Can AI Bridge the Productivity Gap of an Aging Workforce?

Avtorji

Maruša Bizjak Ferjan
Univerza v Ljubljani, Fakulteta za upravo
https://orcid.org/0009-0002-0465-2201
Katja Debelak
Univerza v Ljubljani, Fakulteta za upravo
https://orcid.org/0000-0002-7022-4849

Kratka vsebina

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.

Biografije avtorja

Maruša Bizjak Ferjan, Univerza v Ljubljani, Fakulteta za upravo

Maruša Bizjak Ferjan je doktorska študentka na Fakulteti za organizacijske vede Univerze v Mariboru in asistentka na Fakulteti za javno upravo Univerze v Ljubljani. Njena specializacija in raziskovalni interesi so upravljanje človeških virov in uvajanje umetne inteligence.

Ljubljana, Slovenija. E-pošta: marusa.bizjak-ferjan@fu.uni-lj.si

Katja Debelak, Univerza v Ljubljani, Fakulteta za upravo

Katja Debelak je doktorska študentka na Ekonomski fakulteti Univerze v Ljubljani in asistentka na Fakulteti za javno upravo. Leta 2018 je Katja soustanovila Neuro Institute EQ, kjer svetuje na področju vodenja in organizacijskega razvoja. Njena specializacija in raziskovalni interesi so upravljanje starosti, management, vodenje, organizacijski razvoj, M&A in čustvena inteligenca.

Ljubljana, Slovenija. E-pošta: katja.debelak@fu.uni-lj.si

Prenosi

Izdano

19.03.2025

Kako citirati

(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). Univerzitetna založba Univerze v Mariboru. https://press.um.si/index.php/ump/catalog/book/962/chapter/268