19 Jun 2026

Insights & Opinions, Data Centres

The GCC’s AI race will be won on infrastructure

Written by Yousef Maayah

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For the last two years, the global AI conversation has been dominated by announcements. Bigger models. Larger investments. Faster adoption. In the GCC, however, the conversation is beginning to shift. AI is no longer simply a technology story. It is becoming an infrastructure challenge.

Across the UAE and Saudi Arabia, national AI strategies, hyperscale expansion, sovereign cloud programmes, and enterprise digital transformation initiatives are accelerating demand for data centre capacity at unprecedented speed.

The ambition is clear. The question now is whether infrastructure ecosystems can scale quickly and resiliently enough to support it?

This is where the conversation becomes more complex. AI workloads are fundamentally changing infrastructure requirements. Higher-density compute environments demand significantly greater power availability, more advanced cooling strategies, and increasingly resilient operational models.

At the same time, delivery expectations continue to accelerate. Hyperscalers and major investors are pushing for faster deployment timelines while also expecting long-term reliability, sustainability, and scalability. Balancing all three simultaneously is becoming one of the defining infrastructure challenges of the region’s AI growth story.

One of the biggest changes we are seeing across GCC projects is the speed at which power and cooling requirements are evolving. Just two years ago, most discussions centred around traditional hyperscale deployments. Today, nearly every major project includes conversations around AI readiness, higher rack densities, liquid cooling strategies, and future scalability. Clients are increasingly asking not only how much capacity can be delivered today, but how easily facilities can adapt to the next generation of AI workloads.

What makes the GCC particularly interesting is the pace at which this transformation is happening.

Many global markets have expanded digital infrastructure gradually over time. In the GCC, AI demand, hyperscale expansion, cloud growth, and national digital economy programmes are all advancing simultaneously.

That creates enormous opportunity, but it also places increasing pressure on the infrastructure ecosystem supporting that growth.

Power availability is becoming more strategically important. Cooling demands are increasing as AI workloads generate significantly higher thermal loads. Supply chains remain under pressure in certain areas, while delivery timelines continue to tighten across the market.

In the region, these challenges are further shaped by regional operating conditions. Extreme ambient temperatures, long-term sustainability expectations, and increasing scrutiny around operational resilience all influence how facilities must be designed and delivered.

This means infrastructure readiness is becoming just as important as infrastructure ambition.

In many discussions with developers, hyperscalers, and enterprise clients across the region, a common theme continues to emerge: infrastructure has become the critical path. The ambition and investment are already there, but success increasingly depends on how quickly power, cooling, supply chains, and project delivery can keep pace. The conversation has shifted from "Should we invest in AI?" to "How do we build the infrastructure fast enough to support it?"

The organisations that succeed in this environment will not simply be the ones building the most capacity. They will be the ones capable of delivering resilient, scalable infrastructure that can operate reliably under increasing performance demands over the long term.

That requires a shift in thinking. The next phase of AI growth in the GCC will depend less on headline investment announcements and more on execution capability across the wider infrastructure ecosystem.

It will depend on how quickly projects can move from strategy to delivery. How effectively power, cooling, and operational resilience can be balanced. And how sustainably infrastructure can scale as AI adoption accelerates further.

This is particularly important because facilities being designed today are expected to support technologies and compute requirements that will continue evolving rapidly over the next decade.

Short-term thinking will not be enough. The most successful organisations will be those that design infrastructure not only for current AI demand, but for long-term operational resilience and adaptability.

Looking ahead, I believe we will see a growing divide between facilities designed specifically for AI workloads and those built around more traditional data centre requirements. Over the next five to ten years, competitive advantage will increasingly be defined by access to power, cooling innovation, and the ability to rapidly scale infrastructure. The organisations that plan for this today will be best positioned to support the next wave of AI growth across the GCC.

The GCC has already established itself as one of the world’s most ambitious digital infrastructure markets. The next challenge is ensuring the infrastructure foundation evolves at the same pace as the region’s AI ambitions.

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