According to recent research by Gartner, the supply chain industry is on the brink of a major technological shift. By 2031, analysts expect that 60% of supply chain disruptions will be resolved without any human intervention. This transformation is being driven by the rapid adoption of agentic AI and real-time analytics, as organizations find it increasingly difficult to manage complex global disruptions—such as trade uncertainty and geopolitical conflicts—using traditional manual workflows.
Julia von Massow, director analyst in Gartner's supply chain practice, noted that the frequency and complexity of these disruptions are severely testing current response capacities. In response, chief supply chain officers (CSCOs) are moving swiftly toward AI systems capable of sensing and acting in real time. These automated risk analysis tools improve the consistency and speed of decision-making, prompting many CSCOs to embrace agentic AI capabilities or formalize plans to do so within the next two years.
To prepare for this increasingly autonomous future, Gartner recommends that CSCOs take immediate action by owning an enterprise-wide AI strategy that aligns technology investments with disruption management goals. Prioritizing investments in data quality and governance is essential to ensure that AI technologies have access to accurate, comprehensive, and timely information to make trusted decisions.
Why this matters for supply chain planning teams: As AI takes on a larger role in exception management, planning teams must shift their focus from putting out daily fires to designing the strategic parameters within which AI operates. Building robust data foundations and starting with low-risk decision automation will allow planners to expand autonomy responsibly. Teams will increasingly rely on automated playbooks and scenario modeling to stay ahead of volatility, transforming planners into strategic supervisors rather than tactical operators.