From resistance to readiness : driving blue-collar workers’ artificial intelligence adoption

Abstract

Although artificial intelligence (AI)-driven technologies offer opportunities to improve efficiency and streamline government services, skepticism and job displacement concerns remain prevalent among frontline workers. Drawing on a survey of 205 respondents in quarter four of 2024, this study examines the factors driving AI resistance, the role of policy interventions, and the strategies available to bridge the digital gap for inclusive AI adoption in government in Africa. The findings show that blue-collar government employees have moderate awareness of AI’s potential but strong resistance, driven by fears of redundancy, low AI literacy, and limited upskilling opportunities. Older workers appear more resistant, while younger employees seem more open to adoption. Although employees recognized AI’s ability to improve service delivery, they opposed automation of routine tasks and criticized theoretical, nonpractical training. The study recommends structured AI literacy and hands-on training programs, alongside a centralized governance framework to ensure ethical, context-sensitive adoption.