The Gulf’s AI build-out: Who is paying, and where Qatari firms fit

Capital for artificial intelligence infrastructure is reaching the Gulf at a scale few regions can match. Analysys Mason expects investment in AI data centers across the Gulf Cooperation Council (GCC) to reach $5 billion to $7 billion in 2026, and more than $30 billion by 2030.¹ The commitments behind those totals range from funding facilities of a few hundred million dollars to a $20 billion joint venture in Qatar (Exhibit 1).

Most of this money is sovereign or global. Gulf sovereign funds, hyperscale cloud providers, and international infrastructure investors supply the capital, the chips, and much of the engineering. For companies in Qatar, the useful question is where they can take part in the build-out and on what terms. This article sets out who is paying, the constraints that will shape the next phase, and four moves for Qatari companies.

Who is paying: Sovereign vehicles, cloud providers and operators

Three types of investor account for most of the announced money. The first is the sovereign-backed vehicle that brings in a global infrastructure partner. In December 2025, Qai, the artificial intelligence company of the Qatar Investment Authority (QIA), formed a $20 billion joint venture with Brookfield to build AI infrastructure in Qatar and selected international markets, including an integrated compute center that will offer high-performance computing to the region.² Brookfield is investing through its AI infrastructure fund, which aims to mobilize up to $100 billion worldwide. In Saudi Arabia, the state-backed AI company HUMAIN has partnered with the data center operator AirTrunk on a planned $3 billion investment.¹

The second is the hyperscale cloud provider investing on its own balance sheet. Microsoft has committed $15.2 billion to the UAE between 2023 and 2029, including more than $5.5 billion of capital spending on AI and cloud infrastructure from 2026 to 2029.³ Amazon Web Services (AWS) is investing $5.3 billion in a cloud region in Saudi Arabia due to open in 2026, and has agreed with HUMAIN on an AI Zone backed by more than $5 billion of joint investment.⁴

The third is the regional operator, often backed by a telecommunications group. Syntys, the data center company backed by Ooredoo, had 26 megawatts (MW) of capacity live in Qatar after acquiring Q Data’s facilities in January 2026, with a further 7.5 MW under development, and targets more than 120 MW across the Middle East and North Africa by 2030.⁵ In Qatar, MEEZA has a $200 million funding facility for expansion; in the UAE, du has committed more than $500 million.¹

The structures differ in who carries the risk. Joint ventures with infrastructure funds share the capital cost and bring construction and operating experience. Hyperscalers fund capacity they will use themselves. Operators raise equity and debt against contracted demand from tenants. For local suppliers, the structure decides who places the contracts: global partners tend to bring their own standards and preferred suppliers, while operators building capacity in the country may source more of their services locally.

Qatar’s position: One large venture and a growing operator base

Qatar’s place in the regional build-out rests on two pillars. The Qai and Brookfield venture is the largest of the commitments in Exhibit 1, and it comes with government support for the skills and supply chain that the facilities will need.² Syntys and MEEZA provide the operator base, and Ooredoo launched a sovereign AI cloud in 2025 that keeps data and computing in the country.⁵

The sovereign investor has also signaled where it draws the line. In January 2026, AGBI reported that QIA was considering a more selective approach to AI and digital infrastructure, and that the fund would back companies after assessing their revenue, their ability to implement, and the productivity gains they deliver.⁶ For local businesses, that points to infrastructure built to commercial standards, with suppliers judged on their record.

What will shape the next phase: Power, chips and skills

Power comes first. Gartner forecasts that data centers worldwide will use 565 terawatt-hours (TWh) of electricity in 2026, up 26% from 447 TWh in 2025, and 702 TWh in 2027. Servers optimized for AI account for most of the increase (Exhibit 2).⁷ Gartner expects consumption to pass 1,200 TWh by 2030 and warns that grid supply will not keep pace with new construction. Regions that can add reliable generation quickly may have an edge in attracting capacity, which puts power planning at the center of every Gulf project.

Chips come second. The most advanced AI processors need US export licenses to reach the Gulf, and access is agreed deal by deal. Microsoft, for example, secured licenses to ship advanced Nvidia processors to the UAE after meeting cybersecurity and national security conditions.³ Projects whose hardware depends on such approvals carry a timing risk that investors will price.

Skills come third. The announcement of the Qai and Brookfield venture names investment in skills and the supply chain as part of the government’s support.² Large AI facilities need electrical, mechanical, network, and security specialists on site for their whole working life, which makes training and retention part of every operating plan.

Four moves for Qatari companies

Most of the local work falls into a handful of areas, each with its own entry tests (Exhibit 3). Companies that want a share of it can act now.

• Qualify before the tenders. Operators and their main contractors prequalify suppliers on safety, delivery record, and certification. Contractors, mechanical and electrical firms, and facility managers with experience of certified data center facilities and recognized standards, such as ISO/IEC 27001 for information security, will be easier to shortlist.
• Build for the life of the facility. Construction ends; operations, maintenance, and security continue for as long as the facility runs. Services delivered on site every day are where a local presence counts most, and where contracts tend to renew.
• Use the computing power in the country. A sovereign AI cloud already operates in Qatar, and the integrated compute center planned by Qai and Brookfield will add to it. Both make it possible to build AI applications that keep data in Qatar.
• Prepare the numbers. Investors and lenders assess data center ventures on contracted demand, power costs, and construction risk. Companies entering the supply chain, or building assets of their own, need a business plan and financial model that hold up to that review. Our strategy and business consulting in Qatar covers this work.

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The Gulf’s AI build-out is being financed by some of the deepest pools of capital in the world, and global partners will engineer and equip much of it. The share that stays in Qatar will depend on how many local companies are qualified, financed, and ready when the contracts are let.