{"id":145941,"date":"2026-08-20T09:46:13","date_gmt":"2026-08-20T09:46:13","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/145941\/"},"modified":"2026-08-20T09:46:13","modified_gmt":"2026-08-20T09:46:13","slug":"agentic-ai-in-government-the-uae-decides-what-machines-decide","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/145941\/","title":{"rendered":"Agentic AI in government: the UAE decides what machines decide"},"content":{"rendered":"

The United Arab Emirates (UAE) has been early in adopting artificial intelligence for 9 years. It published a national AI strategy in October 2017 and, days later, created a ministerial post to run it, making Omar Sultan Al Olama the world\u2019s first minister of state for artificial intelligence at 27. In the years since, it has built the digital identity, sovereign cloud and data-sharing layers most governments are still procuring. Agentic AI in government is where that head start either pays off or does not.<\/p>\n

The test began this month. More than 100 federal officials attended a workshop to launch the strategic track of the UAE\u2019s agentic AI project, the national programme to convert half of federal government operations, services, and tasks to agentic AI models within two years. Organised by the National Committee for the Agentic AI Project, the session set implementation priorities and timelines, and began building the frameworks that will classify which government tasks can be handed to an agent at all.<\/p>\n

That classification exercise is the whole ballgame. Compute and plumbing the UAE has, including an AI-powered proactive performance system that tracks more than 150 million data points a month. What no government anywhere has yet published is a defensible method for drawing the line between a task an autonomous system may complete and one it may only recommend.<\/p>\n

Huda Al Hashimi, Deputy Minister of Cabinet Affairs for Strategic Affairs, described the workshop as the operational beginning of deploying AI models across government activity. The programme runs across 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 how entities will avoid duplicating each other\u2019s deployments.<\/p>\n

Two framings of the same project<\/p>\n

The workshop was guided by a stated principle: human leads, AI enables.<\/p>\n

Recalling how the project was introduced, when announcing the framework, Sheikh Mohammed bin Rashid Al Maktoum said the UAE would be \u201cthe first government in the world to largely deploy Agentic AI models\u201d across its sectors and operations, and described systems that manage operations and run an independent series of actions without human intervention. The founding language is about autonomous execution. The implementation language is about human primacy.<\/p>\n

Both can be true across a portfolio of thousands of tasks, and the gap between them is exactly what the classification frameworks are meant to close. But until those frameworks are published, the question of who answers for an agent\u2019s decision sits open. The material released so far covers pillars, training, indicators and governance structures. It does not describe what a citizen does when an autonomous system gets their case wrong, or where liability lands when it does.<\/p>\n

That is not a criticism unique to the UAE. No government has answered it, because no government has been here before. The difference is that the UAE is the one that will have to answer it first, at scale, on a two-year clock.<\/p>\n

The scale is the point<\/p>\n

Oversight 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 government services to apply agentic AI tools, alongside the largest training programme in the history of the UAE government, covering 80,000 federal employees from ministers to new joiners. A national AI healthcare policy passed in the same session, as did frameworks making digital records the official source of core government data and requiring information to be collected once and shared securely across entities.<\/p>\n

The tempo since has been deliberate. A Dubai training event in June drew more than 300 participants from 50 federal institutions, with a stated goal of identifying which services and procedures suit agentic AI within 90 days. A separate workshop that month, run by the Presidential Court and the Ministry of Cabinet Affairs, put 600 staff through the same material.<\/p>\n

Why agentic AI in government travels beyond the Gulf<\/p>\n

Governments across Asia and Europe are approaching the same decision from a standing start, most of them with an AI strategy, a national body and no number attached to any of it. The UAE has attached a number and a date, which means that within two years there will be public evidence about what agentic AI in government actually does to service delivery, headcount and error rates.<\/p>\n

Nobody else has to run that experiment now. They do have to decide what they will do with the results, and whether they are willing to move before those results exist.<\/p>\n

The task classification frameworks are the document to watch. When they are published, they will be the first serious attempt by any state to write down which decisions a government is prepared to let a machine make on its behalf. Everything else in this programme is procurement and training. That part is constitutional.<\/p>\n

(Photo by Emirates News Agency<\/a>)<\/p>\n

See also: OpenAI president urges enterprises to hasten AI security defences<\/a><\/p>\n

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