The Impact of Artificial Intelligence on Education and the Workplace: A Comprehensive Literature Review

This literature review synthesises findings from 68 peer-reviewed articles, institutional reports, and empirical studies published between 2015 and 2026, examining the transformative impact of artificial intelligence (AI) on education and the workplace. In the educational domain, the review covers AI-driven personalised learning, automated assessment and feedback systems, the evolving role of teachers, digital equity and access challenges, and the implications of generative AI for academic integrity. In the workplace domain, it analyses automation and employment disruption, productivity gains from AI augmentation, emerging skill requirements, algorithmic bias and ethics, and human–AI collaboration models. Particular attention is given to the context of Bangladesh and South Asia, including the readymade garment sector's automation vulnerability, the digital divide in rural education, and the state of national AI governance. The review identifies critical gaps in the literature — especially the scarcity of research on Bengali-language AI tools and longitudinal impact studies in low-income economies — and concludes with six evidence-based policy recommendations. Keywords: artificial intelligence, education, workplace, automation, personalised learning, machine learning, employment, Bangladesh, South Asia, EdTech, future of work