We've built an arms race where applicants use AI to spam applications and recruiters use AI to filter them. The result is worse for everyone.
HR professionals in Vancouver report being overwhelmed by AI-generated job applications that "look perfect" but are mass-produced by bots. Traditional screening mechanisms are failing, forcing companies to completely rethink how they evaluate candidates. The flood is making it harder for real applicants to get noticed.
Here's what's happening: AI tools now let job seekers generate customized resumes and cover letters for hundreds of positions per day. The output is grammatically flawless, keyword-optimized, and perfectly tailored to job descriptions. It's also largely fictional or inflated beyond recognition.
HR departments respond by using AI screening tools that filter applications based on keywords, patterns, and automated scoring. These tools are designed to catch the obvious spam - identical applications, nonsensical qualifications, clear bot behavior.
But the AI-generated applications aren't obvious spam. They're sophisticated. They pass automated screening. They make it to human reviewers who then waste time on candidates who mass-applied to 200 jobs and have no actual interest in the position.
Real candidates - people who carefully researched the company, tailored their actual experience, and genuinely want the role - get lost in the noise. Their resumes sit in a pile with 500 AI-generated applications that look just as good on paper.
The economic incentives are clear and perverse. For job seekers, the marginal cost of applying to one more position is near zero if AI generates everything. For employers, the marginal cost of screening one more applicant approaches zero with automated tools. So both sides optimize for volume.
What gets lost is the actual job of matching people to work. That requires understanding what a candidate can actually do, what they want, and whether they'd be good at this specific role. You can't automate that evaluation, but you also can't do it manually when you're drowning in applications.
Some companies are abandoning resume screening entirely. They're using work samples, skills tests, and practical assessments. Others are requiring video introductions or unusual application questions designed to be hard for AI to fake. These approaches work, but they don't scale.
The fundamental problem is that we've optimized the wrong thing. Hiring software promised efficiency: more candidates, faster screening, better matches. What it delivered was a volume game where the signal gets drowned in AI-generated noise.
