GCC AI News — 4 Oct 2026

HUMAIN, the AI company backed by Saudi Arabia's Public Investment Fund, signed EY MENA to develop what the companies describe as the Kingdom's first AI-native business process outsourcing service, underpinned by HUMAIN's full-stack AI ecosystem. The service combines intelligent agents, automation, advanced analytics and human expertise into integrated operating models, aiming to help organisations improve efficiency and accelerate decision-making. HUMAIN provides the underlying technologies, infrastructure and agentic platform, built on its Humain ONE platform and the ALLAM Arabic language model, while EY contributes expertise across finance, audit, tax and advisory. CEO Tareq Amin said the goal is a new operating model where intelligent agents, automation and human expertise work as one.

This moves AI from isolated tools to running whole business processes, and does it from Saudi Arabia for regional and eventual global customers. Pairing home-grown Arabic AI with global professional-services expertise supports Vision 2030's push toward a knowledge economy and keeps high-value work in the Kingdom.

A Saudi enterprise can hand an entire back-office function, such as compliance reporting or procurement, to an AI-native service built on local infrastructure and Arabic models, rather than stitching together separate tools and offshore teams for each step.

Ahead of Ai Everything Abu Dhabi 2026 on October 6-7, which organisers call the world's largest AI-first expo with more than 400 companies and over 180 speakers from 70-plus countries, Microsoft detailed its rollout of Microsoft 365 Copilot to 35,000 Abu Dhabi government employees. The programme, part of Abu Dhabi's push to become the world's first AI-native government by 2027, is meant to help staff make better-informed decisions, streamline processes and spend more time on public service, underpinned by in-country data residency and responsible-AI safeguards. The summit, hosted by the Department of Government Enablement, will also showcase working AI in research, energy and heavy industry.

Putting modern AI assistants on the desks of tens of thousands of civil servants is one of the most concrete tests of whether AI actually improves public services. In-country data residency shows the UAE pursuing productivity gains while keeping citizens' data under national control.

A government department can follow Abu Dhabi's template, deploying a vetted AI assistant to staff for drafting, summarising and data lookup, with data kept in-country, to cut routine administrative time while maintaining control over sensitive information.

Dubai's Knowledge and Human Development Authority (KHDA), DP World Foundation and MIT's Responsible AI for Social Empowerment and Education (MIT RAISE) launched a multi-year AI literacy programme for private schools, expected to reach around 80,500 students and support roughly 3,600 teachers. Running until February 2030, it focuses on Grades 6-8, with short practical modules across Maths, Science, Computing, Art, English and Arabic teaching how AI works, how to evaluate AI outputs, and how to use AI tools responsibly. Teachers receive professional development and a curated portal of age-appropriate tools, and a separate enrichment track adds mentorship and capstone projects for high schoolers. The programme aligns with Dubai's Education 33 strategy.

AI literacy for children, built around critical thinking and responsible use rather than just tool skills, is how a region builds a workforce that can shape AI instead of merely consuming it. Training thousands of teachers alongside students makes the effort durable rather than a one-off.

A school or ministry elsewhere in the Gulf can adapt this model, embedding short AI modules into existing subjects and training teachers first, so pupils learn to evaluate and question AI outputs as a core skill rather than in a standalone computing class.

AMD, Cisco Systems and HUMAIN expanded their AI infrastructure collaboration in Saudi Arabia, with AMD Instinct MI355X GPU-based systems now live and serving customers in the Kingdom and overseas. The production infrastructure combines AMD Instinct MI355X GPUs and EPYC CPUs with Cisco Silicon One networking and 800G optics, letting HUMAIN offer GPU-as-a-service for AI training and inference. The companies plan up to 250 megawatts of additional AI infrastructure beginning in 2027 using AMD's next-generation MI400 Series, with the joint venture on track to deploy up to 1 gigawatt of AI capacity by 2030 to meet demand for sovereign AI.

Locally hosted, large-scale compute is the foundation that lets Saudi developers, businesses and public services build advanced AI without sending data abroad. A multi-vendor build-out at this scale turns years of ambition into capacity that organisations can actually rent and use today.

A Saudi company or research team can rent GPU-as-a-service on HUMAIN's local infrastructure to train or run AI models, accessing frontier-grade accelerated computing while keeping sensitive data inside the Kingdom.

AIQ, the Abu Dhabi venture formed by Presight and ADNOC Group, continues to scale ENERGYai, described as the first agentic AI solution for the energy sector, developed with G42 and Microsoft and trained on decades of proprietary operational data. It deploys specialised AI agents that autonomously handle complex tasks such as seismic analysis, real-time process monitoring and reservoir modelling, accelerating work like development planning from years to weeks while cutting costs and emissions. Built in-country for data sovereignty, ENERGYai will feature at Ai Everything Abu Dhabi 2026, where AIQ leaders will discuss how energy producers are reinventing operations through AI.

Energy is one of the Gulf's most important industries, and using AI to make it more efficient and lower-emission is a direct, civilian benefit of the region's AI investment. Building the system in-country reflects a deliberate focus on data sovereignty alongside industrial gains.

An energy or heavy-industry operator can study ENERGYai's agent-based approach, assigning narrow, data-rich tasks like equipment monitoring or planning to specialised AI agents, to compress project timelines and reduce waste rather than deploying one general-purpose tool.

Bahrain is advancing a broad AI agenda built on policy, ethics and skills, the Information & eGovernment Authority's chief executive Mohammed Ali Al Qaed outlined, including a national initiative through the Labour Fund 'Tamkeen' to train 50,000 Bahrainis in AI by 2030. The Kingdom has introduced more than 70 AI-related academic programmes, launched bachelor's and master's degrees in AI, and built an AI Talents Programme and an iGA Innovation Lab. Bahrain has also consolidated a National AI Policy, AI Procurement Guidelines developed with the World Economic Forum, and AI Ethics Principles adopted at the GCC level, alongside home-grown prototypes such as a national generative virtual assistant for government services.

Bahrain shows a smaller Gulf state can lead on the governance and talent side of AI rather than competing on compute alone. A concrete pledge to train 50,000 people, paired with clear procurement and ethics rules, builds the human and institutional base that lasting AI adoption depends on.

A Bahraini professional or student can enrol in Tamkeen-backed AI training, new university degrees or the AI Talents Programme to gain job-ready skills, while government bodies can use the published procurement guidelines to evaluate AI vendors responsibly.

Oman issued Royal Decree No 50/2026 establishing an Artificial Intelligence Special Zone in Muscat Governorate, a roughly 104,000-square-metre site in Seeb set to host sectors including semiconductors, robotics and AI. Overseen by the Public Authority for Special Economic Zones and Free Zones (OPAZ) in coordination with the Ministry of Transport, Communications and Information Technology, the zone will offer investors incentives and exemptions and serve as a hub for AI startups from Oman and abroad. Officials called it a qualitative leap in Oman's transition to a digital economy, aligned with the 2026-2030 Five-Year Plan and Oman Vision 2040, with an executive roadmap covering governance, investment policy and performance indicators under preparation.

A purpose-built zone with incentives and a clear governance roadmap gives AI companies a concrete place to set up, scale and reach regional markets. It signals Oman converting national AI strategy into physical infrastructure and investment, diversifying its economy beyond oil.

An AI or robotics startup, local or international, can base itself in the Muscat zone to access investor incentives, tax exemptions and integrated infrastructure, using Oman as a launchpad into wider Gulf markets.

The United Nations Development Programme (UNDP) and Kuwait's Central Agency for Information Technology (CAIT) carried out an assessment of the country's artificial intelligence landscape to identify opportunities and priorities for responsible AI use. Using UNDP's AI Landscape Assessment diagnostic tool, the work focuses on three connected areas: Kuwait's broader AI ecosystem, the use of AI in government, and AI regulation and ethics. UNDP and CAIT convened representatives from government, the private sector, academia, civil society and development partners, whose input will build an evidence base to show where AI can most improve public services, productivity and innovation while informing future priorities.

Grounding national AI plans in a careful, inclusive assessment, rather than rushing to deploy, is a mature approach that helps a country target AI where it genuinely adds value and govern it responsibly. Bringing civil society and academia into the process builds public trust from the start.

Another government can adopt the same diagnostic-first approach, mapping existing AI capabilities, gaps and ethical risks across public, private and academic sectors before committing budget, so investment targets real needs rather than hype.

Rafeeq, one of Qatar's leading digital commerce and delivery platforms, announced a strategic AI transformation partnership with Google to become an AI-first company operating at scale. The collaboration spans four pillars: replacing Rafeeq's search with advanced end-to-end AI-powered search; optimising operations including demand planning, item planning and route assignment; equipping employees with business-intelligence training; and powering personalised ranking and recommendations across the app. CEO Abdullah Thamer Alhemaidi said the company is not simply adopting AI tools but transforming how it operates, aiming to set a new benchmark for digital commerce innovation in Qatar and the region.

A local company embedding AI across search, logistics, staff skills and customer experience shows AI delivering everyday value, faster deliveries, better recommendations, more capable employees, rather than sitting in a lab. Investing in employee data skills alongside the technology keeps people central to the transformation.

A regional retailer or delivery business can follow the four-pillar model, upgrading search and route planning with AI while training staff in data skills, so the technology improves both customer experience and the workforce's capabilities at once.

Artificial intelligence adoption across the Gulf Cooperation Council has risen sharply, reaching about 84% overall, with the UAE reporting near-universal use in government services at around 97%, according to figures highlighted in regional reporting. Officials say the UAE aims to integrate agentic AI into half of all public services within two years. The surge spans public and private sectors across the Gulf and reflects years of national strategies, sovereign cloud build-outs and skilling programmes now translating into everyday use, as governments move from pilots to large-scale deployment of AI assistants and autonomous agents in citizen-facing services.

Adoption rates this high, especially near-universal use inside government, mark the Gulf as one of the fastest-moving AI regions in the world. It shows the payoff of coordinated national strategies and signals that AI is becoming a standard part of how Gulf public services are delivered.

A public agency in the region can benchmark itself against these adoption levels and prioritise the citizen services where AI assistants and agents most improve speed and accuracy, learning from neighbours already deploying at scale rather than starting from scratch.