The integration of artificial intelligence (AI) into the labor market is accelerating the demand for new skills and lifelong learning. This study examines how AI competence, human capital, and social capital influence perceived employability across Generations X, Y, and Z. Drawing on data from a national online survey (N=723) and hierarchical regression analysis, we identify distinct generational patterns in the drivers of employability. Among Generation Y, human capital variables—particularly AI competence and education—are positively associated with employability, suggesting that lifelong learning and active upskilling are central to their career advancement. In contrast, among Generations X and Z, AI competence and education show no significant association with employability. Instead, social capital emerges as the primary contributor for both groups, albeit for different reasons: Gen X draws on professional networks to maintain relevance in the face of lower technological proficiency, while Gen Z compensates for limited work experience with relational resources. These findings suggest that although lifelong learning is crucial for mid-career professionals (Gen Y), it is insufficient alone for early-career entrants (Gen Z), who require structural support, and less impactful for late-career workers (Gen X), who rely on accumulated experience and relationships. The study highlights the differentiated roles of human and social capital in navigating AI-driven labor markets and calls for generation-specific interventions—such as targeted upskilling, mentoring, and transition programs—that promote equitable employability across the life course.

Authors:
Sabina Lissitsa, Ariel University, Israel
Chen Sabag- Ben Porat, Ariel University, Israel

About the Presenter(s)
Prof. Sabina Lissitsa is a Full Professor and Chair of the School of Communication at Ariel University. Her research lies at the intersection of media studies, digital inequality, and social integration.

See this presentation on the full schedule – Sunday Schedule

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