On January 23, 2026, Gulf News reported that e& enterprise, the business technology arm of UAE telecom group e&, has partnered with US-based AI firm Emergence to deploy data‑sovereign AI systems across the Middle East, North Africa and Türkiye. The collaboration targets regulated sectors including banks, healthcare and government, promising AI deployments that keep sensitive data within regional jurisdictions. The deal builds on an earlier announcement from e& as Gulf governments ramp up AI spending while tightening data protection rules.
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 e&–Emergence deal is representative of a powerful regional trend: Gulf telcos and governments are racing to stand up their own AI stacks that satisfy local data-sovereignty and regulatory demands, rather than depending entirely on US hyperscalers. By targeting banks, healthcare and the public sector, this partnership goes straight after the most sensitive—and ultimately most lucrative—AI workloads in MENAT.
From a race‑to‑AGI perspective, moves like this matter because they diversify where powerful models are deployed and who controls the surrounding infrastructure. If Emergence can deliver credible, locally hosted AI for regulated industries, it both pressures Western clouds to offer similar options and gives regional players more leverage over the terms of access to cutting‑edge models. In practice, many of these “data-sovereign” stacks will still depend on US or allied chips and core research, but the control plane—who can run what on which data under whose law—shifts closer to Abu Dhabi, Riyadh and Ankara.
For global AI builders, it’s a reminder that the frontier isn’t just about model quality. Sovereignty, compliance and integration with incumbent telco and government infrastructure are becoming competitive differentiators in their own right.



