The rapid development of Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain has revolutionized organizational working practices, enabling digital transformation and sustainability. The current study investigates the drivers of the adoption of these technologies, analyzes their impact on the productivity of employees. There is evidence that AI-powered automation boosts efficiency through minimization of repetitive tasks, IoT optimizes the use of resources, and Blockchain brings transparency and security to business processes. AI-powered system resistance, lack of training in AI, and security risks in data collection, however, are impediments to adoption. The findings of factor analysis reveal four critical factors that shape the adoption of AI: efficiency, collaboration, automation, and work flexibility. The ANOVA findings show that attitudes toward AI-powered up skilling are not statistically influenced by AI-powered system resistance, which means other factors aside from those related to AI may have more importance. The study offers relevant insights for organizations functioning in emerging economies. This research contributes valuable knowledge to the convergence of technology adoption and sustainable digital transformation, providing strategic guidance to organizations on how to adopt AI, IoT, and Blockchain, while avoiding pitfalls in their adoption. The research highlights the significance of responsible integration of AI, employee participation, and ethical aspects to realize the full potential of these technologies in contemporary workplaces.