PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z

Sabina Lissitsa; Chen Sabag Ben Porat

PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z

Sabina Lissitsa, Chen Sabag Ben Porat

Ariel University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025
Editors	Miguel Baptista Nunes, Pedro Isaias, Philip Powell, Piet Kommers, Luis Rodrigues
Publisher	IADIS
Pages	490-493
Number of pages	4
ISBN (Electronic)	9789898704658
State	Published - 2025
Externally published	Yes
Event	18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025 - Madeira Island, Portugal Duration: 1 Mar 2025 → 3 Mar 2025

Publication series

Name	Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025

Conference

Conference	18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025
Country/Territory	Portugal
City	Madeira Island
Period	1/03/25 → 3/03/25

Bibliographical note

Publisher Copyright:
© 2025 Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. All rights reserved.

Keywords

Generational Cohorts
Human Capital
Lifelong Learning
Perceived Employability
Social Capital

Cite this

Lissitsa, S., & Porat, C. S. B. (2025). PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z. In M. B. Nunes, P. Isaias, P. Powell, P. Kommers, & L. Rodrigues (Eds.), Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025 (pp. 490-493). (Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025). IADIS.

Lissitsa, Sabina ; Porat, Chen Sabag Ben. / PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD : LIFELONG LEARNING FOR GENERATIONS X, Y AND Z. Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. editor / Miguel Baptista Nunes ; Pedro Isaias ; Philip Powell ; Piet Kommers ; Luis Rodrigues. IADIS, 2025. pp. 490-493 (Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025).

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abstract = "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.",

keywords = "Generational Cohorts, Human Capital, Lifelong Learning, Perceived Employability, Social Capital",

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Lissitsa, S & Porat, CSB 2025, PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z. in MB Nunes, P Isaias, P Powell, P Kommers & L Rodrigues (eds), Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025, IADIS, pp. 490-493, 18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025, Madeira Island, Portugal, 1/03/25.

PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z. / Lissitsa, Sabina; Porat, Chen Sabag Ben.
Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. ed. / Miguel Baptista Nunes; Pedro Isaias; Philip Powell; Piet Kommers; Luis Rodrigues. IADIS, 2025. p. 490-493 (Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Lissitsa S, Porat CSB. PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z. In Nunes MB, Isaias P, Powell P, Kommers P, Rodrigues L, editors, Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. IADIS. 2025. p. 490-493. (Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025).

PERCEIVED EMPLOYABILITY IN AN AI-DRIVEN WORLD: LIFELONG LEARNING FOR GENERATIONS X, Y AND Z

Abstract

Publication series

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Bibliographical note

Keywords

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