Supermarket shelves can appear full, despite the strain on the food system beneath them. The fruits are neatly stacked, and the cooled meat is placed in its place. The supply chain appears to be working well. But looks can be deceiving.
Today, food moves through the supply chain as it is recognized by databases, platforms and automated approval systems. If a digital system cannot verify a shipment, food cannot be shipped, insured, sold, or legally distributed. In fact, any food that cannot be “seen” digitally will no longer be usable.
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For example, take a look at the impact of recent cyberattacks on grocery stores and food distribution networks that disrupted operations at several major U.S. grocery chains. This brought down online ordering and other digital systems and delayed deliveries even though physical stock was available.
Part of the problem here is that important decisions are made by automated or opaque systems that cannot be easily explained or challenged. Manual backups are also being phased out in the name of efficiency.
This digital shift is happening around the world, including in supermarkets and agriculture, and has led to increased efficiency, but it has also strengthened structural pressures across logistics and transportation, particularly in supply chains that are set up for last-minute deliveries.
Utilization of AI
AI and data-driven systems are now shaping decision-making across agriculture and food delivery. These are used to forecast demand, optimize cropping, prioritize shipments, and manage inventory. According to an official review into the use of AI across production, processing and distribution, these tools are now integrated into most stages of the UK food system. But there are also risks.
When food allocation decisions cannot be explained or considered, authority shifts from human judgment to software rules. Simply put, companies are choosing automation over humans to save time and reduce costs. As a result, decisions about food movement and access are increasingly made by systems that people cannot easily question or override.
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This is already starting to happen. A ransomware attack on JBS Foods in 2021 shut down the meat processing facility despite the presence of animals, staff, and infrastructure. Some farmers in Australia were able to override the system, but it caused widespread problems. Recently, disruptions affecting major distributors have revealed that even if products are available, delivery to stores can be disrupted due to system failures.
to exclude humans
A significant problem is the attrition and training of staff to manage these issues. Manual procedures are classified as costly and are gradually abandoned. Staff is not trained on overrides that they are not expected to perform. When a failure occurs, the skills needed for intervention may not exist.
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This vulnerability is further exacerbated by persistent labor and skills shortages, impacting transportation, warehousing, and public health testing. Even if digital systems recover, there may be limits to the human ability to restart flows.
The risk is not only that the system will fail, but that when it does, chaos will spread rapidly. This can be understood as a stress test rather than a prediction. The authentication system may freeze. The truck is loaded, but the release code fails. Driver please wait. There is food, but no movement is allowed.
Based on past events, digital records and physical reality may begin to diverge within days. The inventory system no longer matches what’s on the shelf. Manual intervention is required after approximately 72 hours. However, paper procedures are often obsolete and staff are not trained in how to use them.
These patterns are consistent with evidence from the UK Food System Vulnerability Analysis, which highlights that resilience failures are often systemic rather than agricultural.
Food security is often seen as a supply issue. But there are also licensing issues. If your digital manifest is damaged, you may not be able to ship it.
This is important in a country like the UK, which relies heavily on imports and complex logistics. Research on food security suggests that resilience depends not only on trade flows but also on data governance and decision-making in food systems.
This edited article is republished from The Conversation under a Creative Commons license. Read the original article.
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