Most job seekers never get to see what happens to an application after they hit send, but I do, because we at Careerflow built an AI product that helps people get hired, and I spend most of my week on the recruiter’s side of the screen.
Lately the pattern there is ugly: the same bots people are using to apply faster are the reason they’ve gone invisible.
We watch the number closely at Careerflow, because it changes how every single one of our users gets screened.
That junk didn’t come from people looking for work. It came from software applying on their behalf.
Most weeks, someone who’s fired off three or four hundred applications and heard nothing back writes in, and they want to know what’s broken.
Nearly every time, it’s the tool doing the applying for them.
So if that’s been you lately, this one’s for you. I want to walk you through what’s happening on the recruiter’s end, and what the people who are getting hired are doing instead.
A whole new category of tools landed in the last year and a half. LazyApply, Sonara, Massive, JobCopilot, and the EasyApply bots that bolt straight onto LinkedIn.
The pitch is always the same: sit back, let the bot apply for you, wake up to fifty fresh submissions you didn’t lift a finger for.
I understand the appeal as well as anyone, since this is exactly the kind of repetitive work you’d want to automate away.
The problem is what it does to the person on the receiving end.
The recruiter filling a senior role at a growth-stage startup now opens her Monday queue to several times what she’d have seen two years ago.
Same hours in the day, same hiring manager asking why the role isn’t closed yet, several times the resumes to get through.
So she opens a batch of them, reads the first few lines of each, and rejects most of them on the opening line.
The screening software underneath them is doing the same thing, getting quicker and harsher about anything that looks mass-produced.
That runs against everything the bulk-apply tools sell you. Past a certain point, sending more applications doesn’t increase chances. It just spreads your effort so thin that none of it lands.
When I started Careerflow AI, the logic behind applying in bulk made sense to me too: more shots, more goals.
It stopped making sense the moment the inbox filled with automated noise. Now it’s the opposite. Every extra application lowers what any single one is worth, and eats the time you could have put into three or four real ones.
Here’s what a typical AI-applied resume looks like to a recruiter who reads them all day.
The opening line is some version of “Results-driven professional with a passion for innovation and impact.”
The recruiter already saw that phrase several times that morning, on resumes for completely different roles.
The bullets all start with the same six verbs (leveraged, spearheaded, drove, optimized, executed, delivered), in the same order, formatted the same way.
The summary has a “Passionate about [Company Name]” line where the company name was autofilled from a template the candidate never read closely.
Resume Now’s report, built on 925 HR workers, found that 62% are more likely to reject an AI resume that hasn’t been customized, and 78% said the personalized details are exactly how they tell that someone wants the job.
The data confirms what the recruiter at her desk already knows. She doesn’t have the 14 seconds to figure out whether you’re a real candidate or a bot. The safer move is to skip.
The grads I see landing offers in 2026 are running a much smaller version of the search.
Pick 10 companies a week. Not 50, not 100. Ten companies where you’d take the job if it came through. Write the list down before you do anything else.
Spend 20 minutes per company before you apply. Read the JD properly. Read the company’s last six months of news. Read the hiring manager’s LinkedIn. By the time you’ve spent the 20 minutes, you should know what the team is shipping, what the role is really about, and one specific reason you want to work there that has nothing to do with the word “culture.”
Send a tailored application, not a template. Rewrite the bullets on your resume to match the actual JD. Open the cover letter with something the company would notice. Like this:
You posted this role looking for someone who can reduce trial-to-paid churn. I worked on that exact problem at [previous company] last year and brought it down 18%. Here’s how I’d think about it for you.
None of this means AI is the enemy. I’d be a hypocrite to say so, given what I do for a living. 74% of US job seekers now use AI somewhere in their search, per Greenhouse, and that’s completely fine.
AI isn’t the problem. The bulk-apply tools took something that could sharpen your search and turned it into a slot machine.
Careerflow was built for the opposite use of AI.
There’s a line from Cal Newport’s Deep Work I kept thinking about while writing this:
“High-Quality Work Produced = (Time Spent) × (Intensity of Focus)”
The bulk-apply tools chased the first half of that and threw the second one away. They handed you volume and took the focus out of it.
The people getting hired this year are the ones putting that focus back, sending fewer applications, aimed at companies they care about working at.
See you next week.
Puneet
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