Abstract- This literature review explores the role of Generative AI in workforce development, education, and business management, with a focus on AI-driven reskilling, higher education transformations, labor market shifts, and business intelligence advancements. By analyzing 25 recent studies, this paper categorizes key themes and presents a structured evaluation of AI’s current impact and future potential. The review aims to identify measurable findings, research gaps, and areas for further investigation, offering a foundation for understanding how AI is reshaping economic and professional landscapes. The study is structured around four core themes: (1) AI in Workforce and Labor Market, (2) AI in Education and Skill Development, (3) AI in Business and Industry, and (4) Ethical and Societal Implications. Each section synthesizes quantitative findings and projections, assessing AI's role in automation, job displacement, skill augmentation, and emerging employment opportunities. The review highlights how AI is redefining traditional labor structures, increasing efficiency while also raising concerns about workforce displacement. The review identifies gaps in existing research, particularly in quantifying AI’s long-term impact on learning outcomes and institutional adoption. From a business perspective, AI is enhancing decision-making, operational efficiency, and risk management. This paper also outlines research gaps and areas requiring further study, particularly in long-term AI workforce integration, ethical AI governance, and the economic implications of AI-driven productivity shifts. By providing a structured overview of existing literature and quantitative trends, this review contributes to ongoing discussions about AI’s role in shaping future economic and professional landscapes.