AI as a bridge: How technology facilitates educational and workforce transitions in a digital era

As artificial intelligence (AI) becomes deeply embedded in educational and workforce systems, its role as a transformative enabler of educational-to-employment transitions is increasingly significant. This paper discusses how AI functions not merely as a pedagogical tool or employment disruptor, but as a “transitional infrastructure” connecting formal learning environments with the evolving demands of digitally mediated labour markets. The study employs a narrative review methodology, synthesising interdisciplinary literature from 2020 to 2025, drawing on foundational educational theories and recent empirical research. Five key themes emerged: AI-enhanced personalised learning, intelligent career guidance, institutional transformation through smart education, equity in digital inclusion, and pedagogical-ethical considerations. Findings suggest that AI can support lifelong learning, skill adaptation, and systemic reform when implemented ethically and inclusively. However, the review also highlights challenges such as algorithmic bias, data inequality, and the erosion of learner agency. The review calls for equity-centred, evidence-based frameworks to ensure AI fosters inclusive, just, and future-ready learning-to-work pathways.