Industry 5.0 revolutionizes manufacturing with its focus on people, sustainability and resilience blending new production technology with the human element to the production process. Where Industry 4.0 focused on automating to the exclusion of all else, Industry 5.0 focuses on the human element, such as including artificial intelligence, collaborative robots, and decision-making support systems while still retaining organizational accountability and responsibility for outcomes. This research problem examines workforce management challenges in the age of production and technology versus automation. A qualitative, descriptive analysis of peerreviewed and published literature identified the research problem between 2022 and 2026. Challenges identified in the literature included skills mismatch, machine collaboration, trust and transparency in AI, reluctance to change, and finding workable management policies. The implications of these findings suggest that workforce management policies moving into an Industry 5.0 environment should have continuous skills training, flexible skills training, and robust AI ethics policies to manage challenges effectively. This research study presents a management strategy framework and roadmap for future research on performance management of the workforce, industry-specific research, and human-AI collaboration metrics.