Chains Can't Keep Up: How Artificial Intelligence Sprints to Recovery
In the wake of a series of devastating supply chain disruptions in 2023 and early 2024, businesses are facing significant costs that have left many wondering when they will get back to normal. According to the J.S. Held Global Risk Report, these losses totaled around $184 billion by 2025 - a staggering amount that has left companies scrambling for relief. Most of this bill is due to delayed detection and response times, not swift action.
This issue highlights a fundamental flaw in how many businesses approach their supply chains, with the primary focus being on detecting problems quickly rather than taking proactive measures to prevent them from happening in the first place. The report's findings suggest that companies should be investing more time into understanding their operating models and identifying areas where artificial intelligence (AI) can help streamline operations.
The reality is that most AI agents are simply tools designed to speed up processes, not solve complex problems or provide predictive insights. In order for businesses to truly make a difference in the face of these disruptions, they will need to adopt more holistic approaches that integrate AI into their existing workflows and operational models. Until then, companies will continue to be held hostage by slow response times and inadequate detection capabilities.