UAE targets 50% government automation with agentic AI by 2028

The United Arab Emirates plans to shift 50% of its government services and operations to agentic artificial intelligence by 2028, establishing a new global benchmark for autonomous governance and positioning AI as an executive partner rather than a simple tool.

"AI is no longer a tool. It analyses, decides, executes and improves in real time," Sheikh Mohammed bin Rashid Al Maktoum, Vice President of the UAE and Ruler of Dubai, said in the announcement. "It will become our executive partner to enhance services, accelerate decisions and raise efficiency."

The plan includes a clear two-year execution window for the initial transition and mandates that every federal government employee will receive training in generative AI. This initiative builds on existing digital infrastructure like the UAE Pass digital identity platform and the TAMM unified government service portal.

The move is set to accelerate investment in sovereign cloud capabilities, AI governance platforms, and digital infrastructure across the Gulf region, potentially creating significant opportunities for technology firms. For the UAE, success hinges on redesigning core government processes and data frameworks to support autonomous systems, a multi-year change management challenge that goes far beyond a technology roll-out.

Redefining Government Services

At the heart of the strategy is agentic AI, which involves systems capable of not only generating insights but also taking action autonomously to execute tasks. In a government context, this could range from automating case handling and service delivery to supporting policy execution. For residents, the experience is expected to shift from navigating complex systems to simply stating a goal, with the AI handling the execution in the background.

However, analysts caution that the most significant hurdles are not technological but organizational. "The real determinant of success will be agentic readiness at the data and process layer, not infrastructure," said Manish Ranjan, a research director at IDC. "Workflow, policy and process redesign is the hardest part and, in a federal government, a multi-year change management exercise rather than a technology roll-out."

Balancing Automation and Accountability

The transition to autonomous systems raises critical questions of trust, governance, and accountability. Experts suggest that "human-in-the-loop by design" frameworks will be essential, establishing clear rules for which decisions can be fully automated and which require human oversight.

"Reaching 50% is achievable if defined as AI-assisted or AI-enabled services, particularly for high-volume, low-complexity use cases," said Mohamed Roushdy, CIO at Reem Finance. He noted that fully autonomous AI decision-making in complex areas remains constrained by trust and governance challenges. The government's plan to mandate AI training for all federal employees is a direct attempt to address this, aiming to build one of the most AI-capable government workforces globally.

This article is for informational purposes only and does not constitute investment advice.