Abstract. This study examines the multifaceted impacts of emerging artificial intelligence (AI) advancements on the global workforce, striking a balance between worker equity and AI-driven efficiency. The primary objectives are to examine the impacts of AI on automation, skill requirements, job displacement, and ethical concerns, and to propose suitable AI integration techniques. This study identifies key trends and their effects by employing a comprehensive literature review of academic research, industry reports, and policy documents. The main findings show that while AI increases productivity through automation and skill augmentation, it also necessitates significant workforce reskilling and presents serious ethical challenges regarding bias, privacy, and job security. This study highlights the importance of flexible regulatory frameworks and the growing significance of lifelong learning programs. Key discoveries in ethical AI research, precise algorithms, fair labor standards, and a human-centered approach to AI integration are highlighted. Moreover, this research underscores the need for collaboration among governments, businesses, and universities to ensure a just and sustainable AI-driven workforce. Based on this research, proactive reskilling and rigorous ethical standards are essential for managing the transformative impacts of AI on the labor force.

Keywords: Artificial intelligence; Automation; Ethical AI; Job displacement; Workforce transformation.