TY - GEN
T1 - PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD
T2 - 18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025
AU - Lissitsa, Sabina
AU - Porat, Chen Sabag Ben
N1 - Publisher Copyright:
© 2025 Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. All rights reserved.
PY - 2025
Y1 - 2025
N2 - The rise of AI is reshaping labor markets and employability across generations. This study examines how AI competence, human capital, and social capital impact career resilience among Generations X, Y, and Z. Using a large-scale online survey (N=723) and hierarchical regression analysis, findings reveal that Generation X relies on professional networks, Generation Y balances AI skills and networking, while Generation Z struggles to translate AI proficiency into career benefits. These digital labor ruptures underscore the importance of both technological adaptation and social capital in employment outcomes. Policy recommendations highlight the need for AI upskilling programs, intergenerational learning, and structured career support to foster workforce resilience. By addressing generational differences and promoting adaptable career strategies, this research enhances understanding of employability in the AI-driven era.
AB - The rise of AI is reshaping labor markets and employability across generations. This study examines how AI competence, human capital, and social capital impact career resilience among Generations X, Y, and Z. Using a large-scale online survey (N=723) and hierarchical regression analysis, findings reveal that Generation X relies on professional networks, Generation Y balances AI skills and networking, while Generation Z struggles to translate AI proficiency into career benefits. These digital labor ruptures underscore the importance of both technological adaptation and social capital in employment outcomes. Policy recommendations highlight the need for AI upskilling programs, intergenerational learning, and structured career support to foster workforce resilience. By addressing generational differences and promoting adaptable career strategies, this research enhances understanding of employability in the AI-driven era.
KW - Generational Cohorts
KW - Human Capital
KW - Lifelong Learning
KW - Perceived Employability
KW - Social Capital
UR - http://www.scopus.com/inward/record.url?scp=105003163057&partnerID=8YFLogxK
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AN - SCOPUS:105003163057
T3 - Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025
SP - 490
EP - 493
BT - Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025
A2 - Nunes, Miguel Baptista
A2 - Isaias, Pedro
A2 - Powell, Philip
A2 - Kommers, Piet
A2 - Rodrigues, Luis
PB - IADIS
Y2 - 1 March 2025 through 3 March 2025
ER -