Home // DIGITAL 2025, Advances on Societal Digital Transformation // View article
Authors:
Paul Simbarashe Mupfiga
Dzinaishe Mpini
Maxmillan Giyane
Keywords: artificial intelligence; human-AI collaboration; labor market
Abstract:
The rapid advancement of artificial intelligence has ignited extensive debates regarding its impact on the workforce. A widely held assertion is that artificial intelligence replaces specific tasks within jobs rather than entire occupations. This paper critically examines this assertion by exploring empirical evidence from case studies of artificial intelligence implementations in the agriculture and healthcare sectors. A stratified purposive sampling method was employed to identify 21 use cases from five continents capturing diverse perspectives from all the different economy classifications. Of these 21 cases only 5 of the cases reviewed involved artificial intelligence tools that can fully replace human jobs, and the majority of them are from high income economies. The majority of the analysed 21 cases were not displacing existing jobs but addressing previously unmet needs. In instances were job displacement occurs, there is the opportunity for up-skilling suggesting new career opportunities for the humans. This paper contributes by giving insights from empirical evidence to employment policy makers, employers and educators necessary in preparing the workforce for the future.
Pages: 63 to 71
Copyright: Copyright (c) IARIA, 2025
Publication date: July 6, 2025
Published in: conference
ISBN: 978-1-68558-285-2
Location: Venice, Italy
Dates: from July 6, 2025 to July 10, 2025