This article, authored by Camilia Miccolis, Director of UKI and Netherlands at Rise Up, addresses the limitations of traditional workplace training and presents adaptive learning as a more effective alternative. The central argument is that one-size-fits-all training programmes fail to meet the diverse developmental needs of modern employees, and that AI-driven adaptive learning platforms offer a superior approach through personalisation, real-time feedback, and continuous development. Key evidence cited includes a McKinsey statistic that approximately 90% of organisations anticipate workforce knowledge and experience gaps, and data from Gallup's State of the Global Workplace 2024 report linking employee engagement to a 78% reduction in absenteeism, a 68% increase in wellbeing, and a 23% boost to profitability. The article concludes that adaptive learning — through mechanisms such as spaced repetition, interactive activities, and mobile accessibility — enables organisations to develop a more agile, skills-first workforce while improving retention and reducing attrition. The piece positions adaptive learning as essential rather than optional for contemporary organisations. Key insights: Approximately 90% of organisations, according to McKinsey, anticipate knowledge and experience gaps in their workforce that cannot be addressed through traditional static training or unsustainable hiring rates. Gallup's State of the Global Workplace 2024 report associates engaged workers with a 78% reduction in absenteeism, a 68% increase in wellbeing, and a 23% boost to profitability, which the author connects to the case for personalised learning. Adaptive learning employs techniques such as spaced repetition and interactive simulations — approaches the article claims improve long-term knowledge retention compared to periodic, passive assessments used in traditional training. Practical takeaways: Organisations experiencing training disengagement or low retention rates may find value in exploring adaptive learning platforms that deliver content based on individual progress, role requirements, and career ambitions rather than uniform course structures. Mobile-accessible, on-the-job learning modules that address knowledge gaps as they emerge represent a delivery model described as improving uptake and retention compared to scheduled, classroom-style training.