Outlining Negative Effects of Using AI in Recruitment and Job Applications - Specific Study in Romanian Jobs Market
Paul-Tiberius Coman () and
Alina Filip ()
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Paul-Tiberius Coman: The Bucharest University of Economic Studies
Alina Filip: The Bucharest University of Economic Studies
Journal of Emerging Trends in Marketing and Management, 2026, vol. 1, issue 2, 7-13
Abstract:
The year 2025 was a milestone for the development of artificial intelligence as we can see a rapid increase of models released by many artificial intelligence vendors like Open AI, Anthropic`s Claude, Grok, Groq, Meta AI and many more. At the same time, with an increased access for anyone that has a computer and internet access and, in some scenarios even as self hosted applications, we identified a so-called process named “democratization of AI†. It`s already a widely anticipated and well-known fact that AI will shape how we work and how we will perform better and faster by doing some tasks using automated processes. The next logical questions would be: can we rely on AI when applying to a job? Are applying to jobs or filtering candidates using AI ethical? What happens if candidates use AI to apply to jobs and companies use Ai at the same time to filter them? We may observe on different recruiting platforms that many job descriptions seem to be made using artificial intelligence. The research paper is based on data collection through observation regarding how many automation platforms exist regarding curriculum vitae generation, job application, candidates filtering or job matching. On a qualitative level, our conducted research is a pioneer kind of work since most of the other papers outline using AI in a positive light. Our results showed many negative impacts that must raise some signals of concern regarding how companies communicate their open positions, how they recruit and filter candidates and how candidates are applying to jobs.
Keywords: AI recruitment; employee attraction; candidates AI selection. (search for similar items in EconPapers)
JEL-codes: M31 M54 O33 (search for similar items in EconPapers)
Date: 2026
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