Redefining employer branding metrics: integrating Gen Z expectations and AI-powered sentiment analysis in the digital hiring landscape

Purpose This paper aims to explore how Generation Z’s unique expectations are reshaping employee value propositions (EVPs) and how AI-powered sentiment analysis provides real-time insights into employer brand perception. It identifies limitations of traditional employer branding metrics and proposes a dynamic, data-driven approach. Design/methodology/approach This qualitative research uses a comprehensive literature review, semi-structured interviews with HR professionals and Gen Z employees, and AI-powered sentiment analysis of social media, employer review sites and online forums to assess real-time employer brand perception. Findings Traditional employer branding metrics are insufficient to capture Gen Z’s expectations and digital interactions’ influence on brand perception. Gen Z values authenticity, social responsibility, diversity, inclusion and continuous learning. AI-powered sentiment analysis provides immediate, granular insights enabling proactive employer branding strategies. Research limitations/implications Generalizability may be limited by specific industries studied. AI sentiment analysis requires human oversight for context interpretation. Long-term studies are needed to assess sustained impact. Practical implications The research provides actionable strategies for HR professionals to integrate Gen Z expectations into EVP development and adopt AI tools for continuous brand monitoring, enabling data-driven recruitment and retention strategies. Social implications This research fosters transparent employer–candidate relationships and encourages organizations to integrate social responsibility values, potentially creating more equitable work environments. Originality/value This paper uniquely addresses the intersection of Gen Z expectations, digital hiring landscapes and AI-powered sentiment analysis, proposing a dynamic approach to employer brand management.