Core Viewpoint - The rise of AI interviews in 2025 has transformed the recruitment landscape, becoming a standard practice for many companies, particularly in campus recruitment, but it has also led to discomfort among job seekers due to its impersonal nature and technical shortcomings [1][2][5]. Group 1: Job Seekers' Experience - Job seekers report a lack of comfort and respect during AI interviews, often feeling that the technology fails to understand their resumes and responses, leading to frustration [1][2]. - Candidates are forced to adapt their responses to fit AI preferences, using specific keywords and structured answers to ensure comprehension, which detracts from genuine self-expression [3][5]. - The pressure to perform well in AI interviews has created a sense of anxiety among candidates, who feel they must conform to machine expectations to secure job opportunities [3][9]. Group 2: Employers' Perspective - Companies are increasingly adopting AI interviews to enhance efficiency, reduce costs, and standardize the evaluation process, with some HR professionals noting a significant increase in the number of applications that need to be screened [5][8]. - AI interviews can save at least one-third of initial screening costs and streamline the assessment process, providing a uniform scoring system that minimizes subjective bias [5][8]. - However, there are concerns about the quality of candidates selected through AI, as the technology may overlook essential human traits such as communication and empathy, potentially leading to the loss of talented individuals [6][8]. Group 3: Industry Insights - The demand for AI interviews is particularly high among traditional large enterprises and tech companies, which face a large volume of applications and are focused on implementing AI technologies [8]. - The key benefits of AI interviews include cost reduction, efficiency improvement, and standardization, which are critical for modern recruitment processes [8]. - Despite the advantages, limitations such as misinterpretation of resumes and abrupt question changes highlight the need for ongoing optimization of AI systems, suggesting that human oversight should remain a component of the interview process [8][9].