ISSN 2308-8559 e-ISSN 2415-8224

https://doi.org/10.62763/ef/3.2025.30

Volume 15, No. 3, 2025

30-40

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    • Artificial intelligence in recruitment: Challenges, opportunities and prospects for use in Ukraine

    Iryna Kinash Volodymyr Romanovych

    Received 05.05.2025, Revised 01.08.2025, Accepted 08.09.2025

    Abstract

    The purpose of the study was to analyse contemporary practices of using artificial intelligence in recruitment and to assess the effectiveness of these tools for future applications. It was substantiated that under the influence of digital technologies, activities related to the search and selection of personnel were being transformed. Artificial intelligence demonstrated the greatest efficiency in the processes of candidate screening, automated planning, interviewing, and collecting analytical personnel data. Ethical and legal aspects of using artificial intelligence were analysed, the distinctive features of traditional and artificial intelligence methods used at different stages of recruitment were summarised, the challenges of using artificial intelligence in recruitment were identified and solutions were proposed. The problems that occurred in companies that used AI in recruitment and the management decisions that helped to improve results were investigated. Results have demonstrated the following benefits of using artificial intelligence: saving time, improving candidate experience, and increasing overall recruiting efficiency. The study was conducted on the effectiveness of using various artificial intelligence tools for candidate assessment for the position of business analyst compared to human experts. It showed that advanced artificial intelligence tools (Claude, Grok, ChatGPT, Gemini) evaluated candidate profiles with a high level of agreement with human assessments (all p > 0.05), while screening more than 8 times faster – taking only 10 seconds compared to 2 minutes for a human. The potential of artificial intelligence for optimising hiring processes was confirmed. It was found that Ukraine was actively joining the global trends of HR digitisation. The share of Ukrainian companies that already used artificial intelligence recruitment reached 50.4%. The most popular were chatbots for the initial interview, candidate tracking systems with artificial intelligence elements, and tools for automatic skills testing. HR specialists in Ukraine considered the main challenges of artificial intelligence implementation to be the insufficient level of knowledge and expertise. The practical significance of the research lies in the possibility of its results being used by HR professionals, recruitment agencies, and company managers to improve the efficiency of hiring processes

    Keywords:

    selection of personnel; recruiting; HR automation; digitalisation of hiring; efficiency

    Suggested citation
    Kinash, I., & Romanovych, V. (2025). Artificial intelligence in recruitment: Challenges, opportunities and prospects for use in Ukraine. Economic Forum, 15(3), 30-40. https://doi.org/10.62763/ef/3.2025.30
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    References

    1. AI recruitment market: Global industry analysis and forecast (2024-2030). (2023). Maximize Market Research. Retrieved from https://www.maximizemarketresearch.com/market-report/global-ai-recruitment-market/63261/.
    2. Ali, O., & Kallach, L. (2024). Artificial intelligence enabled human resources recruitment functionalities: A scoping review. Procedia Computer Science, 232, 3268-3277. doi: 10.1016/j.procs.2024.02.142.
    3. Allal-Chérif, O., Aránega, A.Y., & Sánchez, R.C. (2021). Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence. Technological Forecasting and Social Change, 169, article number 120822. doi: 10.1016/j.techfore.2021.120822.
    4. Bankins, S., Jooss, S., Restubog, S.L.D., Marrone, M., Ocampo, A.C., & Shoss, M. (2024). Navigating career stages in the age of artificial intelligence: A systematic interdisciplinary review and agenda for future research. Journal of Vocational Behavior, 153, article number 104011. doi: 10.1016/j.jvb.2024.104011.
    5. Bennett, N., & Martin, C.L. (2025). AI as a talent management tool: An organizational justice perspective. Business Horizons, 68(3), 215-226. doi: 10.1016/j.bushor.2025.03.005.
    6. Complete guide to GDPR compliance. (n.d.). GDPR.EU. Retrieved from https://gdpr.eu/.
    7. Dai, K., & Liu, Q. (2024). Leveraging artificial intelligence (AI) in English as a foreign language (EFL) classes: Challenges and opportunities in the spotlight. Computers in Human Behavior, 159, article number 108354. doi: 10.1016/j.chb.2024.108354.
    8. David, M. (2025). Real-life examples of AI-driven candidate screening. MiHCM. Retrieved from https://mihcm.com/resources/blog/real-life-examples-of-ai-driven-candidate-screening/.
    9. Ebrahim, S.S., & Rajab, H.A. (2025). The future of HR: The role of AI-powered recruitment in shaping the modern workforce. Open Access Library Journal, 12, article number e12770. doi: 10.4236/oalib.1112770.
    10. El Ouakili, O. (2025). The impact of artificial intelligence (AI) on recruitment process. Open Journal of Business and Management, 13(2), 749-762. doi: 10.4236/ojbm.2025.132039.
    11. Electrolux Group digitalizes key HR processes for distinct hiring edge. (2023). Phenom People, Inc. Retrieved from https://assets.phenom.com/hubfs/02_Assets/casestudy/230502_EN-CS_Electrolux_PhenomSuccess.pdf.
    12. Gupta, P., Lakhera, G., & Sharma, M. (2024). Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction. The Journal of High Technology Management Research, 35(2), article number 100520. doi: 10.1016/j.hitech.2024.100520.
    13. Hoichuk, V., & Lyubomudrova, N. (2023). Application of artificial intelligence for the development of the human capital of the organization. Digital Economy and Economic Security, 8, 67-73. doi: 10.32782/dees.8-12.
    14. Horodyski, P. (2023a). Applicants’ perception of artificial intelligence in the recruitment process. Computers in Human Behavior Reports, 11, article number 100303. doi: 10.1016/j.chbr.2023.100303.
    15. Horodyski, P. (2023b). Recruiter’s perception of artificial intelligence (AI)-based tools in recruitment. Computers in Human Behavior Reports, 10, article number 100298. doi: 10.1016/j.chbr.2023.100298.
    16. Kravchuk, O., Varis, I., & Pierkova, M. (2023). Modern practices of using artificial intelligence for digitalization of recruitment. Problems of Modern Transformations. Series: Economics and Management, 8. doi: 10.54929/2786-5738-2023-8-04-06.
    17. Kumar, N. (2025). AI recruitment statistics 2025 (Worldwide data & insights). DemandSage. Retrieved from https://www.demandsage.com/ai-recruitment-statistics/.
    18. Kvitoslava Maksymiv. (n.d.). LinkedIn. Retrieved from https://www.linkedin.com/in/kvitoslava-maksymiv/. 
    19. LinkedIn enters AI agent race with LinkedIn hiring assistant. (2024). Josh Bersin. Retrieved from https://joshbersin.com/2024/10/linkedin-enters-ai-agent-race-with-linkedin-hiring-assistant/.
    20. Lobosco, M. (2024). See the early impact of LinkedIn’s AI tools for recruiters. LinkedIn. Retrieved from https://www.linkedin.com/business/talent/blog/talent-acquisition/early-impact-of-linkedin-ai-tools-for-recruiters.
    21. March 2025 recruitment insights: AI, hiring trends & career growth. (2025). Waytogo Consultants. Retrieved from https://www.linkedin.com/pulse/march-2025-recruitment-insights-ai-hiring-trends-career-2mbjf.
    22. Mariana Beznosova. (n.d.). LinkedIn. Retrieved from https://www.linkedin.com/in/mariana-beznosova-638a9081/.
    23. Order of the Cabinet of Ministers of Ukraine No. 1556-r “On Approval of the Concept of Artificial Intelligence Development in Ukraine”. (2020, December). Retrieved from https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text.
    24. Rigotti, C., & Fosch-Villaronga, E. (2024). Fairness, AI & recruitment. Computer Law & Security Review, 53, article number 105966. doi: 10.1016/j.clsr.2024.105966.
    25. Rukadikar, A., Khandelwal, K., & Warrier, U. (2025). Reimagining recruitment: Traditional methods meet AI interventions – a 20-year assessment (2003-2023). Cogent Business & Management, 12(1), article number 2454319. doi: 10.1080/23311975.2025.2454319.
    26. Sichkar, A. (2025). Is Ukraine ready for full-fledged regulation of artificial intelligence? Under what conditions is this possible? Mind.ua. Retrieved from https://mind.ua/openmind/20287391-chi-gotova-ukrayina-do-povnocinnogo-regulyuvannya-shi.
    27. Skibska, K. (2023). The use of artificial intelligence tools in recruitment. Galician Economic Journal, 83(4), 114-121. doi: 10.33108/galicianvisnyk_tntu2023.04.114.
    28. Soleimani, M., Intezari, A., & Pauleen, D.J. (2022). Mitigating cognitive biases in developing AI-assisted recruitment systems: A knowledge-sharing approach. International Journal of Knowledge Management, 18(1), 1-18. doi: 10.4018/IJKM.290022.
    29. Sophia Ishchiv. (n.d.). LinkedIn. Retrieved from https://www.linkedin.com/in/sophiaishchiv/.
    30. Szandała, T. (2025). ChatGPT vs human expertise in the context of IT recruitment. Expert Systems with Applications, 264, article number 125868. doi: 10.1016/j.eswa.2024.125868.
    31. Tenakwah, E.S., & Watson, C. (2025). Embracing the AI/automation age: Preparing your workforce for humans and machines working together. Strategy & Leadership, 53(1), 32-48. doi: 10.1108/SL-05-2024-0040.
    32. Thomas, J. (2020). How Brother International Corporation reinvented its employer brand with phenom career site, CMS & hosted apply. Phenom. Retrieved from https://www.phenom.com/blog/how-brother-international-corporation-reinvented-its-employer-brand.
    33. Tusquellas, N., Palau, R., & Santiago, R. (2024). Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review. International Journal of Information Management Data Insights, 4(2), article number 100288. doi: 10.1016/j.jjimei.2024.100288.
    34. Zhang, C., Li, S., Liu, Y., Li, Y., & Zhu, J. (2025). Artificial intelligence recruitment – a literature review based on equity and efficiency perspectives. Journal of Human Resource Development, 7(1), 15-21. doi: 10.23977/jhrd.2025.070103.
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