An article by Alexander Rugaev, a serial entrepreneur, investor, and venture capital specialist focused on AI, robotics, and blockchain, with experience in venture financing and technology IPOs.

Artificial intelligence has rapidly become the primary destination for global venture capital. Aggregated data from PitchBook, CB Insights, and other industry trackers shows that AI companies raised roughly $270 billion in 2025, accounting for more than half of global venture capital investment that year. This marks the first time a single technology category captured over half of all VC funding globally, a sharp rise from just under 28% in 2023.

Much of the global conversation around AI investment focuses on generative models and the massive computing infrastructure required to train them. Both are important. Yet the broader structural conditions that determine where AI can scale sustainably often receive less attention.

Energy availability, regulatory frameworks, and access to long-term capital increasingly shape the geography of AI development. In that context, the Gulf Cooperation Council (GCC) occupies a distinctive position. The region combines relatively low energy costs, coordinated state-backed investment vehicles, and a startup ecosystem that remains less saturated than major Western markets. Together, these factors are beginning to shape a different investment thesis for AI in the region.

The energy constraint shaping AI infrastructure

The rapid expansion of AI workloads is already creating infrastructure challenges worldwide. According to McKinsey estimates, global demand for data centre capacity is expected to grow from 82 gigawatts in 2025 to roughly 219 gigawatts by 2030, with AI-related workloads accounting for a growing share of that demand.

While capital and hardware availability remain important, energy supply and grid capacity are emerging as critical constraints in many markets. In parts of the United States and Europe, rising energy prices, grid limitations, and regulatory approval timelines are beginning to influence how quickly hyperscale data centres can be deployed.

The Gulf region operates under different structural conditions. Access to large-scale energy production and coordinated infrastructure planning allows several GCC countries to position themselves as potential hosts for large computing clusters.

Qatar, for example, has been actively attracting hyperscale infrastructure investment, while Saudi Arabia has taken a more expansive approach. The kingdom’s Humain initiative, backed by the Public Investment Fund and partnered with companies including Nvidia, AMD, AWS, Qualcomm, and Cisco, targets 1.9 gigawatts of data center capacity by 2030, with longer-term ambitions of reaching 6 gigawatts by 2034.

These ambitions suggest that parts of the region are exploring a role in the global AI ecosystem not only as adopters of technology, but potentially as providers of computing infrastructure.

However, infrastructure investment in AI is not simply a question of capacity. Modern AI accelerators can draw close to one kilowatt of power at peak load, meaning that the long-term economics of data centres depend heavily on sustained workloads and energy efficiency. For investors, this places increasing importance on cooling technologies, energy optimisation, and the utilisation economics of inference workloads rather than just headline capacity figures.

The vertical AI opportunity

If infrastructure determines how much AI can scale in the region, vertical AI applications determine how it generates revenue.

This is where the GCC may hold an advantage that is often overlooked in global AI discussions. Across the region, governments are actively integrating AI into public administration, healthcare systems, urban planning, and financial services. The UAE’s national AI strategy, for example, prioritises the adoption of AI across multiple government departments and sectors.

Saudi Arabia’s fintech ecosystem presents another example. AI-driven tools for credit assessment, compliance monitoring, and fraud detection must operate within regulatory frameworks shaped by Islamic finance principles. Solutions built for these environments require specialised knowledge of local regulatory and financial systems that global startups may find difficult to replicate quickly.

Similar opportunities exist in other sectors. AI tools that convert clinicians’ voice recordings into Arabic-language medical documentation, or systems designed to automate regulatory compliance for GCC-specific frameworks, solve highly practical operational problems. These are not always the most visible AI applications, but they tend to be the ones that enterprises adopt most readily because they address clear cost and efficiency challenges.

From an investment perspective, startups operating in these specialised segments often face less competition than comparable companies in the United States or Europe. Many of the technologies developed for Arabic-language environments or region-specific regulatory systems may also find demand in underserved markets across Africa and parts of Central Asia, where similar linguistic and regulatory conditions exist.

Adjusting the investment lens

For investors evaluating AI opportunities in the GCC, the regional landscape may require a slightly different lens from the one commonly applied in global AI markets.

First, infrastructure investments should be evaluated not only by announced data centre capacity but also by energy efficiency, utilisation rates, and long-term workload sustainability.

Second, some of the most resilient AI businesses may emerge from companies embedded in operational workflows rather than consumer-facing applications. Enterprise software that quietly automates compliance, documentation, logistics optimisation, or financial analysis often generates stable, recurring revenue because organisations depend on it for day-to-day operations.

Third, the Arabic-language AI gap represents more than a niche opportunity. As language models, speech recognition systems, and enterprise AI tools become more tailored to Arabic-speaking markets, the companies building these capabilities could eventually serve a much wider geography where similar linguistic barriers exist.

A shifting role in the global AI ecosystem

As regional data centre infrastructure expands and enterprise adoption of AI moves from pilot projects to large-scale procurement, the Gulf’s position in the global AI ecosystem may begin to evolve.

Rather than functioning solely as a consumer of AI technologies developed elsewhere, parts of the region could increasingly participate in the infrastructure and specialised application layers of the industry.

The structural conditions that enable this shift are already emerging: access to energy resources, coordinated capital deployment through sovereign funds, and a regulatory environment where governments are actively encouraging AI adoption.

The question for investors is less whether these conditions exist and more how quickly capital and founders move to build within them before the opportunity becomes widely recognised.