---
_id: '63181'
abstract:
- lang: eng
  text: "<jats:sec>\r\n                    <jats:title>Purpose</jats:title>\r\n                    <jats:p>This
    study aims to explore the current state of generative artificial intelligence
    (genAI) in the workplace and discuss a potential digital divide in relation to
    genAI.</jats:p>\r\n                  </jats:sec>\r\n                  <jats:sec>\r\n
    \                   <jats:title>Design/methodology/approach</jats:title>\r\n                    <jats:p>Using
    a quantitative approach, we study career-relevant predictors – family socio-economic
    status, education and work characteristics – and their relationship with different
    indicators of digital divide – access, genAI use, attitude toward AI and perceived
    AI literacy. To test our hypothesis, we used logistic and linear regression analyses.
    Additionally, latent profile analysis was conducted to identify patterns regarding
    work characteristics within the sample.</jats:p>\r\n                  </jats:sec>\r\n
    \                 <jats:sec>\r\n                    <jats:title>Findings</jats:title>\r\n
    \                   <jats:p>Among the 1,341 participants, 326 individuals were
    genAI users. Our results show that higher family socio-economic status, education
    and enriched and demanding work can be linked to a more positive attitude toward
    AI and higher perceived AI literacy. In the case of access and frequency of use,
    the results were mixed.</jats:p>\r\n                  </jats:sec>\r\n                  <jats:sec>\r\n
    \                   <jats:title>Originality/value</jats:title>\r\n                    <jats:p>Our
    findings offer a novel contribution by examining a potentially upcoming digital
    divide in the case of genAI. We focus on how the career adaptation of the workforce
    might develop in the age of genAI. Importantly, we highlight that not all individuals
    may have an equal opportunity to adapt to genAI, which could hinder their future
    career development and reinforce patterns of inequality. Future research should
    address how to promote inclusivity and consider individual differences in adapting
    to genAI.</jats:p>\r\n                  </jats:sec>"
author:
- first_name: Katharina
  full_name: Neufeld, Katharina
  last_name: Neufeld
- first_name: Sandra
  full_name: Ohly, Sandra
  last_name: Ohly
- first_name: Didem
  full_name: Sedefoglu-Ulucak, Didem
  last_name: Sedefoglu-Ulucak
- first_name: Isabel
  full_name: Steinhardt, Isabel
  id: '90339'
  last_name: Steinhardt
  orcid: https://orcid.org/0000-0002-2590-6189
- first_name: Sylvi
  full_name: Mauermeister, Sylvi
  id: '98032'
  last_name: Mauermeister
citation:
  ama: Neufeld K, Ohly S, Sedefoglu-Ulucak D, Steinhardt I, Mauermeister S. Analyzing
    the role of family socio-economic status, education and work characteristics in
    times of generative artificial intelligence and digital divide. <i>Career Development
    International</i>. Published online 2025:1-19. doi:<a href="https://doi.org/10.1108/cdi-10-2024-0442">10.1108/cdi-10-2024-0442</a>
  apa: Neufeld, K., Ohly, S., Sedefoglu-Ulucak, D., Steinhardt, I., &#38; Mauermeister,
    S. (2025). Analyzing the role of family socio-economic status, education and work
    characteristics in times of generative artificial intelligence and digital divide.
    <i>Career Development International</i>, 1–19. <a href="https://doi.org/10.1108/cdi-10-2024-0442">https://doi.org/10.1108/cdi-10-2024-0442</a>
  bibtex: '@article{Neufeld_Ohly_Sedefoglu-Ulucak_Steinhardt_Mauermeister_2025, title={Analyzing
    the role of family socio-economic status, education and work characteristics in
    times of generative artificial intelligence and digital divide}, DOI={<a href="https://doi.org/10.1108/cdi-10-2024-0442">10.1108/cdi-10-2024-0442</a>},
    journal={Career Development International}, publisher={Emerald}, author={Neufeld,
    Katharina and Ohly, Sandra and Sedefoglu-Ulucak, Didem and Steinhardt, Isabel
    and Mauermeister, Sylvi}, year={2025}, pages={1–19} }'
  chicago: Neufeld, Katharina, Sandra Ohly, Didem Sedefoglu-Ulucak, Isabel Steinhardt,
    and Sylvi Mauermeister. “Analyzing the Role of Family Socio-Economic Status, Education
    and Work Characteristics in Times of Generative Artificial Intelligence and Digital
    Divide.” <i>Career Development International</i>, 2025, 1–19. <a href="https://doi.org/10.1108/cdi-10-2024-0442">https://doi.org/10.1108/cdi-10-2024-0442</a>.
  ieee: 'K. Neufeld, S. Ohly, D. Sedefoglu-Ulucak, I. Steinhardt, and S. Mauermeister,
    “Analyzing the role of family socio-economic status, education and work characteristics
    in times of generative artificial intelligence and digital divide,” <i>Career
    Development International</i>, pp. 1–19, 2025, doi: <a href="https://doi.org/10.1108/cdi-10-2024-0442">10.1108/cdi-10-2024-0442</a>.'
  mla: Neufeld, Katharina, et al. “Analyzing the Role of Family Socio-Economic Status,
    Education and Work Characteristics in Times of Generative Artificial Intelligence
    and Digital Divide.” <i>Career Development International</i>, Emerald, 2025, pp.
    1–19, doi:<a href="https://doi.org/10.1108/cdi-10-2024-0442">10.1108/cdi-10-2024-0442</a>.
  short: K. Neufeld, S. Ohly, D. Sedefoglu-Ulucak, I. Steinhardt, S. Mauermeister,
    Career Development International (2025) 1–19.
date_created: 2025-12-17T09:07:27Z
date_updated: 2026-02-20T11:21:28Z
ddc:
- '300'
department:
- _id: '121'
doi: 10.1108/cdi-10-2024-0442
file:
- access_level: closed
  content_type: application/pdf
  creator: isste
  date_created: 2025-12-17T09:10:18Z
  date_updated: 2025-12-17T09:10:18Z
  file_id: '63182'
  file_name: 2025 Neufeld et al. DD Family Career.pdf
  file_size: 718834
  relation: main_file
  success: 1
file_date_updated: 2025-12-17T09:10:18Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.emerald.com/cdi/article/doi/10.1108/CDI-10-2024-0442/1310335
oa: '1'
page: 1-19
publication: Career Development International
publication_identifier:
  issn:
  - 1362-0436
  - 1758-6003
publication_status: published
publisher: Emerald
quality_controlled: '1'
status: public
title: Analyzing the role of family socio-economic status, education and work characteristics
  in times of generative artificial intelligence and digital divide
type: journal_article
user_id: '90339'
year: '2025'
...