Chummun, Bibi Zaheenah.Proches, Cecile Gerwel.Rajcoomar, Avikar.2025-10-312025-10-3120242024https://hdl.handle.net/10413/24010Masters Degree. University of KwaZulu-Natal, Durban.The study investigated the adoption, implementation, and impact of Artificial Intelligence (AI) in Human Resource Management (HRM) within a Durban, South Africa, manufacturing company. Following a qualitative research approach by conducting semi-structured interviews, the study, as per its research objectives, examines three areas: the current state of AI adoption, opportunities and challenges of implementation, and AI's impact on critical HRM functions. The study found that AI adoption in Durban's manufacturing industry is still in its early stages, with a significant technology deficit compared to global business. Three major areas of AI use was discovered: formalised recruitment and selection processes, administrative automation, and unofficial usage of generative AI tools by Human Resources (HR) professionals. The study found that adoption rates vary greatly depending on organisational size and resource availability, with large multinational corporations having higher implementation rates. Opportunities for AI applications include increased HR process efficiency, improved recruitment outcomes, and data-driven decision-making skills. However, challenges include concerns about accuracy and reliability, adherence to South Africa's Protection of Personal Information Act (POPIA), and cultural sensitivity. Ethical considerations were critical when implementing AI; Data protection, human oversight, and transparency in AI implementation are significant factors. The study revealed AI's considerable impact on four HRM functions: recruitment and selection, performance management, learning and development, and employee engagement. The shift from traditional monthly reviews to continuous, data-driven assessments marks a fundamental change in performance management approaches. The research emphasised the necessity of encouraging positive attitudes towards AI adoption through open communication, openness, and comprehensive training programs. The study contributes to understanding AI integration in HRM within South African manufacturing. It provides valuable insights for organisations planning to implement AI solutions while considering their unique contextual challenges and opportunities.enCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/Artificial Intelligence.Human Resources Management.Manufacturing.South Africa.Digital Transformation.Thesis