Executive Summary

The rise of artificial intelligence (AI) is rapidly transforming the global economy, making AI-ready data centers essential drivers of this change. Unlike traditional data centers for general information technology (IT), AI-focused facilities use advanced chips, dense servers, and liquid cooling to support high-performance computing. This shift accelerates digital innovation but increases pressure on energy systems. Globally in 2024, total data center capacity exceeded 111,900 MW, with the United States and China accounting for more than 60%. Capacity is projected to double to 224,000 MW by 2030, with electricity use rising from 854 TWh in 2024 to nearly 1,900 TWh by 2030. AI workloads already use 5%-15% of that power and could reach 35%-50% by the end of the decade, highlighting the growing link between the energy and digital sectors.

Saudi Arabia's data center industry is expanding faster than most regions, driven by coordinated investment in AI infrastructure.

By 2024, the Kingdom had 58 operational facilities with a total IT capacity of 290.5 MW, primarily in Riyadh and Dammam, which account for nearly 80% of national data center capacity. New hubs, including NEOM, are emerging for large-scale AI projects. The sector's growth is supported by progressive digital policies like the Cloud First Policy and the Data Center Services Regulations, alongside expanding grid infrastructure and low-cost energy. This base makes Saudi Arabia the largest digital infrastructure market in the Middle East and one of the few countries globally developing AI-optimized campuses at a multi-gigawatt scale.

Electricity demand from Saudi data centers is expected to rise substantially until 2030, but actual outcomes are uncertain.

National data centers used around 2.8 TWh in 2024, or 0.85% of total electricity. By 2030, this could increase to between 10.2 TWh and 42.2 TWh, representing 2.8%-11.6% of projected national electricity demand. The increases in demand reflect a total installed capacity of roughly 2,000 MW under a moderate-growth scenario and up to 4,100 MW under a high-growth case. However, many global analysts view the pace of AI infrastructure expansion as highly uncertain – potentially resembling a "digital infrastructure bubble" in which some announced projects do not materialize or are delayed. The low-growth scenario (around 1,050 MW) remains a credible and conservative planning baseline.

The energy and environmental implications of this growth are significant and deserve careful management.

Under a fossil-fuel-dominated power mix, emissions from data centers could rise from 1.6 Mt CO2 in 2024 to 6-24 Mt CO2 by 2030. While this is a small share of the Kingdom's total emissions, currently estimated at around 590 Mt CO2 per year, the growth trajectory highlights the need to include new digital loads within the broader decarbonization strategy. Achieving the national target of 50% renewable generation could reduce data center emissions by about 68%. Efficiency improvements could further mitigate the impact, reducing their electricity consumption by 13% and saving up to 5 TWh annually in the high-growth scenario. From an energy system perspective, these facilities may act as new baseload consumers, and their rapid build-out requires close coordination with utilities to ensure grid reliability and adequate capacity, and to prevent localized bottlenecks.

Saudi Arabia has notable cost advantages which could be further sustained through efficient operations and careful tariff management.

The study's cost analysis shows that data center project costs in Saudi Arabia are most sensitive to utilization and hardware efficiency, and moderately sensitive to electricity tariffs and power usage effectiveness (PUE). With low competitive tariffs and expanding grid infrastructure, Saudi Arabia remains globally competitive even with relatively high cooling requirements. This competitiveness depends on stable tariffs, early high-utilization rates, and energy-efficient hardware. If these fundamentals are sustained, the Kingdom could become a regional hub for AI computing, serving both domestic and cross-border digital demand. Policymakers can enhance competitiveness by introducing efficiency standards and encouraging high-performance equipment. The analysis also shows that most cost gains occur as data centers move from partial to steady utilization, with diminishing returns at high load factors, a key consideration for utilities and investors optimizing grid integration and cost efficiency.

Despite its advantages, Saudi Arabia faces similar risks to other rapidly expanding markets.

The global AI data center boom has raised regulatory, environmental, and financial concerns. Projects need large tracts of land, highly skilled technical labor, and secure access to reliable electricity and water for cooling. Rising hardware costs, supply chain constraints, and geopolitical risks add further uncertainty. Financially, the surge in AI-related investment resembles a speculative "gold rush," where capital chases uncertain demand. For Saudi Arabia, this highlights the need to sequence projects, aligning expansion with realistic utilization forecasts, and integrating new loads into national energy planning to avoid overcapacity or stranded assets.

Sustainable strategies can mitigate many of these risks and strengthen competitiveness. Technologies such as modular design, AI-optimized chips, and advanced liquid or water-free cooling systems can sharply improve efficiency. Workload scheduling and AI-based energy management can reduce operational loads, while renewable energy integration through power purchase agreements and 24/7 carbon-free energy matching is emerging. Such integration also strengthens Saudi Arabia's positioning as a clean-energy AI hub, aligning digital infrastructure growth with the Kingdom's broader energy transition. Leading global companies demonstrate this shift: Microsoft's waterless cooling, Google's geothermal supply, Amazon Web Services's (AWS's) 100% renewable procurement, and Meta's heat recovery systems illustrate best practice in the industry.

The rationale for investing in AI-ready data centers goes beyond short-term returns and needs careful prioritization and coordination. These facilities create digital spillovers that strengthen the Kingdom's innovation ecosystem, data sovereignty, and economic diversification. Sustained value depends on investing in AI-ready zones with reliable power, renewable integration, and strong utilization. Coordinated planning between government entities, private developers, and global technology partners is essential to maximize benefits while ensuring energy security and climate alignment. Saudi Arabia can use its comparative advantages to become a leading, cost-efficient, and sustainable AI infrastructure hub in the region.

To achieve this balance, the analysis highlights four broad areas to guide future policy and planning. Continued investment in energy-efficient computing technologies, such as next-generation GPUs, advanced servers, and optimized cooling, can increase computing output while managing power demand. Developing AI-ready investment zones with reliable grid connections and renewable integration could attract long-term investors and strengthen Saudi Arabia's position. Expanding local research in data center efficiency, advanced cooling, and sustainable design, together with collaboration between universities, research institutions, and global technology partners, would support knowledge transfer and industrial diversification. Operationally, emphasizing efficient utilization of new facilities, flexible scheduling of AI workloads during off-peak hours, and promoting resource reuse practices such as heat recovery and water recycling could improve efficiency and system integration. From a governance and energy planning perspective, maintaining stable and transparent electricity pricing, encouraging voluntary efficiency benchmarks, and coordinating data center development with renewable energy and grid expansion initiatives would align digital growth with the Kingdom's long-term energy transition objectives.

In conclusion, the Kingdom stands at a strategic inflection point in the energy-digital nexus. Data centers are poised to become a major new source of electricity demand, but their role will depend on prudent planning, measured expansion, and operational efficiency. A cautious, efficiency-oriented approach – based on realistic demand assessment and strong coordination with the national energy transition – will allow Saudi Arabia to capture the long-term value of digital growth while safeguarding reliability, affordability, and sustainability.

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Source: ICAIRE, KAPSARC