--- title: "How AI Is Used in Hiring and How to Prepare | Openskill" description: "AI now screens resumes, books interviews and scores answers. How to prepare for each stage of hiring." url: "https://openskill.ai/blog/how-ai-is-used-in-hiring/" --- [← Back to blog](https://openskill.ai/blog/) · [Career Advice](https://openskill.ai/category/career-advice/) # How AI is used in hiring, and how to prepare for it Jul 19, 2026Updated Sep 30, 20265 min read[Openskill team](https://openskill.ai/about/) [hiring](https://openskill.ai/tag/hiring/) · [recruiting](https://openskill.ai/tag/recruiting/) · [AI in hiring](https://openskill.ai/tag/ai-in-hiring/) · [job search](https://openskill.ai/tag/job-search/) ### In this article 1. [Where the machine actually shows up](https://openskill.ai/blog/how-ai-is-used-in-hiring/#where-the-machine-actually-shows-up) 2. [The resume stage: match, don’t game](https://openskill.ai/blog/how-ai-is-used-in-hiring/#the-resume-stage-match-dont-game) 3. [The interview stage: structure travels well](https://openskill.ai/blog/how-ai-is-used-in-hiring/#the-interview-stage-structure-travels-well) 4. [What to actually do about it](https://openskill.ai/blog/how-ai-is-used-in-hiring/#what-to-actually-do-about-it) 5. [Find roles and practice for the exact one](https://openskill.ai/blog/how-ai-is-used-in-hiring/#find-roles-and-practice-for-the-exact-one) 6. [The honest read](https://openskill.ai/blog/how-ai-is-used-in-hiring/#the-honest-read) There’s a decent chance the first thing to read your application won’t be human. Not in a dystopian way, more in a boring, administrative way, the same way a spam filter reads your email before you do. If that changes how you prepare, good. It should. ## Where the machine actually shows up SHRM’s research on AI in HR puts a number on it: about 27% of organizations now use AI somewhere in recruiting, and that makes recruiting the single most common place HR teams reach for the technology. It’s not evenly spread across the funnel, though, so it helps to know which stages you’re likely to hit. The first is resume screening. This is the oldest and least glamorous use, sorting a stack of applications by how well they match a role before a recruiter spends time on any of them. The second is scheduling, the back-and-forth of finding a slot that works, which a lot of teams have handed to software because it’s tedious and nobody enjoys it. The third, and the newer one, is the interview itself. SHRM found roughly 23% of organizations using AI to help conduct or evaluate interviews, which can mean transcribing your answers, matching them against a rubric, or flagging them for a person to review. None of this is subtle sabotage. HR teams that use AI for recruiting overwhelmingly say the point is time, with 89% reporting it saves them some. A recruiter drowning in 400 applications for one opening is going to lean on whatever thins the pile. ## The resume stage: match, don’t game The instinct when you hear “a robot reads it first” is to game the robot. Load the resume with every keyword from the posting, maybe in white text at the bottom, and sail through. I’d push back on that, and not for moral reasons. A screener is a doorman, not the final boss. If you talk your way past the door with claims you can’t support, you’ve just scheduled a more awkward conversation later, this time with a person who can tell. The better play is honest alignment: read the job description closely and make sure the words you match are actually on the page. If the role asks for “incident response” and you’ve done exactly that but called it “on-call firefighting” on your resume, the screener can’t connect those, and that’s a miss you can fix. So mirror the language where it’s true. Cut the parts that pad. A tight resume that reflects what you’ve done tends to survive both the filter and the human behind it. ## The interview stage: structure travels well The interview scoring piece is the one people find unsettling, and I understand why. It feels different to have your answers graded by a system rather than read on a face. What makes it less scary is that the thing scoring well with a rubric is mostly the same thing that lands with a person. Structured answers with a specific situation, the action you took, and how it turned out give a rubric something concrete to match and give a human a story they can follow. Vague answers do badly with both. So the preparation doesn’t split into “how to impress a person” and “how to impress a machine.” It’s one skill, and it’s the same skill you’d want anyway. Where it gets trickier is the newer format, the one-way video interview where you record answers to prompts on your own with no interviewer present. Those are colder to sit through, and a lot of them feed into automated scoring. The move there is the same, which is to answer as if a smart, slightly impatient person is watching, because at the review stage one often is. ## What to actually do about it A few things follow from all this, and none of them involve outsmarting an algorithm. Prepare your examples before you need them. The candidates who freeze in structured or recorded interviews usually aren’t short on experience, they just haven’t practiced pulling the right example out under a little pressure. Working through a handful of behavioral and technical prompts as a real conversation, against something that pushes back instead of nodding along, is worth more than rereading the job description a fifth time. That’s the whole reason practicing a full conversation beats running bullet points in your head. Ask how the process works. It’s reasonable to ask a recruiter whether a screen is automated and how answers get reviewed. Most will tell you, and knowing you’re recording into a scoring system versus talking to a person changes how you’d pace and structure what you say. And don’t panic about the machine. The uncomfortable truth is that AI in hiring mostly rewards the same things good interviewers always did: clarity, relevant evidence, a real example instead of a generality. The funnel got more automated. What it’s looking for didn’t change nearly as much. ## Find roles and practice for the exact one Since the resume stage rewards a match with the posting, start from a real posting. [Jobs on openskill](https://app.openskill.ai/jobs) searches real, current openings pulled from employers’ own career pages and job boards, and you can filter by country, work arrangement, employment type, date posted and company. On any role, “Prepare for this interview” starts a mock interview tailored to that exact job, with scored feedback when the session ends. [openskill](https://openskill.ai/) is a complete career platform, and you apply on the employer’s own site. ## The honest read A quarter of employers screening with AI sounds like a wall between you and the job. In practice it’s more like a faster, blunter version of the process that already existed. The parts you can control, a resume that matches what you’ve actually done and answers built around concrete examples, are the parts that both the software and the person on the other side are grading. Prepare for those and the automation stops being the thing standing in your way. ## Questions, *answered.* ### Do companies really use AI to screen candidates? Yes. SHRM's research found that about 27% of organizations use AI somewhere in recruiting, which is the most common HR use of the technology. It shows up most in resume screening and scheduling, and increasingly in scoring interview answers too. ### Should I stuff my resume with keywords to beat the screener? Match the language of the job description where it honestly applies, but don't pad. A screener that shortlists you on keywords you can't back up just moves the mismatch to the interview, where a person will catch it. ### Can I tell if an interview is being scored by AI? Not always, and it's fine to ask. Some video and phone screens use AI to transcribe and rate answers against a rubric. Either way, structured answers with concrete examples score well with both a rubric and a human. Compare tools ## Choosing where to practice? See how Openskill compares with other interview practice tools, and how its job search and AI match score fit alongside realistic voice practice. - [Best AI mock interview apps (2026)](https://openskill.ai/best-ai-mock-interview-apps/) - [Best mock interview apps for job-specific practice](https://openskill.ai/compare/best-mock-interview-apps-for-job-specific-practice/) - [Best realistic voice AI mock interview apps](https://openskill.ai/compare/best-realistic-voice-ai-mock-interview-apps/) - [Best all-in-one AI interview prep platforms](https://openskill.ai/compare/best-all-in-one-ai-interview-prep-platforms/) - [All interview tool comparisons](https://openskill.ai/compare/) Share[X](https://x.com/intent/post?text=How%20AI%20is%20used%20in%20hiring%2C%20and%20how%20to%20prepare%20for%20it&url=https%3A%2F%2Fopenskill.ai%2Fblog%2Fhow-ai-is-used-in-hiring%2F) · [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fopenskill.ai%2Fblog%2Fhow-ai-is-used-in-hiring%2F) Keep reading ## Related *reading.* Career Advice ### [Referrals still beat the algorithm](https://openskill.ai/blog/referrals-still-beat-the-algorithm/) In a market where software screens most applications before a human sees them, knowing someone inside the company is still the strongest lever you have. LinkedIn found applicants connected to an employee are about 3.6 times more likely to get hired, and most of the slow market has more to do with the economy than with AI. Jul 26, 2026 6 min Career Advice ### [Why your job search, interview practice, and feedback belong in one place](https://openskill.ai/blog/job-search-interview-practice-feedback-one-place/) Job seekers juggle a job board, a spreadsheet, a notes app, and a practice tool, and lose the thread between them. Openskill brings finding jobs, one-click practice, feedback, and interview preparation into one career platform. Oct 22, 2026 4 min Career Advice ### [How a job match score helps you find the jobs that fit you](https://openskill.ai/blog/job-match-score-find-jobs-that-fit/) Most job searches start with too many listings and too little signal. Openskill gives every job an AI-powered match score, with the requirements you meet and the gaps worth preparing, so you spend your time on the right roles. Oct 18, 2026 5 min