Scenario Analysis of AI Adoption among Employees in Abu Dhabi Transportation Department

As public sector organisations increasingly adopt Artificial Intelligence (AI) technologies to enhance service delivery, employee acceptance has emerged as a critical success factor.This study investigates staff readiness to embrace AI within the Abu Dhabi Transportation Department, employing a scenario analysis approach to explore perceptions across three key dimensions: system availability factors (SAF), user satisfaction attributes (USA), and behavioural intention to use AI (BIU).Data were collected through a structured questionnaire administered to 29 employees.Findings indicate a strong positive orientation toward AI adoption, with all mean scores exceeding 4.5.Specifically, SAF recorded a mean of 4.76, USA achieved 4.77, and BIU reached 4.71.These results place the organisation within the Optimistic Scenario, suggesting that employees view AI technologies as reliable, efficient, and valuable to their daily operations.High satisfaction levels appear linked to the successful integration of AI systems supported by dependable infrastructure, targeted training initiatives, and clear operational benefits such as real-time decision-making and improved efficiency.The study highlights that employees' trust in AI systems and recognition of their practical advantages significantly influence their behavioural intention to adopt the technology.These insights emphasise the importance of continuous investment in digital infrastructure, tailored training programs, and proactive management of technical challenges to sustain positive employee perceptions and support long-term AI integration.By identifying the factors that shape acceptance, this research offers practical guidance for policymakers and managers aiming to foster effective AI adoption in the public transportation sector.