Artificial Intelligence in Talent Acquisition: A Systematic Review of Intelligent Recruitment Systems and Emerging Trends

Artificial Intelligence, Talent Acquisition, Industry 4.0, Human Resource Management, Machine Learning, Natural Language Processing, Large Language Models, Generative AI, Agentic AI, Predictive Analytics, Talent Analytics, Systematic Literature Review.

With the fast development of Artificial Intelligence (AI) technology, the recruitment process has become more effective with automated recruitment processes, higher hiring accuracy and strategic workforce planning for companies working under Industry 4.0. The use of AI technologies such as Machine Learning, Natural Language Processing, Predictive Analytics, Generative AI, Large Language Models (LLMs), Agentic AI, Resume Parsing, and chatbots provides more efficiency in the recruitment process, lower costs and better candidate experience. Challenges regarding AI use include algorithmic bias, lack of transparency, explainability, privacy issues, and ethical governance among others. This Systematic Literature Review (SLR) will explore the role of AI in talent acquisition through an analysis of 23 peer-reviewed studies written from 2022 to 2026 applying the PRISMA methodology. It will analyze the impact of AI on the recruiting process considering its application in resume screening, candidate matching, interview scheduling, talent analytics, predictive hiring, and workforce planning. Emerging trends in Generative AI, LLMs in recruitment and Agentic AI will be considered as well.