
Looking ahead to 2026, two forces will shape the supply chain landscape more than any others: the rapid maturation of AI and the acceleration of regionalisation.
AI is moving swiftly beyond its role as an insights engine to become an orchestrator of end-to-end decision-making. As adoption rises, it will fundamentally transform how supply chains are planned, optimised, and executed. At the same time, persistent volatility is prompting companies to redesign networks with resilience at the core. This is driving more regionalisation as firms diversify suppliers, relocate production closer to demand, and invest in energy resilience to buffer against shocks.
To prepare, organisations must take a deliberate and disciplined approach. With AI, the starting point is a clear articulation of business need. AI should enhance core capabilities, not serve as a stand-alone solution in search of a problem. Once the use case is defined, success hinges on high-quality data, robust integration, and real-time visibility. Investments in IoT, digital twins, and supply chain control towers will be essential enablers. For example, DHL Supply Chain is already leveraging AI-driven control towers to enhance real-time visibility and decision-making across its global operations. These systems integrate IoT data from warehouses and transport networks, allowing proactive intervention when disruptions occur — a key step toward truly autonomous logistics networks. Equally important is capability building: teams must understand how to interpret, challenge, and operationalise AI-driven insights.
On the regionalisation front, leaders should reassess network design with a focus on reducing single-source dependencies. This may include nearshoring critical production (as seen in the semiconductor and EV battery sectors), dual sourcing to reduce dependency on single suppliers, or investing in energy resilience through renewable generation or partnerships with stable grid providers. For instance, BMW has expanded EV battery production closer to its European and U.S. assembly plants, while Foxconnand other manufacturers are diversifying beyond China into Vietnam, India, and Mexico to reduce geopolitical exposure.
Effective resilience will increasingly be measured not only by how well organisations absorb disruptions but by how quickly—and intelligently—they recover from them. Strengthening sensing mechanisms, response protocols, and recovery playbooks will be key. For inspiration and guidance “the signal house” provides a novel and how to implement resilience in your organisations now https://supplychainrisk.io/what-we-do/
Ultimately, preparing for AI and regionalisation does not require abandoning globalisation. It requires building agile, data-driven, and risk-balanced supply chains that leverage the best of both global and regional strengths. Organisations that integrate these capabilities holistically will be well-positioned to compete—and thrive—in 2026 and beyond.
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