Infrastructure as a growth multiplier

Infrastructure is increasingly being treated as a trade competitiveness tool rather than simply a means of adding capacity, with aligned transport, customs and digital systems reducing friction, widening market access and attracting investment. Changing sourcing patterns and new production centres are also creating opportunities for logistics providers with global networks and specialist capabilities. AI is moving into practical logistics applications, supporting demand forecasting, capacity allocation, routing and customs processes rather than being pursued as a single transformative technology. DHL’s approach combines AI with harmonised standards, digital declarations, risk management, duty and tax processes and customer-facing interfaces, while human oversight remains important for complex and sensitive cargo. Sustainability and shifting trade lanes are increasing the need for flexible, resilient networks, particularly for pharmaceuticals, energy and other specialist cargo. DHL is investing in sustainable aviation fuel, electric and alternative-fuel ground vehicles and more efficient aircraft, while the longer-term focus is on reducing friction between established and emerging markets through interoperable data, reliable infrastructure and predictable cross-border execution. Cargo markets increasingly hinge on infrastructure that does more than add throughput. When transport, customs and digital trade systems are aligned, logistics capacity becomes a competitiveness engine, lowering friction, widening market access and accelerating trade-led GDP growth rather than simply absorbing more volume, according to insights from DHL Express. That matters strategically because capital is now flowing towards corridors where infrastructure, policy and connectivity reinforce one another. For cargo operators, this creates value not only through higher volumes, but through network density, route optionality and faster trade execution. Targeted infrastructure investment is increasingly being viewed as a strategic economic catalyst rather than a simple capacity-building exercise. When transport and supply chain assets are developed alongside technology adoption and trade-friendly policy frameworks, their value extends well beyond physical throughput. In this model, infrastructure improves competitiveness by reducing friction, strengthening connectivity and creating the conditions for trade-led growth, while also attracting further capital into markets positioned to benefit from expanding global supply chains. “In the case of both sectors, they will bring massive changes to the global supply chain in terms of specialist requirements, new origins of raw materials. different points of sourcing and production, and changing consumer markets,” John Pearson, CEO of DHL Express, said, speaking to Air Cargo Week. “Whether this points to more balanced and diversified global supply chains is not yet clear. At the moment, we see these rapid shifts in the shape of supply chains as an opportunity for those logistics providers who have the global footprint to capture the opportunities, meet the surges in demand across new markets such as Eastern Europe and can offer the specialized capabilities that these fast-growing sectors require.” Intelligent networks and specialist cargo AI is becoming a practical operating tool rather than a future concept, particularly in forecasting, routing and customs processing. In time-critical cargo verticals such as the cool chain and pharmaceutical logistics, where temperature integrity and border predictability are commercially critical, these gains translate directly into service reliability and risk reduction. The implication is operational as much as strategic: intelligent networks can improve exception management, but specialist cargo still depends on disciplined execution, regulatory accuracy and human oversight. That blend is increasingly where margin protection lies. “We are taking a broad-based approach to the use of AI, applying AI to enhance various operational technologies and functionalities rather than seeking out any “big bang” technological breakthrough,” Pearson explained. AI is beginning to deliver measurable gains in core logistics functions by improving the quality and speed of operational decision-making. In areas such as demand forecasting, capacity allocation and route planning, the ability to analyse far broader datasets in real time allows operators to anticipate shifts in volume, optimise asset deployment and reduce service disruptions. The strategic value lies not simply in automation, but in using predictive intelligence to improve efficiency, strengthen reliability and make networks more responsive in increasingly volatile trading environments. “Rather than calling out any single technology or innovation, progress here is more down to a combination of greater harmonization of international standards and processes, digital technologies that allow for quicker and more accurate