Employers in the U.S. and other regions are increasingly using artificial intelligence systems to conduct first-round job interviews [1, 2].

This shift changes how candidates enter the workforce by replacing human interaction with algorithmic screening during the initial phase of hiring. The move represents a fundamental change in the recruitment pipeline, moving the first point of contact from a recruiter to a software program.

Companies are adopting these AI hiring platforms to efficiently screen large volumes of applications [3, 4]. By using bots to handle the first round of questioning, firms aim to standardize the interview process and reduce the time spent on manual screening [3, 4].

Job applicants who have been shortlisted by employers are now finding that their first interaction is not with a person, but with an AI interface [1, 2, 5]. These systems analyze candidate responses to determine who should move forward to subsequent rounds of human-led interviews [2, 4].

While the technology offers speed for the employer, some candidates have reported difficulties in landing interviews or navigating these automated systems [5]. The reliance on AI for early-stage vetting means that a candidate's ability to perform for an algorithm may now be as important as their professional qualifications [4, 5].

As more firms integrate these tools, the nature of job preparation is evolving. Some candidates are now using AI themselves to prepare for the specific patterns and requirements of AI-driven interviews [4].

First-round job interviews are being conducted by artificial-intelligence systems rather than human interviewers.

The transition to AI-led initial interviews suggests a broader corporate trend toward prioritizing efficiency and standardization over qualitative human judgment in early hiring stages. This creates a new barrier for applicants who may possess the necessary skills but struggle with the specific data markers AI systems are programmed to identify, potentially narrowing the diversity of candidates who reach human interviewers.