Despite continuous debates on workforce transformation, a significant research gap emerges. How can AI-reinforced frameworks sustainably drive upskilling and reskilling initiatives in a time of rapid skills evolution? Existing research has limited coherent integrations between upskilling and reskilling into strategic pathways. Therefore, this research explored how AI-reinforced frameworks enable upskilling and reskilling efforts within the continuously developing skills economy, determining frameworks that support workforce agility for long-term employability. The authors used a survey study. Data was gathered from 537 respondents from fifteen countries and nine industries using snowball and convenience sampling. Moreover, the authors studied respondents’ viewpoints on AI’s role in skills identification, personalization, scalability of learning interventions, and career sustainability. This research adds theoretical and practical knowledge of AI’s role in human capital development. Besides, it shows practical insights for educators and organizational leaders as they create future-ready talent strategies. These results revealed that 77% of respondents recognize AI as a critical enabler for personalized learning pathways and accessibility to reskilling programs. Moreover, it showed a 13% increase in employee retention rates. This empirical evidence offers a forward-looking framework for sustaining employability and organizational competitiveness in the era of skills evolution.