UAE Plans to Run 50% of Government on Agentic AI

At Data Tribes, we came across a forward-looking article highlighting how the UAE is redefining the role of AI in government.

The United Arab Emirates is taking a major step toward integrating artificial intelligence at the core of public administration. Under the direction of Prime Minister Mohammed bin Rashid Al Maktoum, the UAE aims to have 50% of federal government operations powered by agentic AI within two years. If achieved, this would position the country as the first to deploy autonomous AI systems at scale across government functions.

This initiative marks a shift from traditional digital transformation to true operational autonomy. Unlike earlier systems focused on efficiency and service delivery, agentic AI introduces systems capable of analyzing data, making decisions, executing actions, and continuously improving in real time. AI is no longer treated as a support tool, but as an active decision-making partner within government processes.

To ensure successful implementation, the UAE has defined clear performance metrics, including adoption speed, execution quality, and the ability of government entities to redesign workflows around AI capabilities. Leadership and oversight are being handled at the highest levels, signaling strong institutional commitment.

A key challenge the initiative addresses is institutional capacity. Rather than layering AI onto existing systems, the UAE plans to transform its workforce by training all federal employees in generative AI tools. This reflects a shift toward hybrid governance, where humans supervise and collaborate with intelligent systems.

This move builds on years of digital progress, including initiatives like UAE Pass and Government Services 2.0, which laid the foundation for data-driven and proactive services. However, what sets this strategy apart is its ambition to restructure government operations around AI, rather than simply enhancing them.

From Data Tribes’ perspective, this initiative highlights a critical shift in how organizations should think about AI

AI is moving from tool to system to decision-maker

The real transformation lies not in adopting AI, but in redesigning workflows around it

Data quality, governance, and infrastructure will become the true bottlenecks, not the technology itself

Workforce upskilling is no longer optional, it is foundational to AI adoption

This case reinforces a broader trend: the organizations that succeed with AI will not be the ones that use it occasionally, but the ones that embed it into their core operations and decision-making processes