GCC AI News — 13 Oct 2026

The UAE has established the Federal Authority for Artificial Intelligence and Data as a single national umbrella for managing data, AI and digital government, reporting directly to the Cabinet and led by Omar Sultan Al Olama, Minister of State for AI. A WAM report on 11 October set it alongside the federal Agentic AI Project, which aims to transform half of federal government services into autonomous, AI-driven models within two years. The Authority will develop the national AI strategy, run AI-powered national data platforms for evidence-based decisions, and set standards for responsible data and AI use across federal entities.

Pulling three separate offices into one mandate gives the UAE a clear, coordinated engine for AI in government instead of scattered initiatives. It is how a country turns ambition into consistent, well-governed public services.

A resident gets proactive, joined-up digital services, where a single platform anticipates a license renewal or benefit rather than making them chase multiple departments.

HUMAIN, the AI company of Saudi Arabia's Public Investment Fund, announced that AMD Instinct MI355X GPU-based AI infrastructure, built on Cisco Silicon One networking and AMD EPYC CPUs, is now live in Saudi Arabia and serving HUMAIN customers in the Kingdom and beyond. The system delivers GPU-as-a-service for everything from model training to inference. The partners plan a far larger deployment of up to 250 megawatts starting in 2027 using next-generation AMD Instinct MI400 GPUs, part of a roadmap toward up to 1 gigawatt of AI infrastructure by 2030.

Moving from announcement to a running, revenue-serving cloud is the hard part. Locally hosted frontier compute lets Saudi organisations build and run AI on data that stays in the Kingdom, turning sovereign AI from a slogan into working infrastructure.

A Saudi enterprise rents GPU capacity from HUMAIN to train and serve its own models, keeping sensitive data in-country while using the latest accelerators without building a data centre itself.

Abu Dhabi's Technology Innovation Institute launched three new AI models on 7 October. Falcon-Emirati is a 7-billion-parameter language model purpose-built for Emirati Arabic, capturing the dialect's vocabulary, idioms and cultural context. It arrived alongside Falcon-ASR, a compact speech-recognition model that transcribes spoken Standard and Emirati Arabic plus English, French, Spanish and Portuguese, and Falcon-OCR-Arabic for extracting Arabic text from images and documents. Faisal Al Bannai of ATRC said the UAE's language belongs in the future it is building, and TII CEO Dr Najwa Aaraj said sovereign AI must reflect the language people use in daily life.

Most large models flatten regional dialects into generic Arabic. A model that understands Emirati speech makes AI services feel native, and keeps the capability to improve it inside the country.

A UAE government call centre uses Falcon-ASR and Falcon-Emirati to understand callers speaking local dialect, transcribe the conversation and respond naturally, instead of forcing people into formal Standard Arabic or English.

A WAM feature on 11 October highlighted Abu Dhabi's intelligent surgical network, which the Department of Health describes as the first of its kind globally. Developed with Johnson & Johnson's Polyphonic open digital ecosystem and partners including AWS, NVIDIA and Core42, it connects operating rooms across Cleveland Clinic Abu Dhabi, PureHealth, Mediclinic and NMC Healthcare. Surgical teams get advanced analytics and clinical insights at the point of care, while anonymised data stays within Abu Dhabi's sovereign infrastructure. Officials stress that AI here is decision support, not decision making, with the surgeon always in charge.

Connecting hospitals into one governed learning system means best practice spreads quickly and every procedure can improve the next, with data kept local and the clinician in control. It is responsible, patient-first AI at system scale.

A patient benefits from the same AI-supported precision whichever participating hospital they visit, as surgeons draw on insights distilled from the whole network rather than one operating room's experience.

Abu Dhabi's Department of Government Enablement launched AiNative on 7 October at the Ai Everything conference, an AI training programme built with OpenAI, Microsoft and Mohamed bin Zayed University of Artificial Intelligence. It aims to upskill 20,000 government employees by the end of 2026 with practical training on tools like ChatGPT, Codex and Microsoft 365 Copilot, with specialised coding and data certifications to follow. Citizens and residents can access a public learning journey through the Tomouh app using UAE Pass, covering everyday uses from managing finances to running a small business.

Abu Dhabi is treating AI skills as public infrastructure, not just an enterprise tool. Putting training in reach of every employee and resident is how a government turns model access into real, widespread capability.

A resident logs into Tomouh with UAE Pass and follows a guided journey to use AI for a small-business plan, budgeting and a job application, building confident, responsible everyday AI habits at no cost.

Saudi Arabia's HUMAIN developed humain-m3, which it calls a frontier-grade Arabic language model, pre-trained on more than a trillion tokens of native Arabic content. In the company's own evaluation across seven Arabic benchmarks it averaged 89.37%, edging out leading international models on that suite, though the figures are HUMAIN's self-reported results. The 428-billion-parameter mixture-of-experts model activates only 23 billion parameters per token for efficient inference, is natively multimodal across text, images and video, and HUMAIN has committed to releasing open weights under a community licence after safety and alignment work.

Arabic is spoken by hundreds of millions yet remains underrepresented at the AI frontier. A capable, Arabic-first model built in the region, with open weights promised, gives Gulf developers and institutions a foundation they can own and extend.

A regional developer builds an Arabic customer-service assistant on humain-m3, getting strong dialect and cultural understanding out of the box rather than bolting Arabic onto a model designed for English.

GEMS Education unveiled GR8 School on 8 October in Dubai, describing it as a global-first model that fuses hyper-personalised AI-powered learning with specially trained teachers and real-world expertise. Students work through core academic material at their own pace using adaptive AI that tracks progress and flags when they need help or are ready for harder work, while teachers become Human Mentors focused on high-impact one-to-one support. The school day combines self-paced AI learning with roughly 90 minutes to two hours of teacher-led sessions plus enrichment. The first GR8 School is expected to soft launch in January 2027.

This reframes AI in education as a tool that frees teachers for the human parts of teaching rather than replacing them. A pace-based, mentor-led model is a thoughtful answer to the question of what classrooms should look like now.

A student races ahead in maths while taking more time on writing, with the AI adapting to each subject and the teacher spending the freed-up time coaching them individually where they struggle.

Oman issued a Royal Decree establishing an Artificial Intelligence Special Zone in Muscat Governorate, covering roughly 104,000 square metres in Seeb. Operating under the Special Economic Zones and Free Zones Law, it offers incentives, exemptions and facilities to attract local and international investors, and is expected to host AI, robotics and semiconductor firms alongside startups. OPAZ chairman Qais bin Mohammed al Yousef called it a qualitative leap in Oman's transition to a digital economy, aligned with Oman Vision 2040 and the Eleventh Five-Year Development Plan.

A physical zone with tax incentives and a clear mandate gives Oman a concrete home for AI companies rather than scattered policy. It is how a smaller Gulf economy competes for talent and investment in the sector.

An AI startup relocates to the Muscat zone to access incentives and a ready ecosystem of suppliers and talent, scaling its product for regional markets from a supportive base.

Bahrain's Information & eGovernment Authority launched the National Policy for the Use of Artificial Intelligence and adopted the GCC's Guiding Manual on the Ethics of AI Use. The policy sets a framework built on four pillars: legal compliance, AI use and adoption, public education and awareness, and local and international cooperation. It aligns AI use with national priorities, the Personal Data Protection Law and Economic Vision 2030, and iGA chief executive Mohammed Ali Al Qaed highlighted training workshops for government staff and a focus on responsible adoption in healthcare, education and public services.

Clear rules and a shared regional ethics manual let Bahrain scale AI in government with public trust intact. Getting the governance right early is what makes broad, safe adoption possible later.

A Bahraini ministry rolls out an AI service for citizens under the policy's rules, with data protection, transparency and ethics checks built in from the start so residents can trust the result.

AI Scholar MaternaCare, a maternal and reproductive healthcare platform developed by researchers at Hamad Bin Khalifa University's College of Science and Engineering, won second place and a grant in the GHAIN MENA Scale-Up Award, supporting its move from research into clinical deployment. Part of the HikmaTech ecosystem and built with Sidra Medicine, it combines AI-powered ultrasound image analysis, clinician decision-support tools and automated report generation into one workflow-ready system. It is designed to improve diagnostic consistency, keep physicians fully in oversight, support earlier identification of maternal and fetal risks, and reduce documentation burden, with a pilot deployment planned at a primary healthcare centre.

This is homegrown Qatari research moving toward real clinics, aimed at earlier detection and less paperwork for doctors. It shows the Gulf building practical, physician-led medical AI rather than importing it wholesale.

A clinician reviewing a routine ultrasound gets AI-flagged areas of concern and an auto-drafted report, catching a potential fetal risk sooner and spending more of the visit with the expectant mother.