More Applicants, Less Quality — The AI Application Arms Race Is Real
The News
An employer's market doesn't mean recruitment has gotten easier, HR Dive's Kathryn Moody reports in a January 2026 feature. Drawing on interviews with Robert Half's Robert Hosking, Gartner's Jamie Kohn, and DSG Global's Aileen Alexander, the article identifies five hiring trends that define the current landscape — with the AI application arms race at the centre.
Thanks to artificial intelligence, job seekers can tailor their resume to look exactly like the job description. Fake applicants are put forth by bots. Some programs apply for real people without their knowledge. 'Great candidates may be immediately rejected because AI is determining their application doesn't look as good as one that was created by AI,' Hosking told HR Dive. Meanwhile, candidates are 'job hugging' — staying put because they feel satisfied with their culture and compensation — making it harder to close the deal even when you find quality applicants.
The value of the in-person interview has only increased because of these dynamics, Hosking said, as behavioural-based questions are the best way to assess actual capability. 'The balance of power has shifted' to employers, but the practical reality is that recruiters are working harder than ever to separate signal from noise in an applicant pool increasingly generated by machines talking to other machines.
Why It Matters
This is the ground truth that every TA leader is living right now but may not have the language for at the executive level. The AI application arms race means: candidates use AI to apply faster, AI-powered tools rank applications, and recruiters spend more time rejecting bad applications than engaging good ones. The system is optimising for volume, but volume is the problem.
The HR Dive reporting confirms what the Indeed Smart Screening launch suggests: the market is reaching a tipping point where the costs of the AI application arms race are outweighing the benefits. Recruiters who spent years trying to get more applicants now need to be trained to identify which applications are real, which are AI-optimised to look real but aren't, and which candidates are worth an actual conversation. That's a fundamentally different skill set.