In the Russian Federation, neural networks are being used en masse to prepare for job interviews
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- In the Russian Federation, neural networks are being used en masse to prepare for job interviews


More than half (62%) of Russians use neural networks and artificial intelligence (AI) to prepare cover letters and resumes when applying for a job, Gazeta.Ru reported on February 24, citing a study by the Jobs. ru service and AI-integrator WMT Group.
So. the most popular AI-tools for residents of Russia turned out to be models for content generation, such as ChatGPT, GigaChat and Writesonic.
"In second place are special AI tools for resume writing and improvement (Kickresume, Fix My Resume, Rezi and others). These were used by about 25% of job seekers surveyed. The least frequently (11%) job seekers used neural networks to prepare for job interviews, in particular, AI services for conducting test video interviews, evaluating speech and behavior when answering typical questions (InterviewGPT, Careers.ai, Huru.ai and others)," the survey results showed.
It is noted that the popularity of using such neural networks as ChatGPT, GigaChat is due to the fact that it solves specific tasks and questions of users, which significantly saves them time. In addition, they are easy to understand in use. With the help of such tools, one can quickly create a universal resume based on their skills, experience, and inquiries that does not need to be customized for any particular employer. This can be useful when a person sends a resume and response to multiple companies at once.
"The use of AI tools as a kind of "training" for a job interview deserves special attention. Such services simulate a job interview by asking questions and evaluating the user's answers in real time. Thus, the job seeker receives instant feedback, which allows him to adjust his speech and even behavior before the real interview. This helps candidates feel more confident, improves their soft-skills and reduces stress levels, thereby increasing the chances of a successful interview," said WMT Group HR-timeline Yulia Obrazova.
60% of Russians responded that they have a positive attitude to the use of AI to help in employment. However, half of the low shared the opinion that in such a case, such technologies should be used honestly in order not to allow neural networks to distort the real skills and competencies of the employee.
"At the same time, 22% of respondents said that AI tools do not help in any way in employment or can even prevent from getting an offer, and a part (18%) considers the use of AI dishonest. Nearly a quarter of professionals (20%) have found neural networks to be significantly helpful in their job search. In their opinion, thanks to the use of AI tools, they were able to successfully pass the interview and get the desired position. At the same time, 6% still noted the negative impact of neural networks - because of their use they were denied employment" - notes the edition.
The rest of the respondents reported that they did not notice the impact of neural networks on getting the desired job.
"The attitude of HR professionals to the use of AI by job seekers today remains ambiguous. Technology does not stand still, and candidates are increasingly resorting to the help of neural networks to improve their chances of employment. On the one hand, such tools help to create a more informative and concise resume and facilitate the search for relevant candidates. On the other hand, the use of AI tools raises the question of the reliability of information about a specialist. Unscrupulous job seekers can exaggerate real competencies and even "add" experience. <...> In the end it all comes down to a simple truth - getting an offer depends not only on the use of technology, but also on personal qualities, motivation and compliance of the applicant with the requirements of the employer," - concluded HR Obrazova.
On February 10, it became known that scammers began to spread viruses under the guise of neural networks. They are often distributed through phishing emails with attachments or links to malicious files. However, AI technology is also used by attackers to make emails more believable and undetectable to security services. Scammers are creating fake resources that mimic DeepSeek. For example, one such resource mimics a neural network authorization page, a senior content analyst at Kaspersky Lab is convinced.
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