AI and Quantum Computing in Supply Chains: A Game-Changer or a Risky Bet?

In recent years, supply chains have been severely tested by global pandemics and geopolitical conflicts, exposing critical vulnerabilities in logistics and operations. To enhance resilience and remain competitive, many organisations are turning to emerging technologies; most notably, Artificial Intelligence (AI) and Quantum Computing (QC). AI refers to the use of algorithms that enable machines to learn from data, identify patterns, and make decisions with minimal human intervention. While AI has already made strides in logistics, demand forecasting, and risk management, QC, which leverages the principles of quantum mechanics to process information in parallel using quantum bits (qubits), introduces a new paradigm in solving complex optimisation problems. Industry reports suggest that 90% of procurement leaders plan to adopt AI-driven tools by 2025 to boost automation and performance. At the same time, QC is projected to unlock more than US$1.3 trillion in business value, with significant implications for forecasting, route optimisation, and broader applications across supply chain operations. However, these advancements also carry risks, from cybersecurity threats to operational disruptions and over-reliance on automation, that require careful planning and governance.