Empowering the Workforce: A Review of AI-Driven HR Startups in Talent Management.

Abstract

Purpose: This paper seeks to give a general overview of literature on AI-driven HR systems and talent management, considering the influence of AI in HR practice, such as recruitment, performance management, and retention of employees.

Methodology: Literature review systematically selected studies from 2019 to 2024 were considered for conducting a study based on how the application of machine learning and predictive analytics, as parts of AI technology, have evolved into HR functions. It also assesses ethical implications related to bias through algorithms and data privacy along with the handling of emerging trends such as gig employment and workforce diversity through the role of AI.

Findings: AI has transformed HR through streamlined recruitment, improved employee engagement, and enhanced talent retention strategies. AI tools have contributed to personalized learning and diversity and inclusion initiatives. However, some challenges arise, including scalability in startups and ethical considerations as well as AI integration with emerging technologies.

Value: This research puts into perspective how AI is continually emerging to change HR and its associated practices. A greater exploration of some of the important issues, which include ethical concerns, scalability in terms of AI deployment, and changes that AI can cause in dynamics in the labor force, becomes essential.