Defend, Disperse, Recover: A Conflict-Resilience Standard for Gulf AI Infrastructure

Gulf states first need to improve the physical protection of critical AI infrastructure. High-value data centers in conflict-prone areas should be incorporated into national critical-infrastructure and defense planning rather than left primarily to private security arrangements. This may require hardened construction, redundant energy supplies, protected telecommunications links, layered perimeter security, and integration with national air and missile defense networks. Particularly important facilities may also require dedicated counter-drone or point-defense systems capable of intercepting low-cost drones, cruise missiles, and other precision weapons.

Not every commercial data center warrants individualized military protection. Governments will need to distinguish ordinary computing facilities from sites that support essential state functions, military applications, financial systems, or nationally significant AI capabilities. Priority facilities should receive protection comparable to that afforded to power plants, military bases, ports, and airfields.

Physical defense, however, cannot guarantee continuity. Fixed infrastructure remains vulnerable to saturation attacks, sabotage, power failures, telecommunications disruption, and repeated strikes. Even a well-defended facility can be disabled. Resilience therefore requires ensuring that the loss of a site does not become the loss of the function it supports.

States need the ability to distribute critical workloads across several facilities during periods of heightened risk. That may involve additional domestic sites, capacity elsewhere in the Gulf, or backup services purchased from commercial cloud providers. It should also include prearranged mechanisms for transferring eligible workloads to trusted infrastructure outside the region during an emergency.

Through a framework such as the U.S.-led Pax Silica, participating states could negotiate reciprocal continuity agreements for strategically important data processing. If data centers in the United Arab Emirates were degraded during a regional conflict, designated government or commercial workloads could shift temporarily to certified facilities in the United States, Germany, Australia, Japan, or another trusted partner. Similar arrangements could operate in reverse when other members faced disruption.

The objective would be continuity of function. A government might lose part of its domestic compute infrastructure without losing the ability to process intelligence, administer public services, keep financial transactions online, or operate other critical AI workloads.

Such a system would require extensive preparation. Workloads cannot be moved reliably across borders during a crisis unless the legal, technical, and operational arrangements already exist. Participating countries would need compatible standards for encryption, identity management, network security, hardware certification, data handling, access controls, and incident response. They would also need to determine which workloads were eligible for relocation, who could authorize an emergency transfer, how foreign-hosted systems would be supervised, and when processing would return to domestic infrastructure.

A credible arrangement would also require reserved capacity. Commercial providers frequently operate close to capacity during periods of high demand. A government cannot assume that sufficient compute will become available after a conflict begins.

The model resembles military logistics. Defense partnerships do not assume that every base, port, or supply route will remain operational during a conflict. They preserve capability through redundancy, access agreements, prepositioning, and rerouting. Strategic compute should follow the same logic: trusted continuity partners should provide access to pre-certified infrastructure, reserved capacity, and rapid workload migration when domestic facilities become unavailable.

Dispersal could also reduce the strategic value of attacking AI infrastructure. If critical workloads can move quickly to predetermined facilities in partner countries, destroying a single site is less likely to produce a sustained loss of national capability. An attack may still impose economic costs and temporary disruption, but its ability to alter the broader balance of power diminishes. The relevant security objective is therefore the survivability of function.

States must also be able to restore domestic systems after an attack. Moving workloads overseas may sustain operations during a crisis, but it cannot substitute indefinitely for domestic capacity. Gulf governments need plans to repair, replace, or rebuild damaged infrastructure quickly and to repatriate temporarily relocated workloads once domestic systems are secure.

Recovery planning should include assured access to servers, networking hardware, cooling systems, power components, and the specialized personnel needed to restore operations. Governments may need strategic reserves of selected hardware, priority-access agreements with suppliers, and alternate sites that can be activated when damaged facilities require extensive reconstruction. Telecommunications and energy infrastructure must be included in the same plans: restored compute has little operational value without reliable power and secure connectivity.

Advanced AI hardware will be particularly difficult to replace on short notice. Export controls, supply-chain bottlenecks, long procurement cycles, and restricted access to high-end chips could leave damaged facilities offline for months. Resilience planning must therefore cover the wider supporting ecosystem rather than the data center alone.

The resilience triangle gives the United States an opportunity to broaden its international AI partnerships. Current policy debates focus heavily on access to semiconductors, frontier models, cloud services, and export controls. These policies shape which countries can build advanced AI capabilities, but they offer few answers about how those capabilities would be sustained during conflict.

Washington should build continuity planning into major AI agreements from the outset, particularly with partners in conflict-prone regions. Access to American hardware and software could be paired with guaranteed emergency compute capacity in trusted third countries, allowing eligible critical workloads to continue if domestic infrastructure is disrupted. For states investing heavily in exposed AI infrastructure, this assurance could become a major strategic benefit of partnership with the United States.

A continuity network would also reinforce U.S. technology standards. Participation would encourage states to adopt compatible cybersecurity practices, trusted hardware, common cloud architectures, and interoperable operating procedures. These requirements could create a more integrated technological ecosystem in which alignment with the United States rests partly on a shared interest in operational resilience.

These agreements would require clear boundaries. National-security workloads cannot move through the same channels as ordinary cloud traffic. States would need to decide in advance which functions could be relocated, which could operate abroad only in secured sovereign environments, and which must remain on national territory. Lower-sensitivity applications could shift to trusted commercial clouds. Higher-sensitivity workloads would require isolated facilities governed by tighter legal, access, and technical controls.

Compute is rapidly becoming a new category of wartime vulnerability. As Gulf governments concentrate economic and administrative functions in a small number of highly visible facilities dependent on complex energy, telecommunications, and hardware supply chains, contingency planning for AI continuity is becoming urgent.

The location of infrastructure, architecture of cloud systems, dependence on foreign suppliers, and terms of cross-border access agreements will determine how much technological capacity a state retains during conflict. This reframes AI sovereignty around a more demanding test: whether a government can preserve decision-making authority and essential functions after domestic infrastructure is disrupted. Domestic ownership alone cannot provide that assurance. External capacity may strengthen national control when agreements guarantee access, preserve legal authority over workloads, protect encryption keys and administrative privileges, and require the eventual return of processing to domestic systems.

The strategic advantage of the United States is therefore not limited to providing better chips, models, or cloud services. It can also offer partners a credible continuity architecture. In the emerging competition over AI infrastructure, the most durable partnerships may be those that ensure critical capabilities remain available when they are needed most.