Navigating career stages in the age of artificial intelligence: A systematic interdisciplinary review and agenda for future research

Sarah Bankins, Stefan Jooss, Simon Lloyd D. Restubog, Mauricio Marrone, Anna Carmella Ocampo, Mindy Shoss

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

As artificial intelligence (AI) use expands within organizations, its influence is increasingly permeating careers and vocational domains. However, there is a notable lack of structured insights regarding AI's role in shaping individual career paths across career stages. To address this gap, we undertook a systematic literature review of 104 empirical articles, aiming to synthesize the scholarship on AI in the context of careers. Drawing upon career stage theory, we examine the implications of AI on careers, identify key barriers and enablers of AI use in this area, and reveal how the utilization of AI impacts individuals' career competencies. In doing so, we illustrate how AI actively shapes individuals' career trajectories and we dissect these effects both within and across various career stages to situate AI within the broader context of careers research. Adopting a sustainable career lens, we conclude by outlining a future research agenda that advocates for the design and adoption of AI systems that promote sustainable and equitable careers.

Original languageEnglish
Article number104011
JournalJournal of Vocational Behavior
Volume153
Early online date27 Jun 2024
DOIs
Publication statusPublished - 30 Sept 2024

Data Availability Statement

Data will be made available on request.

Keywords

  • Artificial intelligence
  • Career stages
  • Careers
  • Future of work
  • Sustainable careers
  • Vocational services

ASJC Scopus subject areas

  • Education
  • Applied Psychology
  • Organizational Behavior and Human Resource Management
  • Life-span and Life-course Studies

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