Agentic AI2026-04-24 · 5 min read

UAE to Run Half Its Government on Autonomous AI Agents by 2028

On April 23, 2026, Sheikh Mohammed bin Rashid Al Maktoum, Vice President, Prime Minister and Ruler of Dubai, announced a landmark directive to transform 50% of the UAE's government sectors, services, and operations to autonomous artificial intelligence systems within the next two years. The mandate was issued under the directives of President His Highness Sheikh Mohamed bin Zayed Al Nahyan, and positions the UAE as the first country in the world to adopt large-scale agentic AI at the federal government level. Autonomous AI agents — software systems capable of independently planning, executing tasks, and adapting to new information without human intervention — will take over the end-to-end delivery of public services across ministries, regulatory bodies, and federal entities.

The initiative is sweeping in its scope and ambition. All ministries and federal entities will undergo a phased AI transformation, assessed on a continuous performance and impact basis before full rollout. A dedicated task force has been formed, led by Mohammad Al Gergawi, Minister of UAE Cabinet Affairs, with Sheikh Mansour bin Zayed Al Nahyan — Vice President, Deputy Prime Minister, and Chairman of the Presidential Court — personally overseeing implementation. The plan represents one of the most ambitious government AI deployments in history: hundreds of millions of citizen-government interactions annually are expected to transition from human-mediated workflows to autonomous AI-managed processes. The cabinet also emphasized workforce development, committing to train and upskill government employees in generative AI applications — a signal that the transformation is designed to empower national talent, not simply automate them out of the picture.

The UAE's announcement arrives at a pivotal moment for agentic AI globally. Enterprise adoption of AI agents has surged in 2026, with analysts at Gartner projecting that 40% of enterprise applications will incorporate task-specific agents by year-end, up from under 5% in 2025. But governments have largely watched from the sidelines as private-sector companies deployed agents in narrow workflow automation. The UAE's move changes that calculus entirely — signaling that autonomous AI agents are now sufficiently mature, reliable, and governable for sovereign-level deployment. It also raises the competitive stakes for other nations: a government that can process licenses, adjudicate approvals, and coordinate emergency response autonomously will operate with a speed and efficiency advantage that traditional bureaucratic structures simply cannot match.

For Gulf and MENA markets, the announcement carries strategic weight far beyond technology policy. The UAE's decision creates immediate demand for agentic AI infrastructure, Arabic-language AI capabilities, and AI-ready government talent across the region. Saudi Arabia's Vision 2030, Qatar's National Vision, Oman's Oman Digital Society strategy, and Bahrain's cloud-first government mandate are all likely to benchmark against the UAE's new standard. Regional enterprises that supply government services — from document processing firms to ERP vendors and systems integrators — face an urgent imperative to rebuild their platforms around AI-native architectures, or risk displacement by specialized agentic solutions that interact directly with the new government interface layer.

The capabilities required for this transformation — context-aware agents that understand Arabic language nuance, comply with UAE data residency regulations, integrate with existing government ERP systems, and operate within defined governance frameworks — align precisely with what Diverge's MawjazAI platform delivers at the enterprise level. As federal entities begin mapping their processes for autonomous AI transition, the ability to deploy proven agentic solutions with genuine Arabic-language competence and local regulatory compliance will be the decisive differentiator. Organizations that have tested and validated agentic AI in operational environments will be the ones best positioned to win government implementation mandates in the cycles ahead.

The two-year timeline is aggressive by any global standard. The immediate next steps will center on identifying which government processes are 'agent-ready' — those with clearly defined decision criteria, well-documented workflows, structured data inputs, and measurable outcomes. Citizen-facing services like permit renewals, licensing queries, and benefit eligibility checks are natural first movers. More complex processes involving multi-agency coordination, legal interpretation, or high-stakes decisions will follow as the technology matures and governance frameworks solidify. By 2028, the success of this initiative will define what next-generation government looks like — not just in the UAE, but as a global reference model for how sovereign AI deployment can be done responsibly and at scale.

Source: The National