Perceptions of artificial intelligence on the future of employees' job security in Africa: secondary data analysis
Year: 2025
Type: article
Study design: Systematic Review
Abstract: In the rapidly evolving digital era, introducing AI has become a pivotal factor across all organisational levels. However, the global proliferation of artificial intelligence has sparked immediate apprehension among the currently employed and those seeking employment. As we navigate the societal transformations of the twenty-first century, the dynamic interplay between AI and job security has risen as a crucial area of investigation within Human Resources Management research. This investigation delves into the global perceptions of artificial intelligence on the future of employees' job security in the workplace, a question of paramount importance in the current landscape. This study is a systematic review, with the data comprising previously published research articles, reports, and studies collected and analysed to gain comprehensive insights. The systematic literature review was conducted in five steps: developing explicit questions for critique, collecting and categorising data, evaluating, summarising evidence, and discussing. The process necessitated retrieving data from various databases, including Scopus, Sabinet, Science Direct and Elicit. The research adhered to the PRISMA guidelines, a widely accepted framework for conducting systematic reviews, to ensure methodological rigour and transparency in the research process. The findings offer mixed perceptions of artificial intelligence on future employees' job security in Africa. The study provides themes in relation to how employees in the African affiliation view the integration of AI in the workplace: Future uncertainties, Role of AI in HR Practices, Employee well-being, training and development, Positive attitudes towards AI and job opportunities. The investigation highlighted AI challenges and opportunities in Africa, making sense of why employees do not trust the introduction of AI, as it is perceived as a threat to their jobs. It offers valuable guidelines for decision-makers in Africa to ensure that AI is utilised legally and ethically and that steps are in place to mitigate employment losses.
Authors: Godfrey Maake, Esabel Mathekgane
Institution: Tshwane University of Technology
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410035994