When the Algorithm Becomes the Gatekeeper: What AI Hiring Means for Merit

The question is what we want AI to optimize.

Michelle Brenier | September 6, 2026

For generations, getting a job required convincing another person that you could do it. A résumé might get you through the door, but eventually a manager had to make a judgment about your experience, ability, and character.

That process was never perfect. Human beings bring their own prejudices and preferences to hiring. But the growing use of artificial intelligence in recruitment introduces a different problem: the person making the first judgment may no longer be a person at all.

Employers increasingly use automated systems to source candidates, screen résumés, administer assessments, and rank applicants. The appeal is obvious. A company receiving thousands of applications cannot have a manager read every résumé carefully. Software can process information faster and impose consistent rules.

But efficiency is not the same thing as judgment. And if employers are not careful, the pursuit of efficiency can quietly change what “merit” means.

Automated screening is most useful when an employer knows exactly what it needs and can reliably identify those qualifications. Problems arise when the system begins treating easily measurable characteristics as substitutes for actual ability.

A résumé may contain a job title, degree, certification, employment dates, and a collection of keywords. Those details are convenient for software to process. They are not necessarily the best evidence of whether someone will succeed in a particular job.

Consider two candidates for the same position. One has followed a conventional career path, accumulating recognizable job titles at well-known companies. The other changed industries, learned new skills independently, spent several years outside the........

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