Across the GCC, public reporting tracks more than 174 projects worth over USD 93 billion. The UAE runs the region’s most connected AI platform; Saudi Arabia is assembling its largest state-backed compute economy. Both ambitions route through one strait, one set of imported chips, and one neighbourhood at war.
The Gulf is two strategies told at once. The UAE is building the region’s most globally connected AI and cloud platform, plugged into US chips and hyperscaler capital. Saudi Arabia is building the region’s largest state-backed domestic compute economy, anchored to Vision 2030 and sovereign capital. Both treat data centres as instruments of power, not real estate.
On the UAE side, the marquee line is Stargate UAE, a 1 GW ambition with USD 8 to 10 billion of investment and roughly 200 MW targeted by 2026 to 2027, alongside Microsoft’s USD 7.9 billion UAE commitment for 2026 to 2029, part of a USD 15.2 billion total across 2023 to 2029, delivered largely through Khazna, and a 35,000 advanced-chip authorisation for G42. On the Saudi side, HUMAIN sits at the centre of a state buildout: an AirTrunk partnership, AWS’s USD 5.3 billion region (part of an AWS commitment now above USD 10 billion in the kingdom), a USD 10 billion Google and PIF hub, and a USD 6 billion PIF data-centre programme. Since then the stack has deepened: a USD 10 billion, 500 MW compute deal with AMD, first racks from Qualcomm and Cisco, and joint ventures with STC (1 GW) and xAI (500 MW), all pointed at a ten-year target of 6.6 GW across 211 secured land plots.
Set against demand, those commitments look outsized. The data-centre market the build is meant to serve is forecast to roughly triple by 2030: Saudi Arabia from about USD 1.33 billion in 2024 to USD 3.9 billion, and the wider GCC from roughly USD 3.5 billion to USD 9.5 billion. That market revenue is a fraction of the capital pipeline above, which is the tell: the Gulf is provisioning compute ahead of its own demand, wagering on regional and export workloads it intends to capture rather than ones it already has.
What makes this chapter different from the others in the series is the risk layer. Once semiconductors enter the story, the model depends on secure shipping lanes, imported hardware and strategic materials. The Iran war has already moved that risk from abstract to physical: the first wartime drone strikes in history deliberately aimed at commercial data centres, hitting AWS sites in the UAE and Bahrain, helium and bromine exposure through the Strait of Hormuz, and renewed scrutiny of every hyperscaler commitment in the region.
Four instruments read the Gulf: The Exposure, a scenario-modelled file on what regional war does to investment and viability; a threat map of compute, bases and targets; The Brief on how Saudi megaproject ambition has been redrawn over time; and a comparison of the two national models. Every modelled figure is tagged, and every projection is framed as such.
Once semiconductors enter the model, the Gulf’s build depends on secure shipping lanes, imported hardware and strategic materials, all routed through the world’s most militarised water. Five files map where that exposure sits. The production desk then models it: what war does to the build, who captures the capital that flees, and how the region is hedging and de-escalating.
An interactive model in four layers: what conflict does to investment and viability, who captures the capital that flees the Gulf, how the region hedges and de-escalates, and the incident record behind it.
A directional Entelligencia model, not a forecast. Pick a scenario and intensity, then read four layers: what it does to the build, who captures the diverted capital, how the region mitigates, and the incident record. Figures are ranges and directions, not precise outcomes.
The Gulf’s data centres sit beside the world’s densest concentration of US military infrastructure, the region’s oil and gas spine, and a strait that roughly a quarter of the world’s seaborne oil moves through. Each node is a real site, colour-coded as a compute cluster, a US base or an energy target. Open one for detail; toggle the overlays for the Hormuz chokepoint, cross-Gulf strike reach and the subsea cables. Positions are approximate: a strategic schematic, not a survey.
Sixteen real sites plotted against the US military footprint, the energy spine and the Strait of Hormuz. Open any node, filter by country, and toggle the chokepoint, strike-reach and subsea-cable overlays.
The live layer of the chapter: the load-bearing numbers behind the Gulf’s compute push, each graded against the record and sourced. This is the part that moves, and it is maintained as it does.
10 July 2026: US Commerce upgraded the UAE to Country Group A:5, NATO-tier, clearing licence-free advanced-chip exports to G42, Core42 and MGX.
Shut to US and Israel-allied shipping under the IRGC blockade declared during the 2026 Iran war. The chokepoint for roughly a fifth of seaborne oil now shadows every Gulf build.
Abu Dhabi campus with G42, OpenAI, Oracle, Nvidia, Cisco and SoftBank. A first 200 MW cluster is due online in 2026, building toward 1 GW, powered by Barakah, solar and gas.
The Abu Dhabi state AI vehicle’s first fund, raised to back compute and model builders across the stack.
April 2026, after 59 years. The clearest signal yet of a pivot from oil quotas toward compute as the strategic export.
Four APR-1400 reactors supplying roughly a quarter of UAE electricity, the carbon-free baseload underwriting the campuses.
With HUMAIN, up to 150,000 GPUs targeted, part of the Kingdom’s hyperscaler build-out.
A $5bn green data campus at NEOM, with a first 300 MW phase targeted by 2028.
HUMAIN’s flagship government supercomputing campus, anchoring Saudi sovereign compute.
Committed to AI infrastructure worldwide since 2025, with Gulf vehicles, MGX, PIF, QIA, ADQ, behind roughly two-thirds.
PIF’s data-centre capacity goal for the Kingdom by 2030, part of a plan to draw 12% of GDP from AI.
The ten-year Emirati investment commitment into US technology and infrastructure underpinning the chip deal.
A practising partner on what actually decides a Gulf data-centre deal. His answers do not all run with the grain of the questions we put to him: he reframes the question of regulatory mismatch, he resists the idea that contracts are routinely unfit for AI, and he rejects the notion of one dominant procurement structure. His positions are reported here as he gave them, summarised in our house style rather than quoted verbatim. Open any file for his response.
A power and digital-infrastructure veteran of a decade across the Gulf and APAC, contributing in a personal capacity. His read runs underneath the capacity tables: why a market that matured in two years cannot be planned for, why geopolitics rather than capability picks the supplier, and which MEA market takes off next.
The Gulf sells the render before it builds the thing. Saudi Arabia in particular unveils world-redefining visuals, then quietly redraws them as cost and capacity bite. That gap between projection and build is the single most useful lens on any Gulf compute announcement. Scroll each track left to right: the hologram fades into what stands today. Scaled-back figures are contested and framed as reported, not settled.
The same instinct that produced a 170km mirrored city and a fifteen-stadium tournament now produces gigawatt AI campuses and sovereign-chip pledges. The ambition is genuine and the capital is real, but the delivery curve in the Gulf has a consistent shape: a maximal reveal, a quiet rescoping, then a smaller but still substantial build. For an investor or operator, the discipline is to separate the announced number from the financed one, exactly as the dashboard does for capacity. The render is the marketing; the megawatt is the asset.
Six markets, one buildout. This is the full comparative file behind the chapter: the data-centre base, the economy, power, people, resources, institutions, the operators on the ground and the resilience to absorb a shock. Choose who to compare, then read each factor by the figures and the long view side by side.
Each spoke is one of the eight dimensions, scored 0 to 10 for like-for-like comparison – indicative editorial weighting, not a published index. The bars rank the composite. Click any spoke, or a tile below, to open that factor. Toggle a market to add or remove its shape.
Five named figures across sovereign-AI champions, international capital and national policy. Each card opens to a public-record profile: the seat they hold, the institutions behind them, and where their mandate meets the compute build. Roles and figures are drawn from public company and government records.





A market is not settled on a spreadsheet. It is argued out by the financiers, bankers and platform-builders who decide where the next megawatt and the next rack land. Each seat opens to their file and a clip from the conversation. Audio here is representative; final recorded remarks, a contributor note or a podcast segment drop into the same player.
Sovereign capital sets the mandate; suppliers and the power layer gate what can actually be built; the operators raise the halls that the hyperscalers and the sovereign-AI programmes anchor. The Gulf signature is that the same funds often own the capital, the operator and the demand, so the chain is shorter and more state-directed than anywhere else in the report. The clearest exception is KKR’s more than USD 5 billion behind Gulf Data Hub: global private capital underwriting an independent operator rather than a national champion, the one tier where the chain runs on outside money instead of the state’s.
05 tiers · 30 entitiesLogos will be added later and will identify the parties for evaluation only, not as an endorsement, subject to each owner’s brand-usage rights before any commercial use. Power and supplier names are indicative of the categories active across the GCC. Connections are Entelligencia’s reading of public deal and partnership announcements, and is tagged as a reading.