IMPACT OF ARTIFICIAL INTELLIGENCE ON WORKFORCE DEVELOPMENT: ADAPTING SKILLS, TRAINING MODELS, AND EMPLOYEE WELL-BEING FOR THE FUTURE OF WORK

Authors

  • Muhammad Mudaber Jamshaid
  • Ahmed Hassaan
  • Zeeshan Akbar
  • Muhammad Nouman Siddique
  • Sikander Niaz

Keywords:

artificial intelligence, future of work, well-being, mental health, job satisfaction, skills

Abstract

This study uses longitudinal survey data from Germany (2000-2020) to investigate the link between artificial intelligence (AI) and workers' mental health and well-being. To compare AI-exposed and non-exposed workers, we develop a measure of individual exposure to AI technology based on the occupation in which people in our sample were initially engaged. We also investigate an event study design and a difference-in-differences technique. There is no proof of distinct pre-trends in workers' well-being and worries about their financial fate before the widespread availability of AI. However, since 2015, as AI has become more widely used in German businesses, we have seen that workers exposed to AI are less content with their lives and careers and more worried about their financial status and job security.  However, there is little proof that AI significantly affects employees' mental health, anxiety, or sadness.

Downloads

Published

2024-04-27

How to Cite

Muhammad Mudaber Jamshaid, Ahmed Hassaan, Zeeshan Akbar, Muhammad Nouman Siddique, & Sikander Niaz. (2024). IMPACT OF ARTIFICIAL INTELLIGENCE ON WORKFORCE DEVELOPMENT: ADAPTING SKILLS, TRAINING MODELS, AND EMPLOYEE WELL-BEING FOR THE FUTURE OF WORK. Spectrum of Engineering Sciences, 2(1). Retrieved from https://thesesjournal.com/index.php/1/article/view/1417