Policy·MENA

UAE Introduces Agentic AI to Transform Government Operations by 2028

Global AI Watch · Editorial Team··4 min read
UAE Introduces Agentic AI to Transform Government Operations by 2028
Perspectiva editorial

By 2028, the UAE could surpass global peers in digital governance through significant AI integration, echoing Estonia's earlier efforts but on a larger scale.

What Changed

The UAE government has unveiled a strategic initiative to integrate Agentic AI into 50% of its operations by 2028. This positions the UAE as a pioneer in governmental AI utilization, exceeding efforts by other nations such as Estonia, which has integrated AI into 20% of government functions as of 2025. The initiative aims to leverage the advanced capabilities of AI to enhance efficiency, indicating a significant policy-driven shift towards digital governance.

Strategic Implications

This development elevates the UAE's status as a leader in AI adoption within governance structures, potentially attracting global AI talent and partnerships. The primary beneficiaries are local AI startups and government agencies, which will see increased investment and modernization. Conversely, reliance on traditional IT frameworks and foreign AI vendors may diminish as domestic AI capabilities strengthen.

What Happens Next

We can expect further strategic partnerships between the UAE government and international AI research bodies to bolster local capabilities. Regulatory frameworks will likely be adjusted to support this transformation, focusing on data security and ethical AI use. Policy announcements detailing procurement and partnership opportunities are anticipated by late 2026.

Second-Order Effects

The increased use of AI is likely to streamline procurement processes, impacting suppliers across various sectors. This could lead to a more competitive landscape for global AI firms seeking partnerships or contracts within the UAE. Additionally, there is potential for regulatory challenges surrounding data privacy and AI ethics, necessitating robust governance structures to manage these complexities.

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