OpenAI and Abu Dhabi Government Launch ‘World’s First’ AI-Native, Machine-Readable Government Initiative

The partnership lays the groundwork for government services that can apply rules, explain outcomes and respond faster, with officials retaining control.

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Governments are using AI to automate public services, support officials and make administration more responsive. As the OECD's work on public-sector AI shows, expanding those uses requires the data, infrastructure and oversight to make them dependable.

Abu Dhabi Government and OpenAI are addressing that challenge through Machine-Readable Government (MRG), launched on November 2 and described by the partners as the world's first AI-native initiative of its kind. It forms part of Abu Dhabi's ambition to become an AI-native government by 2027.

Led by the Department of Government Enablement (DGE), the initiative makes selected policies and regulations usable by AI systems. The aim is to connect government rules directly to the services built around them, allowing routine compliance assessments to be carried out consistently and traced back to the relevant policy clause.

His Excellency Ahmed Tamim Hisham Al Kuttab, chairman of DGE, said:

“When we set out to build the world’s first AI-native government, we knew that applying AI to old processes would only take us so far. The harder task was making policy itself intelligent, and that is what a Machine-Readable Government does.”

Building AI into public administration

The practical ambition is to make government easier to navigate. Planned applications include construction permits, business and freelance licensing, and procurement. DGE says routine cases can be handled around the clock, with decisions returned in minutes where manual review previously took days.

MRG is also intended to connect to TAMM, Abu Dhabi's unified platform for public and private services. The goal is a more consistent experience across government, with the rules behind an application connected to the service people use.

Initially, the rules themselves remain unchanged. Structuring them for AI could also help officials identify conflicting requirements across departments and assess proposed policy changes before they take effect. The initiative therefore supports both service delivery and the government's ability to manage its policies.

An initial application is already live for food-import checks at the Abu Dhabi Agriculture and Food Safety Authority, developed with Inception42, a G42 company.

Officials remain accountable for decisions and review complex cases. The framework excludes autonomous decisions in high-stakes matters that materially affect people's rights, eligibility or access to essential services.

The partnership also keeps real-time AI model processing in UAE data centers under Abu Dhabi law. The government retains ownership of system-generated data, which DGE says is not used to train AI models.

The initiative builds on the AED 13 billion Digital Strategy 2025 to 2027, announced in January 2025. It complements investment in cloud infrastructure, process automation and workforce development, including the AiNative training program launched in October with a target of reaching 20,000 government employees by year-end.

A wider AI partnership

MRG forms part of four agreements announced with OpenAI on November 2. His Highness Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi, witnessed the signings following a meeting with OpenAI chief executive Sam Altman.

The other agreements extend that ambition into industry. ADNOC's agreement with OpenAI and G42 through Inception42 covers energy planning and operational and commercial decisions. Mubadala will work with Inception42 and OpenAI on investment analysis and risk assessment, while a separate five-year Inception42-OpenAI partnership will support adoption across government, enterprise and education.

For the public-sector technology industry, the initiative points to a broader role for AI: helping build the systems through which public policy becomes a service. If that approach scales, the benefit for businesses and residents would be more consistent requirements, quicker routine approvals and a clearer explanation of decisions.