UAE Launches Major Agentic AI Transformation Across Public Services

The United Arab Emirates has announced one of the most ambitious public-sector AI deployments to date. Within two years, 50 percent of federal government operations, procedures and services will transition to agentic AI models. The announcement came at a workshop in Dubai organised by the Presidential Court and the Ministry of Cabinet Affairs. More than 600 government employees participated in the event, which outlined the next phase of the UAE’s national AI transformation strategy.

Minister of Cabinet Affairs and Chairman of the National Committee for the Agentic AI Project, Mohammad bin Abdullah Al Gergawi, described the move as a defining strategic step in redesigning how government works. Both the Ministry of Cabinet Affairs and the Presidential Court have set their own targets at 75 percent conversion, with implementation running across four stages: readiness assessment, capability building, pilot deployment, and full-scale rollout.

The world is going through a fundamental shift driven by artificial intelligence, and the UAE, thanks to its forward-thinking vision and early investments, has positioned itself at the forefront of nations ready to embrace and capitalise on this transformation.

– Mohammad bin Abdullah Al Gergawi, Chairman of the National Committee for the Agentic AI Project

The scale and pace of the rollout – spanning autonomous agent deployment across federal services, inter-agency coordination and institutional decision-making – places the UAE among the world’s most ambitious government adopters of agentic AI.

Unlike conventional AI applications that primarily generate content or provide recommendations, agentic AI systems are designed to autonomously execute tasks across multiple government platforms. This effectively turns AI agents into privileged digital identities with access to sensitive data, enterprise applications, and critical government workflows. As these systems become embedded in public-sector operations, governments will need to secure AI identities with the same rigor as human users, making identity governance, privileged access management, continuous monitoring, and comprehensive audit capabilities increasingly important components of future security architectures.