You put in the work—revised your resume, tailored it to the role, maybe even double-checked it in Grammarly. But after you click “Apply,” the next move feels a little unclear.
Is a hiring manager actually going to read your resume? Or is an algorithm silently screening you out before a human ever gets involved?
In most cases, it’s both.
Your resume is being seen by two readers—one human, one machine—and they’re not always looking for the same things. Knowing how each works (and what they care about) can make all the difference between being skipped over or being called in.
Let’s look at how the process plays out—and how to write for both.
The First Gate: AI Scanners
Most companies use some form of an applicant tracking system (ATS). These systems help organize applications and, more often than not, filter them.
When your resume hits their system, it gets scanned for:
- Keywords from the job description
- Relevant job titles and skills
- Education or certification matches
- Dates of experience
- Clean formatting (so the software can parse it)
If those boxes aren’t ticked, the resume might never be seen by a recruiter.
And the frustrating part? You could be a great fit, but if the right words aren’t there—or if your formatting throws off the system—you’re out before you’re even in.
The Human Review
Now, let’s say your resume makes it past the scan. Great. You’ve reached a human.
At this stage, the recruiter or hiring manager is scanning with a different lens. They’re not hunting for keywords—they’re trying to figure out if your experience tells a clear story, and whether that story aligns with what the team needs.
This means they’re looking for:
- Progression: Have you grown in your roles over time?
- Results: What kind of impact have you made?
- Fit: Will you likely work well with the current team or company culture?
In other words, humans look for potential. AI scanners don’t.
Where AI Tends to Fall Short
Let’s say you’ve been running content strategy for a fast-growing startup. You’ve led campaigns, launched new products, and improved engagement by 40%. Solid, right?
But you used the phrase “go-to-market planning” instead of “product launches,” and left out “SEO optimization” even though you handled it daily.
The AI scanner doesn’t make the connection. It’s literal. It can’t infer or guess. If a keyword isn’t present, it assumes you don’t have that skill.
The takeaway: if the job description mentions it, your resume should reflect it in plain language.
Where Humans Step Up
Humans can do what AI can’t—they connect dots.
If you’ve worked in customer service and you’re applying for a role in community management, a recruiter might recognize how those skills carry over. AI likely won’t.
They also notice writing tone, clarity, and relevance. So while an AI tool won’t reward you for a well-written summary, a human probably will.
This is your chance to tell your story—why your background makes sense for this opportunity, even if the titles don’t line up perfectly.
So Which One Matters More?
It’s not about one or the other. In today’s hiring world, you need to pass both tests.
The AI scanner decides if your resume gets seen. The human decides if you move forward.
If your resume is written only for the scanner, it might get through—but fall flat when a person reads it. If it’s too human and ignores the keywords altogether, it might never be opened.
Here’s a good way to think about it:
The AI finds your resume. The human hires you.
Writing for Both (Without Losing Your Mind)
You don’t have to write two versions of your resume. But you do need to be intentional. Here’s how to strike a balance:
1. Match Their Language
Look closely at the job description. Do they say “content calendar” or “editorial planning”? Do they ask for “customer onboarding” or “new user activation”?
Mirror that language in your resume—where it applies. Not word for word, but close enough to register.
2. Use Clean Formatting
Avoid tables, columns, and graphics. Use standard section headings (“Work Experience,” “Education,” etc.). Upload it as a .docx or a basic PDF, not something overly designed.
It doesn’t need to be pretty. It needs to be readable.
3. Add Results Wherever You Can
Recruiters want more than job duties—they want to know what happened because of your work.
Instead of:
Handled social media content and analytics
Try: Increased engagement by 38% in six months by leading a refresh of Instagram content strategy
It’s specific. It’s easy to scan. And it gives a reason to keep reading.
Quick Reality Check: Common Resume Myths
A few things candidates still get wrong (and that hurt their chances with both humans and scanners):
- Myth: You need a creative design to stand out
Truth: Most ATS tools can’t handle fancy formatting—and recruiters just want clarity. - Myth: A single resume works for every job
Truth: Small tweaks for each role can mean the difference between “look closer” and “next.” - Myth: Cover letters are where your personality goes
Truth: Most cover letters aren’t read. Your resume should already reflect your voice.
Final Thought
Getting noticed in the hiring process isn’t just about what’s on your resume—it’s about who sees it and when.
AI helps employers manage scale. Humans make the decisions. You need both to work in your favor.
The good news? You don’t have to game the system. You just need to be clear, relevant, and real.
Speak the language of the job post. Show the impact of your work. Format it so both a scanner and a person can make sense of it.
That’s how you get through the system—and onto the shortlist.
