You write a resume. You spend an hour on it. You apply. You hear nothing.
It is tempting to assume the hiring manager looked at your application and passed. In most cases, that is not what happened. A piece of software read your resume, scored it, and decided you were not worth forwarding to a person.
That is the reality of hiring in 2025. If you are not thinking about how automated screening works, you are sending applications into a void.
How many companies are actually using AI screening?
A lot more than most people realize.
According to CareerBuilder and data compiled by The Interview Guys, 83% of companies were projected to use some form of AI-based screening by the end of 2025 (The Interview Guys / CareerBuilder, 2024). That includes resume parsing, keyword scoring, candidate ranking, and automated rejection emails.
Jobscan's research puts the number even higher for large companies: 99% of Fortune 500 companies use an applicant tracking system to manage hiring (Jobscan, 2023). These are not passive filing cabinets. They actively score and rank every resume that comes in.
And it is not only the Fortune 500. A 2021 study from Harvard Business School and Accenture found that more than 90% of large employers and a growing number of mid-size companies use ATS software as a core part of their hiring pipeline (Harvard Business School and Accenture, 2021).
The trend is moving in one direction: more automation, not less.
What AI screening actually does
When you submit a resume through an online application, here is what typically happens:
Step 1: Parsing. The ATS extracts text from your resume and tries to identify structured information: your name, contact info, job titles, dates, education, and skills. If your formatting is unusual (multi-column layouts, tables, text boxes, image-based PDFs), the parser may scramble or skip sections entirely.
Step 2: Keyword matching. The system compares the text in your resume against the job description. It looks for specific terms: skills, tools, certifications, methodologies, job titles. If the posting asks for "Python" and "data analysis" and your resume says "scripting" and "research," you score lower, even if the actual work was identical.
Step 3: Ranking. The ATS assigns your application a score based on how closely your resume matches the job description. Candidates are sorted by score. Recruiters typically start at the top and work down, which means candidates below a certain threshold may never be seen.
Step 4: Filtering. Some companies set hard cutoffs. If your score is below 60% or 70%, your application is automatically moved to a "not qualified" bucket. You receive a generic rejection email (or no email at all), and your resume was never read by a person.
This entire process happens in seconds. No human involvement until step 3 or 4, and sometimes not even then.
How this affects your application
The Harvard Business School study put a specific number on the problem: their research found that automated screening systems regularly reject qualified candidates. Across the employers they studied, hiring managers reported that ATS filters were screening out people who could do the job well (Harvard Business School and Accenture, 2021).
Jobscan estimates that more than 70% of resumes are rejected by the ATS before reaching a recruiter (Jobscan, 2023). Other industry sources put the number at 75%.
Think about what that means. For every 100 people who apply to a job, roughly 70 to 75 of them are filtered out before any human makes a decision. The rejection is not based on whether you can do the job. It is based on whether your resume uses the right words in the right format.
This is not about your qualifications. It is about translation. You need to translate your experience into the specific language the screening software is looking for.
This is not about whether you like AI
You might have strong feelings about AI in hiring. You might think automated screening is unfair (and there are valid arguments that it is). You might wish companies would just read every resume.
None of that changes the situation you are in right now. The software is there. It is running. Your resume goes through it whether you want it to or not.
The question is not "should companies use AI to screen candidates?" The question is "given that they do, how do I make sure my application gets through?"
That is a practical question, and it has a practical answer.
Using AI to prepare your application is not cheating
There is a recurring concern that using AI tools to improve your resume is somehow dishonest. Let's address that directly.
Hiring a resume writer has been considered normal for decades. Working with a career coach who helps you reframe your bullet points is standard advice. Using Grammarly to fix your grammar is not controversial.
AI resume tools do the same thing, faster and cheaper. They take your actual experience and help you describe it in language that matches the job posting. They do not invent experience you do not have. They do not fabricate skills. They rewrite what is already true about your career in words that the screening software and the hiring manager will recognize.
The line is clear: using a tool to better communicate your real qualifications is fine. Fabricating qualifications is not. That line exists whether you are using AI, a resume writer, or a pen and paper.
Companies have already decided that using AI to evaluate candidates is acceptable. Using AI to prepare your application puts you on equal footing. Nothing more, nothing less.
What you can do about it
You have two options: keep sending the same generic resume to every job and hope for the best, or adapt to how hiring actually works in 2025.
If you choose to adapt, here are the specific steps that matter:
Tailor each resume to the job description. This is the single most effective thing you can do. Pull keywords directly from the posting and work them into your resume naturally. If the job says "stakeholder management" and your resume says "working with teams," change it. Same experience, different words, very different ATS score.
Use the right format. Single-column layout. Standard section headers (Experience, Education, Skills). No tables, text boxes, or graphics. Save as DOCX or text-based PDF. These formatting basics prevent parsing errors that can tank your score regardless of your content.
Check your match score before you apply. You would not send a cover letter without proofreading it. Treat your ATS score the same way. Fitted's ATS score checker compares your resume against any job description and shows you exactly which keywords you are missing. It takes about two minutes.
Do not keyword-stuff. Adding every term from the job description into a hidden text block is detectable and will get you rejected at the human review stage. Only include skills and experience you actually have and can discuss in an interview.
Apply early. Roles that have been open for weeks have larger applicant pools. Applying within the first 48 to 72 hours means less competition and a lower effective threshold for review.
For a step-by-step process, read our guide on how to tailor your resume to a job description.
The bigger picture
The job search process has changed. Pretending it has not is the most expensive mistake you can make, because it costs you interviews.
Companies decided years ago that using AI to sort candidates was acceptable. That decision was not up to job seekers. But how you respond to it is.
You do not need to like the system. You just need to understand it well enough to make sure your resume lands in front of a person.
Check your resume score and see where you stand. Or read more about how ATS scoring works if you want to understand the details first. If you are ready to start tailoring, create a free account and get 5 free credits to try it out.