Can AI Bridge the Productivity Gap of an Aging Workforce?

Authors

Maruša Bizjak Ferjan
University of Ljubljana, Faculty of Public Administration
https://orcid.org/0009-0002-0465-2201
Katja Debelak
University of Ljubljana, Faculty of Public Administration
https://orcid.org/0000-0002-7022-4849

Synopsis

The aging global workforce poses significant challenges for organizations striving to sustain productivity amidst the physical and cognitive decline associated with aging. Artificial intelligence (AI) emerges as a transformative tool, offering solutions to enhance the capabilities of older employees, automate routine tasks, and support informed decision-making. This paper explores the potential of AI to counteract productivity losses linked to workforce aging through a comprehensive review of existing research. It synthesizes insights on the effects of aging on employee productivity, examines how AI can complement and augment the contributions of older employees, and evaluates the broader implications of AI integration on organizational efficiency. By exploring exploring the interplay between AI’s potential and workforce aging and providing recommendations for inclusive AI implementation, the paper aims to contribute to the ongoing discourse on how AI can foster a sustainable, productive, and inclusive work environment in the face of demographic changes.

Author Biographies

Maruša Bizjak Ferjan, University of Ljubljana, Faculty of Public Administration

Maruša Bizjak Ferjan is a PhD student at the Faculty of Organizational Sciences, University of Maribor and a teaching assistant at the Faculty of Public Administration, University of Ljubljana. Her specialization and research interests are human resource management and AI adoption.

Ljubljana, Slovenia. E-mail: marusa.bizjak-ferjan@fu.uni-lj.si

Katja Debelak, University of Ljubljana, Faculty of Public Administration

Katja Debelak is a PhD student at the School of Economics and Business, University of Ljubljana and a teaching assistant at the Faculty of Public Administration. In 2018, Katja co-founded the Neuro Institute EQ, where she consults on leadership and organizational development. Her specialization and research interests are age management, management, leadership, organizational development, M&A, and emotional intelligence.

Ljubljana, Slovenia. E-mail: katja.debelak@fu.uni-lj.si

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Published

March 19, 2025

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

(Ed.). (2025). Can AI Bridge the Productivity Gap of an Aging Workforce?. In 44th International Conference on Organizational Science Development: Human Being, Artificial Intelligence and Organization, Conference Proceedings (Vols. 44, pp. 41-54). University of Maribor Press. https://press.um.si/index.php/ump/catalog/book/962/chapter/268