
Abu Dhabi and OpenAI Launch AI-Native Government Initiative

Abu Dhabi has officially launched a pioneering partnership with OpenAI to transform its regulatory framework into a machine-readable format. This initiative, unveiled on Monday, November 9, aims to streamline public services by enabling artificial intelligence systems to manage routine permit applications and compliance checks in minutes rather than days. Potentially reducing decisions that previously took days of manual review to minutes, routine cases can be processed autonomously around the clock. Sheikh Khaled meets OpenAI CEO Sam Altman.
Known as the Machine-Readable Government (MRG) project, the initiative positions Abu Dhabi as the first global government to optimize specific laws and policies for AI integration. While the system automates assessment processes, it does not rewrite legislation; instead, it converts existing policies into structured formats that AI can process, effectively creating a direct audit trail linked to the specific regulations informing each outcome. They can also test proposed policy changes against related regulations before introducing them. The aim is to simplify and strengthen regulation while preserving existing legislation.
The project serves as a cornerstone of the emirate’s Dh13 billion ($3.5 billion) Government Digital Strategy for 2025-2027. Officials confirmed that the initiative will integrate directly with TAMM, the unified digital platform that consolidates over 1,200 public and private services in Abu Dhabi. UAE tops global AI adoption with a 70.1% rate. 18 UAE graduates rewarded with cars for excellence.
Program Strategic Details
- Altman Statement: The OpenAI chief executive noted that the UAE is the world’s most forward-looking AI nation.
- Operational Integration: ADNOC is already utilizing specialized OpenAI agents to assist in the valuation of oil barrels.
- Commemorative Context: The launch coincides with reflections on the enduring legacy of Sheikh Zayed on Zayed the Founder Day.
Despite the high level of automation, the government emphasized that human oversight remains central. Public officials will continue to define standards, manage complex case applications, and hold final decision-making authority. The framework is explicitly excluded from high-stakes decision-making that could affect individual rights, service eligibility, or core essential access. “Making AI accessible for everyone requires transforming public sector delivery, helping it become faster, more responsive and more effective,” Altman said.
Ahmed Tamim Hisham Al Kuttab, Chairman of the Department of Government Enablement, stated that the initiative acts as the connective tissue between the government’s ambitious AI targets and practical public service delivery. He noted that applying AI to legacy processes was insufficient, necessitating an intelligent policy infrastructure that allows for cross-departmental regulatory analysis to identify conflicting or overlapping rules. “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 rules that shape daily life, how a permit is approved, how a tender is decided, how a service reaches the public, will now be as capable as the systems we build to serve our people,” Al Kuttab said.
Technically, the deployment features unique infrastructure safeguards.
By utilizing in-country inference residency, model computation runs exclusively on graphics processing units located within UAE data centers.
This ensures compliance with local laws and a ‘fail-closed’ security architecture. Furthermore, the government retains full data ownership, ensuring that information processed by the system is not utilized to train third-party AI models.
The pilot program is already live within the Abu Dhabi Agriculture and Food Safety Authority, specifically targeting food import procedures.
Developed in collaboration with Inception42, a G42 company, the pilot uses a Policy Adoption Engine to automate compliance assessments.
Future expansion plans for the MRG framework include construction permits, freelance licensing, human resources compliance, and government procurement processes.
Currently, AI use cases are active across 40 different government entities, supported by comprehensive AI training for the local civil service.








