
Companies use AI interviews to improve efficiency, and universities use AI simulation systems to help students adapt to new recruitment models
AI-generated summary
In the corporate recruitment process during the autumn recruitment season, AI interviewers are widely used in preliminary screening to improve efficiency. Colleges and universities are setting up AI simulation interview systems to help students adapt to this trend.
It’s the autumn recruitment season, and now more and more companies are introducing AI interviewers in the recruitment process to uniformly set questions, score in batches, and use algorithms to replace real people in the preliminary screening of job applicants.
Is the screening of this kind of technology interview accurate? Many job seekers who have had AI interview experience feel there is a lack of interaction, but AI interviewers are still favored by companies for their super high work efficiency. So in the face of the popularity of AI interviews, how should universities and students respond to avoid being misjudged by algorithms?
During this year’s autumn recruitment period, Feng Yifei, a graduate of Xi’an University of Posts and Telecommunications majoring in transportation, participated in multiple job interviews one after another. Many companies have included AI interviewers in the recruitment process.
According to Feng Yifei, most AI interviews are arranged after online application. Job seekers submit their resumes, and the employer immediately sends an AI interview link.
Compared with real-person interviews, which can easily make people nervous, Feng Yifei feels that facing AI interviewers is relatively less stressful. Hu Yanran, a graduate of Shanghai International Studies University who also participated in many AI interviews this fall, believes that AI interviews are more flexible in time, but they also have some limitations.
Hu Yanran said that for example, in the process of digging into resumes, AI is not particularly flexible in its analysis and understanding of personal experience. It will only repeatedly ask questions around some details based on its understanding of your basic majors, and its logic is not particularly coherent. In contrast, she believes that a real interviewer can adjust the direction of questions in a timely manner based on his personal experience and the applicant's answers.
There are many graduates who have similar feelings to Hu Yanran. They feel that the AI interview lacks interaction and they cannot understand the benefits, development prospects and other details they want to know through communication. However, AI interviewers are still favored by many companies for their ultra-high work efficiency.
Many companies have reported that AI interviewers can complete far more interviews in one day than manual interviews, and the time is flexible, which can save companies manpower and time costs. At the same time, they can also conduct standardized questions and answers for job seekers, reduce subjective bias, and be more fair.
The 2027 autumn campus recruitment announcements released by many banks this year show that AI interviews have been included in the autumn recruitment process. Faced with the popularity of AI interviews, in order to reduce graduates’ nervousness and discomfort during the job search process and reduce the misjudgment of job seekers by algorithms. Many colleges and universities have kept pace with the times and invited AI interviewers to campus to help students better adapt to changes in job search models.
For example, China Agricultural University, China University of Petroleum, etc. have set up "AI learning cabins" on campus to provide services such as AI mock interviews, oral practice, and career planning. Zhang Xiaowen, director of the College Student Employment Guidance Center of Shandong Agricultural University, said that our school has established an AI empowerment system that covers the entire job search process and is open to all current students. The core AI interview training system provides a large number of real questions and 1:1 high-simulation simulation, accurately solving the students' pain points of "fear of the camera" and "not understanding the logic of answering questions". The system will score from multiple dimensions such as speaking speed, expression, logic, etc. and generate a review report. Through repeated practice, the students checked for omissions and filled in the gaps, and their interview confidence and actual passing rate were significantly improved. Coupled with front-end career planning, resume production, employment bridge and AI instructors, this comprehensive and cutting-edge system achieves all-round job search empowerment.

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