AI Fuels Endless Job Market Crisis

The job market faces an “AI doom loop” where job seekers use AI to generate mass applications and employers use AI in applicant tracking systems to filter them, leading to mutual dissatisfaction, as noted by Daniel Chait, CEO of Greenhouse, with only 10 to 20 percent of applicants typically considered as of September 2026.

This cycle of AI reliance is creating a frustrating experience for both parties. Job seekers increasingly feel their applications disappear into a void, while employers are overwhelmed by a flood of nearly identical, AI-generated submissions.

The situation highlights a growing breakdown of trust and efficiency in the hiring process, pushing both sides to invest more in AI tools that, paradoxically, worsen the overall problem.

What Creates the AI Doom Loop in Hiring?

Job seekers are spamming every job with AI, often paying for tools that blast applications to every open role. This creates a challenging environment for employers, who receive hundreds of applications that look nearly identical.

To manage this influx, employers are turning to AI to filter out applications, attempting to achieve quick differentiation. This escalates the arms race, driving both parties to greater reliance on artificial intelligence.

We've got this tragic situation where each side has a problem. They're using AI to solve their own problem, but in ways that make the problem worse. And so more AI use begets more AI use, to no one's benefit. The more it's happening, the worse it gets.
— Daniel Chait, CEO of Greenhouse

How Do Applicant Tracking Systems (ATS) Use AI?

Applicant Tracking Systems (ATS) commonly use AI to automatically rate and rank candidates based on keywords and formatting, with the belief that only a small percentage of top applicants will be reviewed by humans, compelling job seekers to tailor their materials for machine readability.

This premise, though widely believed by job seekers, is not always accurate; some organizations still rely on human review from start to finish. The specific use of AI varies greatly depending on the ATS product and features activated by a team.

Job seekers like Jodi Beggs have received feedback from online systems comparing their resumes to job descriptions. These tools often suggest changes, such as modifying 'percent' to '%' or adjusting document length, to increase an applicant's score.

What Strategies Help Navigate the AI Job Market?

Daniel Chait advises against a "spray-and-pray" approach, urging job seekers to spend time researching companies where they genuinely want to work. Submitting a cover letter can also help applicants stand out, as they are rarely seen anymore.

James Jacobsen, a design professional, used AI to streamline his job search by analyzing job descriptions and tracking opportunities, effectively building a personalized tracking system. This allowed him to find higher-quality positions and personalize his approach.