On August 27, 2026, Emirati daily Emarat Al Youm reported that the UAE’s “Khobarat Al Emarat” (Emirates Experts) program held its second AI-focused training module, titled “From AI toolkit to AI returns,” for national experts. The session, involving entities such as the Prime Minister’s Office, the UAE Cybersecurity Council and Mohamed bin Zayed University of Artificial Intelligence, focused on turning technical AI knowledge into practical, governed deployments across UAE institutions.
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.
The UAE continues to treat AI capacity-building as a national capability, not just a hiring problem. By running a dedicated expert track that moves participants from understanding models to deciding where and how to deploy them, the state is effectively training an internal cadre of AI product managers, architects and governance leads. The involvement of the Prime Minister’s Office, cybersecurity authorities and MBZUAI underscores that this is about aligning technical capability with strategic and security priorities, not just experimentation in isolation. ([emaratalyoum.com](https://www.emaratalyoum.com/local-section/other/2026-08-27-1.2077351?utm_source=openai))
For the race to AGI, such programs are a force multiplier: high-quality local decision-makers make it more likely that powerful models are applied in high-leverage domains (infrastructure, security, digital government) in a reasonably safe and accountable way. They also position the UAE as a hub for AI governance expertise in the broader Middle East and Africa, which could influence regional standards and partnerships with frontier labs.


