On July 28, 2026, the UAE’s Emirates News Agency reported that Abu Dhabi’s Department of Government Enablement launched an AI-powered Policy Development Programme for senior public-sector leaders. Delivered with the Lee Kuan Yew School of Public Policy, the executive course will train officials on using AI, behavioural insights and data to design, implement and evaluate government policy.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Abu Dhabi’s AI-powered policy programme shows how quickly governments are moving from abstract AI strategies to hands-on capacity building. By targeting executive directors and senior civil servants, the UAE is trying to ensure that the people who actually design and sign off on policies understand what it means to integrate AI tools into agenda-setting, impact assessment and implementation. Partnering with the Lee Kuan Yew School gives the effort some additional policy science credibility and connects Gulf experimentation with Singapore’s long track record of technocratic governance.
From an AGI race point of view, the significance is institutional rather than technical. As frontier models become more capable, the bottleneck shifts from “Can this be done?” to “Can public institutions deploy this safely, legitimately and in ways citizens will accept?” Jurisdictions that invest early in AI-literate bureaucracies will be better able to regulate high‑end systems without either stifling them or losing control. The UAE clearly wants to be in that first bucket, positioning itself as a small but agile player that can adopt and sometimes help test cutting-edge AI governance ideas.
The programme also hints at a future in which policy teams routinely use AI agents to simulate policy outcomes, communicate trade‑offs and monitor implementation in real time. That is not AGI, but it is a precursor to AI-infused state capacity that could both accelerate and constrain how frontier systems are rolled out.


