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UAE Approves 32 AI Agents for Cabinet Advisory System

AI AgentsPatryk Raba

The United Arab Emirates government has approved the Cabinet AI Advisor system, in which 32 specialized AI agents will analyze draft laws and decisions and monitor ministers' implementation of them around the clock.

Contents
  1. How the System Will Work
  2. Part of a Wider Push for Agentic Government
  3. Education as a Second Pillar
  4. What It Means for Other Countries

Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the United Arab Emirates, announced the approval of the new Cabinet AI Advisor system during a government meeting at the Qasr Al Watan palace in Abu Dhabi. The system will use 32 specialized artificial intelligence agents to analyze draft laws, assess their impact, and continuously monitor the implementation of government decisions.

How the System Will Work

According to the UAE government, each of the 32 agents will analyze policy and legislative proposals for their financial, economic, social and environmental impact. The agents are meant to compare proposed solutions with global best practices and the UAE's national priorities, then present recommendations to decision-makers.

Beyond analyzing the proposals themselves, the system is designed to work around the clock alongside ministers, tracking progress on the implementation of decisions already made. This sets it apart from typical AI-based advisory tools, which end their role at the recommendation stage rather than continuing to oversee implementation.

Part of a Wider Push for Agentic Government

The initiative fits into a broader direction set by the UAE government, which has spent months signaling its intent to embed agentic artificial intelligence into cabinet work and into the activities of the Ministerial Council for Artificial Intelligence and Development. The UAE has for years positioned itself as one of the countries most open to deploying AI in public administration, including through the post of Minister of State for Artificial Intelligence, which has existed since 2017.

This is part of a broader transformation of government services using agentic artificial intelligence - Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the United Arab Emirates

The government stressed that the system is built on principles protecting the confidentiality of the matters it handles and meets the UAE's cybersecurity standards. However, it did not disclose which language model the agents are based on or which technology provider is responsible for the implementation.

Education as a Second Pillar

The announcement of Cabinet AI Advisor was accompanied by the unveiling of a training program for 22,000 teachers and education staff, who will learn to integrate AI into teaching, assessment and curriculum design. The government also announced plans to roll out an AI curriculum in public and private schools nationwide, with ambitions to share this experience with other countries.

Both initiatives are expected to be discussed in greater detail during the UAE government's annual meetings scheduled for November 8-10, whose central theme is set to be the readiness and resilience of public institutions in the face of rapid technological change.

What It Means for Other Countries

The UAE's decision is one of the most far-reaching examples to date of formally embedding AI agents into a government's decision-making process, going beyond the pilots or expert advisory arrangements seen in other countries, including Poland, where ministries are only just beginning to form advisory teams made up of people. The scale and constant, operational nature of the system, including round-the-clock monitoring of decision implementation, could become a reference point in the debate over the limits of public administration automation.

For observers of the AI market, the announcement also confirms that Gulf states, with large budgets and centralized decision-making systems, can roll out agentic AI solutions faster than democracies with elaborate legislative and consultative procedures.

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