceptions about beating the ATS and how candidates perceive it, that simply do not accurately represent the current business reality. Modern ATS and AI screeners rely on a different set of criteria than keyword stuffing and more on the use of Semantic Relationships with each other. As a result, we see many resumes being rejected not for a lack of keywords but rather for vague descriptions of roles and responsibilities, exaggerated claims within job descriptions, and inconsistencies in the timeline of skills or experience. The emphasis on clarity is now more important than trying to game the system. Another important factor in determining who receives an interview in 2025-26 is Signal Density. Candidates who can articulate their achievements using clear outcome descriptions, scope of responsibility and purpose, and progression within the organisation will have more significant success than candidates who provide lengthy lists of generic skills. One well-supported and thoroughly documented role is often a greater contributor to success than 5 generic roles. Candidates who apply for high-volume positions are self-filtering themselves out of consideration. Employers will increasingly downgrade a candidate's application due to the number of roles for which they have applied indiscriminately. On the other hand, targeted applications will result in significantly higher callback rates. Employers are performing evaluations of job candidates beyond their resumes significantly earlier in the hiring process than candidates expect. The evaluation of work samples, referrals from current or former co-workers, and online presence will increasingly impact the decision-making process prior to the first round of candidate interviews.