Inside Abu Dhabi’s race to build an AI-native government

Abu Dhabi is positioning itself to build an “AI-native” government that restructures public services around anticipation, intelligence and improved human outcomes, pushing beyond one-off digital services toward an agentic model that acts on behalf of residents. The effort is framed as a government that no longer requires physical visits to deliver services but instead anticipates needs and works quietly on users’ behalf, a transformation leaders say will alter how citizens interact with the state.

“Being ‘AI-native’ means redesigning government around intelligence, anticipation and human outcomes,” Lootah said. “It means moving away from a government you have to visit, to an agentic government that anticipates your needs and works quietly on your behalf.”

Context and details

The push to become AI-native sits alongside a broader wave of technology collaboration and projects across the UAE and the wider Middle East. Recent regional developments highlighted alongside Abu Dhabi’s ambition include partnerships and investments that collectively point to rising interest in large-scale AI and digital infrastructure.

• Humain and Cohere announced a partnership to build one of the Middle East’s largest AI infrastructure deployments.
• DEWA and Dubai Taxi Company signed a partnership to expand EV charging infrastructure for Dubai Taxi Company’s electric fleet.
• Digital Dubai and Emirates Group entered an agreement to advance digital transformation and expand the use of shared digital platforms and emerging technologies, including AI.
• YouTube rolled out new supervised accounts aimed at enhancing children’s online safety in MENA.

Officials framing Abu Dhabi’s strategy emphasize that being AI-native is more than adopting new tools: it is about redesigning processes, user journeys and policy around machine intelligence so public services can anticipate and respond proactively. That approach reframes government work from a reactive provider of discrete services to an anticipatory, continuously learning system aimed at delivering better human outcomes.

The language used by Lootah stresses a human-centered orientation: intelligence and anticipation are means to produce improved outcomes for residents rather than ends in themselves. The suggested model imagines agents — likely software-driven services — that reduce friction for residents by handling routine tasks and surfacing needs before they escalate into problems.

Outlook

If Abu Dhabi follows through on an AI-native strategy, the practical effects could include fewer in-person transactions, faster delivery of routine government services, and increased use of large-scale AI infrastructure. The region’s expanding investments in AI platforms and partnerships, such as the Humain–Cohere collaboration, indicate capacity building at scale that could underpin an agentic public sector.

How this transition will be governed — including data governance, accountability, privacy safeguards and equity of access — remains a central challenge. Implementing an AI-native government at scale will require clear rules for how anticipatory agents make decisions and robust mechanisms to ensure those decisions align with the public interest. For now, Abu Dhabi’s stated aim is clear: redesign government around intelligence, anticipation and improved human outcomes, moving public services from places people must visit to systems that act on their behalf.