GCC AI News — 29 Sep 2026

HUMAIN, the PIF-owned Saudi AI company, launched its AI Cloud built on NVIDIA's Blackwell Ultra platform, with locally hosted accelerated computing already supporting workloads for government and enterprise customers across the Kingdom. The infrastructure powers AI-enabled services including regulatory inspections, commercial fraud detection and streamlined business registration, helping speed up services and cut processing times. HUMAIN said it currently runs 1.1 MW of operational capacity across 57 NVIDIA HGX B300 systems, serving six government and enterprise customers with 16 leading AI models in production, and plans to expand to 35.1 MW by 2027.

It marks a shift from AI ambition to AI in production: a Gulf nation running frontier-grade compute on its own soil, under its own governance, to improve everyday public services. Sovereign infrastructure like this lets Saudi organizations build with their own data and keep sensitive workloads in-country.

A public agency can move a high-volume service like business registration or inspections onto locally hosted AI infrastructure to cut waiting times while keeping citizen data within national borders.

The Institute of Foundation Models (IFM) at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) launched K2 Horizon, a fleet of six AI foundation models ranging from 0.9 billion to 375 billion parameters. Every model is released fully open — weights, code, training data and methodology — so researchers and developers worldwide can inspect, reproduce and adapt them. MBZUAI called it the largest fully open model release in AI history. The models span from tiny on-device sizes for watches and glasses up to enterprise-scale, are available on Hugging Face, vLLM, SGLang and Ollama under the Apache 2.0 license, and run on NVIDIA, AMD and Cerebras hardware.

It cements the UAE's role as a builder of frontier-grade AI that is shared openly rather than locked away. Full transparency — data and method, not just weights — advances open science globally and gives developers everywhere an auditable base to build dependable, reasoning-focused applications.

A startup or university lab can build on a fully open K2 Horizon model, inspect exactly how it was trained, and fine-tune the right size for its hardware — from a phone to a workstation — without paying for a closed API.

Sheikh Mohammed bin Rashid Al Maktoum, UAE Vice President, Prime Minister and Ruler of Dubai, approved the establishment of the Artificial Intelligence and Data Authority, a single national body responsible for data, AI and digital government, reporting directly to the Cabinet. It consolidates functions previously held by three separate entities, including the Office of Artificial Intelligence and the UAE Data Office. Omar Sultan Al Olama, Minister of State for Artificial Intelligence, was appointed chairman. The Authority will develop the national AI strategy, grow the digital economy's contribution to GDP, manage government data quality and sharing, and set standards for responsible AI and digital transformation across federal entities.

Unifying AI, data and digital government under one accountable mandate is a practical governance move that many countries are still debating. It positions the UAE to deploy AI across public services coherently, with clearer standards and oversight rather than fragmented efforts.

A government considering AI at scale can consolidate scattered data and AI offices into one authority with a clear mandate, making it easier to set standards, share data safely and deploy services consistently.

Oman's national project to screen for diabetic retinopathy using AI has delivered major health and operational gains, making it the third country in the world to implement such a program. The AI system has analyzed more than 43,000 retinal images and identified over 12,000 patients — about 30 percent of those screened — who needed specialized clinical examination, enabling early intervention. It achieved 91.3 percent diagnostic accuracy and 85 percent sensitivity, cut waiting lists at specialized eye clinics by 87 percent, and reduced average waiting times from 62 days to eight during its first seven months. Assessment time dropped from up to 1.5 hours to around 15 minutes. The first phase runs across 25 health institutions, with plans to expand to remote areas and to glaucoma and keratoconus screening.

This is AI delivering measurable public-health benefit, not a pilot demo. Around 15 percent of Oman's adults have diabetes, so catching eye complications early prevents avoidable vision loss while easing pressure on specialist clinics — a template for equitable, tech-enabled care.

A health ministry can deploy AI retinal screening in primary-care clinics to triage patients quickly, flag those who truly need a specialist, and extend early detection to remote areas that lack eye doctors.

Qatar's Ministry of Communications and Information Technology (MCIT), with Google Cloud and through the Qatar Digital Academy, launched a national upskilling initiative that will provide more than 50,000 training seats by 2030. The program builds skills in AI, cloud computing and advanced digital technologies, with pathways starting from foundational digital literacy and extending to specialized programs for leaders, technical professionals and developers. Announced at Google Cloud Summit Doha 2026, it builds on more than 12,000 people already trained over five years and supports Qatar's Digital Agenda 2030 target of creating around 26,000 ICT jobs by 2030.

Access to AI tools matters little without people who can use them. A structured, nationwide skilling program is one of the highest-leverage ways to spread AI's benefits across an economy and prepare a workforce for agentic-AI adoption already underway in Qatar's government and firms.

An employer or ministry can partner with a cloud provider to build a tiered training pathway — foundational skills for everyone, specialized tracks for developers and leaders — rather than relying on ad-hoc, one-off courses.

Ayah bint Hamid al Kendi's AI project, 'Project Sentinel', was ranked among the 13 best projects out of 738 entries from around the world at the London International Youth Science Forum (LIYSF). The project uses AI to detect money laundering and other financial crimes, analyzing large volumes of financial data, spotting suspicious patterns and flagging risks faster than conventional systems. Al Kendi was among ten Omani delegates sent to the forum by the Research and Innovation Authority following a national selection of STEM projects, and was one of a handful invited to deliver a special three-minute pitch. She described the recognition as a reflection of young Omanis' scientific ambition and their growing role in technology-driven solutions under Oman Vision 2040.

It puts a spotlight on homegrown Gulf talent and youth innovation, showing that the region's AI story is about people as much as infrastructure. Recognition on a global stage inspires the next generation of Omani builders and signals real depth in the national talent pipeline.

A school or research authority can run national selection contests that send top young innovators to international forums, giving students real-world exposure and encouraging practical AI projects in fields like financial security.

Invest Qatar and Brain Co, a Silicon Valley-based applied AI company, announced a partnership to accelerate AI adoption, advance digital transformation and strengthen Qatar's position as a regional hub for technology and innovation. The agreement sets a framework to jointly identify, develop and support AI adoption initiatives and pilot programs with public and private sector stakeholders. A key focus is talent development and upskilling through training, knowledge transfer and capacity building. Invest Qatar will help Brain Co expand its footprint and connect with government and private partners. The partnership builds on Brain Co's plan, announced at Web Summit Qatar 2026, to open a flagship Doha office. It aligns with Qatar's Third National Development Strategy and National AI Strategy.

Attracting a global AI company while insisting on knowledge transfer is how a country builds lasting capability rather than dependence. Pairing pilot programs with local talent development means AI expertise takes root in Qatar's own workforce and ecosystem.

An investment agency can structure partnerships with foreign tech firms to require local training and knowledge transfer, ensuring skills and capability stay in the country after the pilots end.

The UAE Cyber Security Council (CSC) and Open Innovation AI launched a specialized AI model for cybersecurity, developed collaboratively in the UAE to help professionals and organizations address increasingly complex digital threats. The model combines the Council's cybersecurity expertise with Open Innovation AI's engineering capabilities and is designed for uses including vulnerability analysis, secure code analysis and remediation, incident investigation, security advisory analysis and support for cybersecurity operations. It aims to give security teams faster, better-informed tools to keep organizations and their systems safe.

As organizations across the Gulf digitize, protecting them from online threats becomes essential public infrastructure. A locally built model tuned to the region's needs helps security teams find and fix weaknesses faster, strengthening trust in the digital services people rely on every day.

A security team can use a purpose-built AI assistant to scan code for weaknesses, suggest fixes and speed up incident investigation, freeing analysts to focus on the hardest problems.

Omar Sultan Al Olama, UAE Minister of State for Artificial Intelligence, reaffirmed that the country is accelerating the adoption of agentic AI across government to enhance performance and strengthen public services, sharing its experience developing a next-generation agentic AI-powered government app store. The push builds on the roll-out of a National Artificial Intelligence System that, following successful cabinet trials, extends advisory capabilities to boards across federal entities and government companies. International indicators cited by officials have ranked the UAE first globally in telecommunications infrastructure, digital skills and AI adoption.

Agentic AI — systems that set goals, plan and carry out multi-step tasks — is the frontier the whole industry is chasing, and the UAE is applying it to real government work. Sharing the blueprint openly helps other public bodies learn how to deploy autonomous agents responsibly at scale.

A public administration can pilot agentic AI on well-defined internal workflows first, prove it in controlled trials, then extend the same system to advise decision-makers across departments.

Bahrain's Labour Fund (Tamkeen) is running an ambitious national initiative to train 50,000 Bahrainis in artificial intelligence by 2030, part of the kingdom's broader effort to build an AI-ready workforce and position itself as a regional hub for AI development and research. The program is designed to equip citizens across sectors with practical AI skills, supporting Bahrain's push to grow local capabilities and adopt AI across public and private organizations. It sits alongside the country's work to become a regional research-and-development hub and to embed AI in public-sector services and sustainable development.

Widespread AI literacy is one of the most durable ways a small economy can stay competitive. By investing directly in citizens' skills, Bahrain aims to make sure the benefits of AI reach its own workforce rather than depending on imported expertise.

A national labour fund can subsidize AI training for citizens across industries, building a broad base of practical skills so local workers can lead AI adoption in their own organizations.