In the new race for artificial intelligence (AI) supremacy, the Gulf states are no longer content with just buying technology. Now, it is spending billions to become a builder, broker and possibly a global player.

From sovereign wealth funds deploying massive capital into advanced chips, data centers, and frontier models, to universities producing Arabic-language AI research and governments embedding AI into national strategy, the region is engineering an ecosystem designed not simply to catch up, but to carve out influence in one of the century’s most consequential industries.

Yet the main question remains whether regional ecosystems can genuinely compete with established powerhouses such as Silicon Valley, Shenzhen, and Europe – or risk becoming well-funded extensions of foreign technology dominance.

The answer may depend less on capital and more on whether the Gulf can turn its financial firepower into lasting local innovation.

CAPITAL AS STRATEGY

Across Saudi Arabia, the UAE, and Qatar, AI ambitions are being accelerated by state-backed investment vehicles.

“Sovereign wealth funds are instrumental in shaping national AI ambitions and the region’s broader objective of becoming a global AI hub,” says Javier Herrera, Senior Partner at Kearney and Middle East and Africa.

Herrera sees sovereign funds as strategic architects that align national AI goals with global market opportunities. “These SWFs act as both strategic investors and ecosystem builders,” he says, adding that the approach mixes investment with long-term planning.

Saudi Arabia’s Public Investment Fund has launched major initiatives including Humain, with the aim of creating a full-stack AI platform, while the UAE’s Mubadala has backed G42 and MGX, positioning Abu Dhabi at the center of international AI partnerships.

Herrera says these investments are about building economic foundations as much as advancing technology. He points to Stargate UAE, a large AI compute cluster in Abu Dhabi developed with partners like OpenAI, Oracle, and Nvidia, as proof that sovereign-backed partnerships can turn foreign expertise into local infrastructure and skills.

“Beyond capital, regional SWFs align national visions, attract talent and de-risk early-stage innovation,” Herrera says. That ability to absorb global partnerships while building domestic institutional strength, he suggested, may become one of the Middle East’s defining competitive advantages in the AI race.

By deploying sovereign wealth strategically, Gulf countries are shaping both their digital futures and their place in the global AI value chain.

BUILDING, NOT COPYING

The region’s opportunity lies not in replicating Silicon Valley, but in selectively adapting lessons from global hubs, says Chiara Spina, Professor of entrepreneurship at INSEAD.

“Successful ecosystems are not copied; they are designed,” she says.

Spina says Silicon Valley shows the value of strong ties between universities and industry, Singapore highlights the need for coordinated policies, and Shenzhen demonstrates the importance of large-scale infrastructure.

“What makes the Gulf distinctive is that these lessons are being applied in parallel rather than sequentially,” she says.

This means the Gulf is investing in computing power before startups mature and is building research centers, policies, startup networks, and infrastructure all at the same time.

This fast-paced model could prove transformative, but it also adds complexity.

“The broader challenge is coordination,” Spina notes. “Building connection, trust, and solid processes between universities, founders, and investors takes time, even when capital and policy support are in place.”

THE TALENT GAP REMAINS THE BIGGEST RISK

Despite its financial strength, the region’s biggest challenge is finding enough skilled people. 

“The main gaps are talent depth, research quality, and commercialization,” says Dr. Imran Zualkernan, Head of the Department of Computer Science and Engineering at American University of Sharjah.

Although the UAE’s AI talent pool has grown a lot recently, the region still trails global leaders in engineering talent, basic research, and turning ideas into large-scale products.

“AI leadership depends on talent, research, infrastructure, startups, regulation, and partnerships,” Dr. Zualkernan says, adding that while the region is making progress in selected areas, “it is not yet realistic for the region to match the US or China across the full AI stack.”

The gap remains significant, he adds. “The US alone has over 5,400 data centers and invested $285.9 billion in AI in 2025, far exceeding other regions. Europe is also mobilizing €200 billion for AI development. While AI talent in the UAE grew by 121% between 2019 and 2025, the overall talent base remains small compared to global leaders.”

Institutions like MBZUAI, KAUST, and Qatar Computing Research Institute are helping close that gap, particularly in Arabic-language AI and applied machine learning. 

Yet experts agree that universities must become stronger commercialization engines, not simply research producers.

“Research is essential,” says Spina, “but what matters is the connective tissue around it – technology transfer offices, incubators, and institutions that continuously link researchers, entrepreneurs, and investors.”

Without these systems, good research might remain within universities and never become real businesses, products, or drivers of economic growth.

FOREIGN PARTNERSHIPS: ACCELERATOR OR DEPENDENCY?

Global partnerships have rapidly accelerated regional progress, but they also create strategic vulnerabilities.

Microsoft’s partnership with G42, OpenAI’s infrastructure alliances, and Nvidia’s role of hardware have undeniably strengthened the Gulf’s AI position. However, dependence on foreign chips, software, and expertise leaves ecosystems exposed to geopolitical shifts.

Recent US export controls on advanced chips show that AI supply chains are closely tied to politics.

“These dependencies do not prevent progress, but they require active management. And they sit alongside more structural challenges. Talent remains the most significant constraint, particularly at the level of experienced practitioners who can bridge research and large-scale deployment,” says Spina.

This is why sovereign AI models like Falcon and Qatar’s Fanar are so important. They are not just technical achievements; they show an effort to own key intellectual property, especially in Arabic-language systems.

However, building strong AI models is only part of the challenge. Long-term success will also require local chip strategies, strong cloud systems, new regulations, and ongoing talent development.

THE UAE’S EARLY LEAD—BUT COMPETITION IS INTENSIFYING

In the next five years, the UAE appears best placed to lead the region’s AI ecosystem due to its integrated strategy.

“It combines national strategy, government adoption, research capacity, infrastructure investment, and startup support,” says Dr. Zualkernan.

Through initiatives such as Falcon, MGX, Hub71+ AI, mandatory AI education, and Stargate UAE, the country has built one of the region’s most comprehensive frameworks.

Dr. Zualkernan adds: “AI education is now mandatory in schools, and large-scale infrastructure like Stargate UAE is coming online. This integrated approach gives the UAE an advantage over other regional players.”

But Saudi Arabia is moving aggressively, using PIF-backed capital and giga-project scale to rival the UAE’s lead, while Qatar is increasingly positioning itself through focused sovereign deployment and strategic partnerships.

Instead of one country leading, the region may develop into a network of specialized AI ecosystems, with different countries focusing on infrastructure, research, or industry.

CAN THE GULF GO GLOBAL?

The region is unlikely to dethrone the US or China in AI supremacy anytime soon. But global competitiveness does not necessarily require outright dominance.

Instead, the region’s opportunity may lie in becoming indispensable within strategic layers of the global AI economy: sovereign capital, energy-efficient compute, Arabic-language intelligence, and state-scale deployment.

The Gulf’s advantage lies not only in capital but in the speed and coordination with which governments, institutions, and investors are advancing AI ambitions. Governments are acting as orchestrators, not passive regulators. Sovereign wealth funds are functioning as venture engines. Universities are increasingly tied to industrial policy. And infrastructure is being deployed at an extraordinary pace.

The real test will be whether this momentum can mature into self-sustaining innovation.

If the region can successfully transform capital into capability, partnerships into independence, and infrastructure into intellectual leadership, it may not simply join the global AI race —it could redefine how emerging ecosystems compete in it.