Qatar bets on cheap power to catch up in Gulf AI race

• Qatar seeks to catch up with Saudi and UAE
• Qatar has cheaper energy and deep pockets
• Challenges include data governance and chip access

Qatar is banking on its abundant, low-cost energy to make up for lost time in the Gulf’s artificial intelligence race, hoping that cheap power and deep pockets will help it catch up with regional rivals that have secured a head start.

The launch of Qai, backed by the country’s $526 billion sovereign wealth fund and a $20 billion joint venture with Brookfield, marks Qatar’s most ambitious move yet into a sector that is reshaping global technology and economics.

It joins massive investments in Saudi Arabia, and Abu Dhabi and Dubai in the United Arab Emirates, as part of the region’s broader efforts to diversify away from oil revenues.

But while energy advantage is a powerful lure for hyperscalers — the cloud giants such as Google, Microsoft and Meta driving AI adoption — analysts say the Gulf’s ambitions face structural hurdles that go beyond infrastructure.

Obstacles

To become significant players in AI, Gulf states must navigate a thicket of challenges: replicating Western-style data governance, securing scarce advanced chips under US export controls, and attracting top-tier talent in a fiercely competitive global market.

These factors, rather than capital alone, will determine whether the region can translate its financial firepower into meaningful influence in the AI ecosystem.

“The key component there we believe would be Qatar’s ability to emulate the American policy on data privacy laws… when you look around the world at the moment, the single biggest hindrance to significant AI deployment is the regulatory piece,” said Stephen Beard, global head of data centres at Knight Frank.

Qatar has disclosed few details about Qai, but its timing reflects surging demand for AI infrastructure as companies bet on the technology to drive efficiency and cut costs.

“The compute demand is so massive that any new infrastructure buildout in an energy-abundant Qatar that fronts financing is welcome news for American hyperscalers… In this phase of the AI buildout, there’s room for multiple players,” said Mohammed Soliman, senior fellow at the Middle East Institute in Washington.

However, analysts warn that capturing hyperscaler demand will require sustained investment and policy alignment over many years.

“We expect $800 billion to be spent on the AI data centre buildout in the Middle East over the next two years,” said Dan Ives, analyst at Wedbush.

Cheaper electricity

Qatar’s competitive edge lies in its low-cost electricity, which could offset the region’s high cooling costs in a desert climate. Emirates NBD notes Middle East PUE ratings — a measure of data centre energy efficiency — average 1.79 versus 1.56 globally.

Beard estimates Qatar could become a 1.5 to 2 gigawatt market by 2030 if it sustains cheap power and accelerates development. By comparison, Saudi Arabia’s Humain aims for 6GW by 2034, while the UAE’s G42 is building the first phase of a 5GW AI campus, set to rank among the world’s largest outside the US.

Qatar’s progress will be notable if it reaches 500 megawatts by 2029, said Jonathan Atkin, RBC’s global head of communications infrastructure, adding that utilisation rates will matter as much as capacity.

The UAE currently hosts 35 data centres, Saudi Arabia 20, and Qatar five, according to Emirates NBD. The US is home to more than 5,000.

Further reading:

• What’s happening with AI in the Gulf?
• AI spending mushrooms in the Gulf, but returns remain elusive
• Sovereigns, not VCs, are shaping the Gulf’s AI future

With its sovereign wealth, Qatar brings financial muscle but faces a steep climb against entrenched rivals.

“I think it is fair to say Qatar/Doha is the late entrant in a four-horse race,” said Counterpoint Research director Marc Einstein, referring to Saudi Arabia and the UAE’s Abu Dhabi and Dubai. “It does have some advantages… but in terms of volumes and scale, Qatar’s neighbours are in a much better position.”

Beyond infrastructure, compliance is critical. Humain and G42 must adhere to strict US rules on chip usage to secure US tech giant Nvidia’s most advanced Blackwell processors. Qai will need similar assurances to Washington.

“The US wants a clear line of sight into where every chip is, who is using it, and what networks it touches. That means detailed reporting, on-the-ground checks, strict rules for technicians from high-risk countries… It’s something the US will be watching closely over time,” Soliman said.