Technology
Surge in automated job applications prompts recruiters to reintroduce friction
Hiring professionals report that generative AI and bulk application tools are overwhelming recruiters and rendering online application processes ineffective.
The short version
- Recruiters and industry experts report that the surge in AI-generated and automated submissions has flooded open positions with thousands of applications, making it difficult to identify qualified candidates.
- Data from LinkedIn shows that submissions per applicant on the platform have increased 46% compared to February 2020, with overall applications rising 22% since the launch of ChatGPT.
- To counter the influx, recruitment platforms and employers are introducing skills tests, strict filter questions, limits on automated submissions, and AI-driven first-round interviews.
Key facts
- Data from the Bureau of Labor Statistics shows that U.S. job openings peaked at a record 12.3 million in March 2022 and have hovered around 7 million since mid-2024.[Wired]
- LinkedIn reports that submissions per applicant on its platform have increased by 46 percent compared to February 2020, and applications are up 22 percent since ChatGPT launched.[Wired]
- LinkedIn is implementing features to restrict automated applications and to notify applicants who appear underqualified for specific roles while suggesting alternative listings.[Wired]
- Former head of people at Vendr, Andrew Stockwell, estimated that applying to online job postings leads to a phone interview less than 2 percent of the time without a personal connection.[Wired]
What remains uncertain
- Whether adding screening friction, skills testing, or AI interviewers will effectively fix the hiring system without inadvertently excluding qualified talent remains unverified.[Wired]
Sources
- It Should Be Harder to Apply for a Job. No, ReallyWired metered