Grocery stores appear well-stocked even when the systems behind them are under stress. Fresh food is neatly arranged and refrigerated items are neatly placed in their proper places. On the surface, everything looks normal. But looks can be misleading.
Currently, food only passes through the supply chain if it is recognized and approved by a digital system. Databases, platforms, and automated processes will determine whether the shipment can proceed. If the system cannot verify delivery, the food cannot be shipped, insured, sold, or legally distributed. In fact, any food that is not “recognized” by these systems will not be usable.
This increased dependence is now seen as a major weakness in the UK food system.
Recent cyberattacks highlight the risks. Disruptions to U.S. grocery stores and distribution networks have disrupted ordering systems at several major chains, causing delivery delays. Even if food was physically available, it could not be moved within the system.
The rise of automated decision-making in the food supply chain
A key issue is that many decisions are made by automated or opaque systems. These processes are often difficult to explain and nearly impossible to challenge. At the same time, manual backup steps are eliminated to improve efficiency.
This change is happening all over the world, from farms to supermarkets. While digital tools are increasing efficiency, they are also increasing the strain on logistics and transportation systems, especially those designed for just-in-time deliveries.
Utilization of AI
Artificial intelligence and data-driven tools are currently guiding many aspects of agriculture and food distribution. These help predict demand, optimize plantings, prioritize shipments, and manage inventory. Reviews of their use show that these systems are now integrated into most stages of the UK food system. However, it also brings new risks.
When food allocation decisions cannot be considered or explained, control shifts away from human judgment and to software. Businesses are increasingly relying on automation to reduce costs and save time. As a result, key decisions about where food goes and who has access to it are made by a system that people cannot question or override.
This is not just a theory. A ransomware attack on JBS Foods in 2021 shut down meat processing operations even though all animals, workers, and facilities were in place. Although some farmers in Australia were able to override the system, much confusion remained. Recently, failures by major distributors have revealed how quickly deliveries can be disrupted, even when products are available.
Less headcount means fewer backup options
Another concern is the decreasing number of people trained to manage these systems. Manual processes are often considered inefficient and are being phased out. Employees are no longer trained to perform overrides that are not intended for use. If something goes wrong, the skills needed to intervene may not be available.
This problem is further exacerbated by ongoing labor shortages in transportation, warehousing, and public health testing. Even after your system is restored, you may not have enough trained staff to resume operations smoothly.
The danger is not only that the system will fail, but that once the failure occurs, it will spread quickly. Think of this as a stress test, not a prediction. The authentication system may freeze. Even if the truck is full, the release code won’t work. The driver is left waiting. I have food, but I can’t move.
Past events demonstrate how quickly digital records and physical reality can become out of sync. Within a few days, your inventory system may no longer match what’s actually on the shelf. Manual intervention is required after approximately 72 hours. However, paper-based procedures are often obsolete and staff are not trained to use them.
Research into the fragility of the UK food system suggests that these breakdowns are often caused by institutional weaknesses rather than food shortages.
Approval is also important for food security
Food security is usually discussed from a supply perspective. But there’s another factor that’s just as important. Authorization. If the digital manifest is corrupted or unavailable, your shipment may not be released.
This is particularly important in a country like the UK, which relies heavily on imports and complex logistics networks. Resilience is shaped not only by how food moves across borders, but also by how data and decisions are managed within the system.
Who is controlling the system?
AI can play a positive role in enhancing food security. Precision agriculture (such as using data to decide when to plant and water) and early warning systems are already helping reduce losses and improve yields. The challenge is not whether to use AI, but how to manage it and who is responsible for overseeing it.
Human oversight remains essential. Food systems need trained staff who can intervene when systems fail, and regular training to ensure those skills are maintained. The algorithms that guide food distribution must be transparent enough to be auditable. Commercial secrets should not take precedence over public safety. Farmers and communities also need to take control of their data and knowledge.
This is not a distant or hypothetical risk. We have already discussed how warehouses full of food can become inaccessible or ignored.
The real question is not whether digital systems fail; It’s about whether they’re building a food system that can continue to function when that happens. 
