Artificial intelligence was expected to simplify recruitment and improve hiring efficiency. However, new research and industry insights suggest many hiring teams are now dealing with heavier workloads, rising application volumes and more complex recruitment processes, as reported by HRD.
The concerns come as organisations rapidly adopt AI-powered hiring tools across talent acquisition.
According to Gartner and Greenhouse, recruiters are becoming overwhelmed as candidates use AI to mass apply for jobs. Employers are also relying on AI systems to filter applications. Industry leaders say businesses have added AI tools without redesigning workflows. As a result, recruiters are handling more manual tasks instead of fewer.
The growing use of AI is creating challenges for employers, recruiters and jobseekers. Recruiters are facing record application volumes. Employers are struggling to identify quality candidates. Applicants are also finding it harder to stand out in crowded hiring pipelines.
Experts warn that poor AI implementation could damage candidate experience, increase recruiter burnout and reinforce bias in hiring decisions if recruitment structures are not improved.
Greenhouse analysed data from more than 7,000 businesses and 22 million monthly job applications. The company found that both employers and candidates are unhappy with the hiring process for the first time in its 14-year history. Recruiter application volumes have increased by more than 400% year-on-year as AI allows candidates to apply for dozens of jobs within minutes.
Greenhouse also found that companies with structured interview processes saw a 53% drop in rehiring needs within 12 months. The estimated cost of a failed hire can reach nearly $280,000 when productivity losses, onboarding costs and morale impacts are included.
The research showed that nine in 10 candidates expect interviews to provide a genuine understanding of company culture and values. At the same time, Gen Z candidates are being disproportionately affected because many lack strong professional referral networks.
Gartner noted that AI has not yet delivered measurable recruiter productivity gains. However, it has improved hiring quality and encouraged recruiters to adopt more consultative behaviours.
“AI is not having a significant impact on recruiter productivity yet," said Jamie Kohn, senior director of research, Gartner’s HR practice. “We have added tools, but we have not redefined roles and workflows. We're just adding more steps to the process."
"It's creating what we call an AI doom loop," said Tom Hyde, head of sales and revenue APAC, Greenhouse. "Candidates are using AI to mass apply for roles. Businesses are using AI to sift through the massive volume. And good signals are getting lost on both sides."
Kohn also explained that recruiters are still manually copying job descriptions between HR systems and generative AI platforms. She described the process as "clunky" and inefficient. "Right now, recruiters are drowning. And while they're drowning, they're being told, 'Just use AI, that'll be fine.'"
Gartner and Greenhouse believe AI can still improve recruitment outcomes. However, businesses need to redesign workflows, improve candidate experience and use AI more selectively for high-volume roles. Experts believe recruiters will become more strategic and consultative in the future as AI handles repetitive administrative tasks while human oversight remains essential for complex hiring decisions.