The rapid expansion of artificial intelligence is creating a massive ripple effect across the US logistics and supply chain sectors. As technology companies race to build and upgrade data centers to support AI and cloud computing, logistics providers are stepping in to manage the complex, global movement of servers, frames, and related infrastructure. This surge in AI-related shipments is so significant that it is acting as a major tailwind for the air cargo industry, even helping to offset recent slowdowns in e-commerce volumes.
To keep pace with the demand, major players like DHL Supply Chain are making substantial capacity investments. DHL recently announced plans to add over 7 million square feet of warehouse space and open 10 new facilities specifically to support clients in the AI and cloud computing segments. Data center operators are facing highly compressed build schedules and rely on logistics partners to streamline the deployment process. As a result, forwarders are offering value-added services, such as pre-rack configuration, to simplify installation once the hardware reaches its final destination.
Why this matters for planning teams: For supply chain planning teams, the AI infrastructure boom represents both a lucrative opportunity and a complex capacity challenge. Planners must account for intricate construction sequences and coordinate the movement of critical components from manufacturing hubs in Asia to deployment markets across North America and Europe. Furthermore, with AI server frames having a lifespan of just three to five years, demand for these specialized logistics services is expected to remain a long-term fixture in global trade networks. This requires planning teams to build durable, specialized capacity models and robust scenario plans to ensure they can secure space in a highly competitive freight market.