The AI inflection point: How to turn supply chain volatility into foresight (www.techradar.com)

The AI landscape is reaching a pivotal moment as businesses grapple with the challenges of supply chain volatility amidst global disruptions. With the rapid adoption of AI tools, there’s a critical distinction emerging between superficial implementations and more robust, integrated solutions. Current generative AI systems often remain disconnected from core decision-making processes, leading to increased risks and inefficiencies. In contrast, the next generation of AI, termed agentic AI, has the potential to fundamentally enhance supply chain management by analyzing real-time data and acting autonomously within established governance frameworks. Agentic AI systems, when embedded into decision-making workflows, can provide a seamless response to disruptions, enabling organizations to anticipate changes and act rapidly. By ensuring human oversight and accountability, these systems can generate coordinated responses informed by comprehensive data, thus minimizing risks associated with supply chain management. As the EU and other regions intensify scrutiny on AI transparency, adopting a responsible, integrated approach is crucial. Companies that successfully implement agentic AI will not only quicken their response times but will also strengthen the trust and resilience necessary to navigate an increasingly unpredictable business landscape.