AI & Robotics System Targets Labour Market Productivity in UAE

A new artificial intelligence and robotics system is being introduced in the UAE to improve labour market productivity and streamline workforce processes through automated decision-making tools. The project is being implemented by the Federal Authority for Identity, Citizenship, Customs and Ports Security in collaboration with the Ministry of Human Resources and Emiratisation. It forms part of a broader government framework focused on deploying self-executing “Agentic AI” models across public services. Set to take effect at the beginning of May, the system is designed to support the attraction of skilled labour and professional talent, responding to shifts in global workforce dynamics. It contributes to national objectives aimed at building a more productive, diversified, and balanced labour market. The framework introduces objective assessment mechanisms for work permit applications, evaluating candidates based on professional skills, educational qualifications, prior experience, and acquired knowledge. These criteria are intended to standardise and improve the efficiency of workforce selection processes. According to the project outline, around 50% of workflows are expected to be automated through self-executing AI systems. AI-powered robotics will also be integrated into sectors including manufacturing, logistics, and infrastructure, enabling real-time operational decisions and improving overall efficiency. The initiative is expected to reduce repetitive manual tasks and enhance workforce capabilities, while supporting broader private sector growth. As of March 2026, employment levels have increased by 12.4%, alongside a 34% rise in compliance indicators. The rollout aligns with national strategies such as the Dubai Economic Agenda D33 and the UAE Digital Transformation Strategy 2031, and comes amid a global increase in artificial intelligence investment, with major technology companies collectively committing more than USD 600 billion in capital expenditure in 2026.