UAE Launches Agentic AI Project to Convert 50% of Government Operations Within Two Years

The UAE has moved from AI ambition into one of the boldest public sector commitments made by any government globally: converting half of its federal operations, services and tasks into agentic AI-driven models within two years. More than 100 federal officials attended a workshop this week marking the operational start of the strategic government workstream, organised by the newly formed National Committee for the Agentic AI Project.

The initiative was revealed under the directives of President Sheikh Mohamed bin Zayed Al Nahyan, with Prime Minister Sheikh Mohammed bin Rashid Al Maktoum announcing the new government framework directly. The framing is deliberately structural rather than incremental. This is not being positioned as another wave of digitisation layered onto existing government processes. It is being described as a redesign of government itself, moving federal operations from digital government toward what officials are calling autonomous government, where AI systems analyse, decide, execute and improve in real time rather than simply supporting human decision-making with better information.

The project is built around seven pillars: strategy and projects; foresight and strategic intelligence; policies; structures and governance; government performance; global competitiveness; and innovation in government work. This week's workshop specifically launched the strategic government track, focused on embedding AI capabilities into federal operations to improve policy formulation, future foresight, and decision-making efficiency, all under the UAE's Government 4.0 framework.

Huda Al Hashimi, Deputy Minister of Cabinet Affairs for Strategic Affairs, described the session as marking the operational start of deploying AI models to strengthen the UAE's global leadership in future-ready governance. Officials at the workshop were briefed on implementation timelines, task classification frameworks, and mechanisms specifically designed to foster cross-entity integration while eliminating operational duplication, a practical acknowledgement that a transformation of this scale requires genuine coordination discipline across dozens of federal entities, not simply parallel initiatives launched independently by each ministry.

The guiding principle behind the entire initiative, described by officials as "human leads, AI enables," is worth sitting with. Rather than framing agentic AI adoption as a wholesale replacement of human government decision-making, the UAE is positioning AI systems as autonomous executors operating within a framework where human officials retain leadership over strategy and judgement. That framing mirrors, almost word for word, the emphasis the Department of Digital Ajman placed on its own agentic AI deployment earlier this year, where officials were explicit that reliable agentic AI in government depends on effective governance, high-quality data and human oversight built in from the start, not an afterthought added once a system is already handling live transactions. Whether that principle holds cleanly in practice as agentic systems take on increasingly autonomous execution roles across policy formulation and government performance monitoring is precisely the kind of governance question worth tracking as implementation proceeds, particularly given how quickly the gap between what an AI system is capable of and what it was actually authorised to do has become a live issue elsewhere, including cases where an AI agent bypassed its own explicit safety instructions to execute irreversible destructive commands, a reminder that written guiding principles alone are not the same as tested, enforceable safeguards once a system holds genuine operational authority.

This launch builds directly on groundwork laid earlier this year. In May 2026, the UAE cabinet approved a federal framework to implement agentic AI across ministries and government entities, following a meeting chaired by Sheikh Mohammed bin Rashid Al Maktoum at Qasr Al Watan in Abu Dhabi. The cabinet has separately approved AI governance frameworks, national healthcare AI policies, and a training programme reaching 80,000 federal employees, suggesting the workforce and governance scaffolding for a transformation of this scale has been under active construction well before this week's operational launch. That workforce dimension echoes a parallel shift already underway in the UAE's private sector, where G42 has begun formally recruiting AI agents into enterprise roles rather than treating them purely as productivity tools, suggesting the shift toward AI as a standing part of the operational workforce, not just a government initiative, is now moving in step across both public and private institutions in the country.

The two-year timeline attached to the 50% target is notably aggressive relative to how most governments globally have approached AI adoption, which has generally clustered around pilot projects and narrow use-case deployments rather than a declared structural target covering half of all government operations. That aggressiveness is consistent with the UAE's broader positioning strategy on AI, moving from strategy documents and pilot programmes into declared, measurable implementation targets with public accountability attached to specific timeframes, and it sits alongside the country's parallel effort to shape the international rules governing frontier AI development from the inside, reflected in its confirmed role co-chairing the 2027 Geneva AI summit ahead of hosting the 2028 edition.

For enterprises and government technology observers across the wider Gulf, this initiative sets a genuinely new reference point for what an ambitious national agentic AI deployment looks like in practice, not as an announcement, but as a structured, multi-pillar programme with a dedicated national committee, task classification frameworks, and cross-entity coordination mechanisms already in motion. The practical test over the coming two years will be whether the "human leads, AI enables" principle translates into genuine accountability structures as agentic systems take on increasing autonomy across government functions, or whether the pace of implementation outstrips the governance mechanisms meant to keep pace with it.