On September 2, 2026 the UAE Cabinet approved a new Cabinet AI Advisor system that uses 32 specialized AI advisors to analyze policies, legislation and global best practices and to support ministers’ decision-making. The Cabinet also approved training for 22,000 teachers to use AI in classrooms and the rollout of an AI curriculum across UAE schools.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
The UAE’s Cabinet AI Advisor is one of the clearest examples yet of a national government formally embedding agentic AI into top‑level decision processes. Rather than a single chatbot, the system is described as 32 specialized advisors that continuously analyze legislation, policies and global benchmarks, and work “around the clock” with ministers. That is a significant step beyond pilots or back‑office automation; it institutionalizes AI as a standing participant in cabinet‑level governance.([arnnewscentre.ae](https://www.arnnewscentre.ae/en/news/uae/uae-advances-ai-and-government-development-initiatives/))
For the race to AGI, this matters in two ways. First, it shows how early‑adopter states are willing to move fast and centralize AI capacity at the heart of government, which will create demand for highly capable reasoning systems long before more cautious democracies are ready. Second, as more strategic decisions are pre‑filtered through national AI advisors, countries that invest aggressively in these systems could iterate policy and industrial strategy faster, compounding their advantage in AI, energy, logistics and defense.
This also sets a precedent other governments will either emulate or use as a contrast point in arguing for more human‑centric processes. Over time, a divergence may appear between “AI‑first” states that delegate large parts of analysis to agents and “human‑first” states that use AI more sparingly. That divergence could itself shape global norms around AI safety, accountability and sovereignty.


