AI Infrastructure Gives Airfreight a New Cargo Profile

Last updated: November 4, 2026

AI infrastructure is becoming an important source of airfreight business, with demand now reaching beyond completed servers to the manufacturers supplying them. Airlines and airports are responding with dedicated products, specialist equipment and tighter control over how fragile, high-value cargo is moved.

The attraction for freight providers is clear: shipments are large, valuable and time-sensitive. The challenge is that the same characteristics make conventional handling practices less suitable, particularly when aircraft space and suitable ground equipment are already scarce.

Demand reaches deeper into the supply chain

Expeditors’ latest quarterly figures showed shipments at a record level. Volumes were roughly 13% higher than a year earlier, and management identified hyperscaler activity as a major contributor. Revenue increased 42% to $4.1 billion, while net profit climbed 55% to $345 million.

The forwarder also saw demand from Tier 1 and Tier 2 suppliers serving AI infrastructure projects. That matters because a data-centre build-out is not a single cargo event. Chips, semiconductors, motherboards, GPUs and production equipment may move between factories before a finished server rack exists. Each stage can generate a separate flight and require a different handling solution.

Supply cannot expand at the same pace. Expeditors cited restricted fleet growth and delays in receiving new aircraft, while demand continued to exceed available space. Elevated rates reflect that imbalance, although pricing conditions vary considerably between corridors.

The global Baltic Air Freight Index declined 1.1% in the week ending November 2, but remained 22.8% above its level a year before. Strong increases continued on China-US and Taiwan lanes, while Vietnam saw a modest easing. The practical takeaway is that an apparently stable global market can conceal major differences between routes, leaving lane-specific planning essential.

Cargo handling becomes part of the service

Changi Airport said semiconductors and infrastructure linked to AI drove much of its cargo expansion this year. The airport handled approximately 1.66 million tonnes during its first nine months, an 8.5% rise from a year earlier.

Connecting a shipment to a flight is only part of the task. AI-related consignments can be exceptionally valuable, urgent and vulnerable to shock or vibration. Some production equipment is also too large for standard loading arrangements. Damage during even a brief movement between a warehouse and an aircraft can therefore threaten an expensive delivery and the production schedule behind it.

Changi and its partner SATS tested and introduced a pallet dolly with a suspension system to limit shock, movement and tilting during airside transfers. This is not simply a productivity upgrade: it is an attempt to preserve cargo that is difficult to replace and particularly costly to mishandle.

Emirates SkyCargo is packaging similar capabilities into a commercial service. Its AI Tech offering covers server racks, semiconductors, GPUs, capital equipment and related hardware. Customers receive priority loading, consistent handling procedures and shipment monitoring through the carrier’s Dubai command centre.

Oversized or heavy consignments also need specialist project-cargo support. For highly specialized manufacturing equipment, airlines must examine a station’s capabilities before accepting the job. Aircraft availability alone is therefore not enough to confirm that an AI hardware movement can be completed safely.

Main-deck freighters carry a competitive advantage

Emirates SkyCargo said it transported more than 700 tonnes of AI infrastructure across its network during July. The carrier also reported that tall, dense server racks can exceed 3.5 tonnes. Their physical profile makes freighter main decks important, even when an airline can offer extensive passenger-belly capacity.

Atlas Air’s Martin Drew described a supply chain with two distinct stages. Components move from Asian production centres to factories, including operations in Guadalajara, Mexico, where server racks are assembled. Once completed, those racks are distributed to markets around the world.

Avianca Cargo is carrying racks from Miami into South American destinations including Brazil, Uruguay, Paraguay and Chile. The equipment is commonly around 90 inches, or 228.6 centimetres, high. That measurement again places suitable main-deck loading at the heart of the operation.

This creates both an opportunity and a risk. Carriers with freighter capacity, strong stations and dependable handling can offer more than a route: they can provide an end-to-end solution for fragile, high-value hardware. Forwarders can capture more business by coordinating the whole chain, but one damaged component or delayed factory input can affect subsequent movements and deliveries.

A decision checklist for AI infrastructure shipments

Forwarders and shippers should verify the following before committing a production schedule:

• Record the cargo’s dimensions, weight and sensitivity at every stage rather than treating components and completed racks as identical shipments.
• Establish whether each movement needs a main-deck freighter instead of assuming that available belly space is appropriate.
• Check every handling station for equipment restrictions, project-cargo capability and any advance-assessment requirements.
• Arrange loading priority, handling procedures and monitoring before the consignment is accepted.
• Map the complete route through manufacturing, assembly and final destinations so a delay in one part does not create avoidable disruption later.
• Separate planning for the initial build-out from future replacements, as replacement shipments may not have the same shape or handling profile.

What to watch next

Airlines must decide how much capacity to commit against infrastructure demand and whether the cargo will sustain beyond the first construction cycle. Drew said replacement cycles can range from 18 months to three years as technology evolves, suggesting recurring business. However, LATAM Cargo group CEO Andrés Bianchi questioned what operators will actually replace once a data centre is operating: the processor rather than the entire rack could become the relevant shipment.

That distinction could change the mix of freight. Air cargo businesses that plan only around today’s bulky racks risk missing a later shift toward processors and other components. Those that combine suitable freighter capacity, specialist equipment, station knowledge and shipment visibility will be better placed to adapt.

AI infrastructure airfreight is already contributing to shipment volumes, revenue and elevated pricing. Its next test will be operational rather than promotional: whether the sector can protect fragile cargo, expand scarce capacity and recognize how the freight mix evolves as the build-out matures.

Key takeaways

• AI hardware demand is reaching component suppliers as well as finished-server manufacturers.
• Large, dense racks require main-deck capacity and specialist ground handling.
• Dedicated carrier products combine priority loading, standardized procedures and monitoring.
• Forwarders must plan each stage of a multi-leg AI supply chain separately.
• Replacement demand is promising, but its future cargo mix remains uncertain.