Stargate UAE Clears First Construction Milestone: 200 MW Cluster On Track for Q3 2026

## Stargate UAE Clears First Construction Milestone G42, OpenAI and Oracle have confirmed that Stargate UAE, their 30 billion dollar Abu Dhabi AI campus, has passed its first major construction milestone and remains on course to bring its first 200 megawatt cluster online in the third quarter of 2026. Khazna, the G42 data centre subsidiary leading the build, says civil, structural and architectural works are now well advanced across the first phase site. Mechanical, electrical and plumbing sys ## By The Numbers - **30 billion** - **$2 trillion - Combined Gulf sovereign wealth deployed toward AI and technology diversification** - **40% - Projected increase in MENA AI market size year-on-year through 2028** - **9 - Number of Arab states with published national AI strategies** tems are being finalised. All long-lead equipment has been procured, and the first shipments of mechanical systems have arrived on site. More than five thousand construction workers are mobilised, and the initial pour already uses over one hundred thousand cubic metres of concrete with steelworks weighing roughly one and a half times the Eiffel Tower.

For related analysis, see: [T800 Robot Kicks CEO to Debunk CGI Claims](/news/t800-robot-kicks-ceo-to-debunk-cgi-claims).

## Why it matters for MENA Stargate UAE is the anchor of the 5 gigawatt US-UAE AI campus announced last year, and the largest foreign AI infrastructure project in the region. The first 200 megawatts is meant to come online in Q3 2026, with full 1 gigawatt build-out targeted over three years. The compute will run Nvidia's Grace Blackwell GB300 platform with InfiniBand networking, with Cisco providing zero trust security and connectivity layers, and SoftBank and OpenAI among the founding partners.

For related analysis, see: [Egypt's Shift in AI Regulation](/news/egypts-shift-in-ai-regulation).

## Regional knock-on effects For the Gulf, Stargate is both a demand signal and a constraint. Power, water and grid connectivity for a 1 gigawatt campus push Abu Dhabi's utilities to scale beyond current data centre norms. Neighbouring hyperscale builds in Saudi Arabia by HUMAIN, Egypt's new data centre corridor, and Qatar's sovereign compute plans are now being calibrated against Stargate's timeline. Sovereign AI workloads, training runs for Arabic foundation models such as Jais, Falcon, ALLaM and NileChat, and government cloud migrations are all candidates for the first available capacity.

For related analysis, see: [Disney Orders Google to Cease AI Copyright Violations](/news/disney-orders-google-to-cease-ai-copyright-violations).

## What to watch next Three dates to mark: the first rack-level power-on milestone, expected summer 2026; the Q3 2026 200 megawatt go-live; and Khazna's promised three-year end-to-end build-out that would take the campus past 1 gigawatt during 2028. If any of these slip, the wider MENA AI infrastructure narrative slips with them.

For related analysis, see: [Smart Waste, Smart Water: How AI Is Solving the Gulf's Resou](/smart-cities/smart-waste-water-ai-gulf-resource-crisis).

**Sources:** G42 Newsroom · PR Newswire · The National · Gulf News

Further reading: UAE AI Office | OpenAI

## Frequently Asked Questions ### Q: How is the Middle East positioning itself in the global AI race?

Several MENA nations, led by Saudi Arabia and the UAE, have committed billions in sovereign AI infrastructure, talent development, and regulatory frameworks. These investments aim to diversify economies away from hydrocarbon dependence whilst establishing the region as a global AI hub.

### Q: What role does government policy play in MENA's AI development?

Government policy is the primary driver. National AI strategies, dedicated authorities like Saudi Arabia's SDAIA, and initiatives such as the UAE's AI Minister role have created top-down frameworks that coordinate investment, regulation, and adoption across sectors.

### Q: What are the biggest challenges facing AI adoption in the Arab world?

Key challenges include limited Arabic-language training data, talent shortages, regulatory fragmentation across jurisdictions, data privacy concerns, and the need to balance rapid AI deployment with ethical governance frameworks suited to regional cultural contexts.

Sources & Further Reading

• World Economic Forum - AI in MENA
• UAE AI Office - National AI Strategy 2031
• Hugging Face Arabic Models
• Technology Innovation Institute (TII)
• Saudi Data & AI Authority (SDAIA)