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UAE Sets Two-Year Target to Deploy Agentic AI in Half of Federal Government Operations
The United Arab Emirates announced a bold national programme to place 50 % of its federal government operations, services and tasks under autonomous agentic artificial intelligence (AI) models within two years. Launched in April 2026, the initiative is the first time a country has coupled a specific percentage with a concrete deadline for deploying autonomous AI in public administration.
A workshop in Abu Dhabi this month drew more than 100 federal officials to chart the programme’s strategic path. Led by the National Committee for the Agentic AI Project, participants set implementation priorities, timelines and began drafting a classification framework that will decide which government tasks can be handed to an autonomous agent and which must remain under human control.
The UAE’s early AI history underpins the project. After publishing its National AI Strategy in October 2017, the country appointed Omar Sultan Al Olama as Minister of State for Artificial Intelligence, making him the world’s first AI minister at age 27. Since then the UAE has built a digital identity system, a sovereign cloud and a data‑sharing layer that many other governments are still procuring.
"The workshop marks the operational beginning of deploying AI models across government activity," said Huda Al Hashimi, Deputy Minister of Cabinet Affairs for Strategic Affairs. The programme is organized around seven pillars—strategy and projects, foresight and strategic intelligence, policies, structures and governance, government performance, global competitiveness, and innovation in government work. Officials also discussed performance indicators and measures to avoid duplication of deployments.
Sheikh Mohammed bin Rashid Al Maktoum framed the UAE’s ambition by declaring it would be the first government to largely deploy agentic AI models across its sectors, describing systems that can manage operations and run independent series of actions without human intervention. Yet the implementation language emphasises that humans lead and AI enables.
The gap between autonomous execution and human primacy is the focus of the classification exercise. Until the framework is published, the question of who is accountable for an agent’s decision remains open. No other government has published a defensible method for drawing that line. The UAE’s two‑year clock will force it to answer these questions at scale.
Oversight of the project sits with Sheikh Mansour bin Zayed Al Nahyan, with a taskforce chaired by Mohammad Al Gergawi, Minister of Cabinet Affairs. In May, the Cabinet approved the first package of services to apply agentic AI tools and launched the largest training programme in UAE government history, covering 80 000 federal employees from ministers to new hires. The same session passed a national AI healthcare policy and established frameworks that make digital records the official source of core government data, requiring information to be collected once and shared securely across entities.
The rollout has been deliberate. A Dubai training event in June attracted more than 300 participants from 50 federal institutions, with the goal of identifying services suitable for agentic AI within 90 days. A separate workshop run by the Presidential Court and the Ministry of Cabinet Affairs put 600 staff through the same material.
Other governments around the world have AI strategies and national bodies but have not attached a specific number or deadline to their plans. The UAE’s commitment to 50 % within two years will generate public evidence on how agentic AI affects service delivery, headcount and error rates. The classification frameworks, once released, will be the first serious attempt by any state to document which decisions it is prepared to let a machine make.
The rest of the programme—procurement, training and governance structures—is largely in place. What remains to be seen is how the UAE will resolve accountability, liability and error‑handling for autonomous decisions, and whether the outcomes will influence other governments’ own AI transformation plans.
The UAE’s agentic AI push is a workforce strategy as much as a technology initiative. It signals that government teams, leaders and enterprise partners will need implementation skills, not just AI awareness, to succeed.
The national AI strategy, launched in 2017, positioned the UAE as a global AI hub and set the stage for the current two‑year mandate. The country’s early adoption of AI governance, data infrastructure and ministerial leadership has enabled it to pursue this ambitious transformation.
The next milestone will be the publication of the task‑classification framework, which will clarify the boundary between autonomous action and human recommendation. Until then, the UAE remains the only government experimenting with large‑scale agentic AI deployment on a fixed timeline.
A workshop in Abu Dhabi this month drew more than 100 federal officials to chart the programme’s strategic path. Led by the National Committee for the Agentic AI Project, participants set implementation priorities, timelines and began drafting a classification framework that will decide which government tasks can be handed to an autonomous agent and which must remain under human control.
The UAE’s early AI history underpins the project. After publishing its National AI Strategy in October 2017, the country appointed Omar Sultan Al Olama as Minister of State for Artificial Intelligence, making him the world’s first AI minister at age 27. Since then the UAE has built a digital identity system, a sovereign cloud and a data‑sharing layer that many other governments are still procuring.
"The workshop marks the operational beginning of deploying AI models across government activity," said Huda Al Hashimi, Deputy Minister of Cabinet Affairs for Strategic Affairs. The programme is organized around seven pillars—strategy and projects, foresight and strategic intelligence, policies, structures and governance, government performance, global competitiveness, and innovation in government work. Officials also discussed performance indicators and measures to avoid duplication of deployments.
Sheikh Mohammed bin Rashid Al Maktoum framed the UAE’s ambition by declaring it would be the first government to largely deploy agentic AI models across its sectors, describing systems that can manage operations and run independent series of actions without human intervention. Yet the implementation language emphasises that humans lead and AI enables.
The gap between autonomous execution and human primacy is the focus of the classification exercise. Until the framework is published, the question of who is accountable for an agent’s decision remains open. No other government has published a defensible method for drawing that line. The UAE’s two‑year clock will force it to answer these questions at scale.
Oversight of the project sits with Sheikh Mansour bin Zayed Al Nahyan, with a taskforce chaired by Mohammad Al Gergawi, Minister of Cabinet Affairs. In May, the Cabinet approved the first package of services to apply agentic AI tools and launched the largest training programme in UAE government history, covering 80 000 federal employees from ministers to new hires. The same session passed a national AI healthcare policy and established frameworks that make digital records the official source of core government data, requiring information to be collected once and shared securely across entities.
The rollout has been deliberate. A Dubai training event in June attracted more than 300 participants from 50 federal institutions, with the goal of identifying services suitable for agentic AI within 90 days. A separate workshop run by the Presidential Court and the Ministry of Cabinet Affairs put 600 staff through the same material.
Other governments around the world have AI strategies and national bodies but have not attached a specific number or deadline to their plans. The UAE’s commitment to 50 % within two years will generate public evidence on how agentic AI affects service delivery, headcount and error rates. The classification frameworks, once released, will be the first serious attempt by any state to document which decisions it is prepared to let a machine make.
The rest of the programme—procurement, training and governance structures—is largely in place. What remains to be seen is how the UAE will resolve accountability, liability and error‑handling for autonomous decisions, and whether the outcomes will influence other governments’ own AI transformation plans.
The UAE’s agentic AI push is a workforce strategy as much as a technology initiative. It signals that government teams, leaders and enterprise partners will need implementation skills, not just AI awareness, to succeed.
The national AI strategy, launched in 2017, positioned the UAE as a global AI hub and set the stage for the current two‑year mandate. The country’s early adoption of AI governance, data infrastructure and ministerial leadership has enabled it to pursue this ambitious transformation.
The next milestone will be the publication of the task‑classification framework, which will clarify the boundary between autonomous action and human recommendation. Until then, the UAE remains the only government experimenting with large‑scale agentic AI deployment on a fixed timeline.
