AI to Mitigate 60% of Supply Chain Disruptions by 2031

Gartner's latest research indicates that artificial intelligence will become a primary mechanism for addressing supply chain disruptions, with the potential to resolve approximately 60% of disruption incidents by 2031. This projection reflects a fundamental shift in how enterprises will approach supply chain risk management and operational continuity. The forecast suggests that AI-driven predictive analytics, real-time visibility, and autonomous decision-making systems will enable organizations to anticipate, prevent, and rapidly respond to disruptions across procurement, manufacturing, transportation, and demand planning functions.

This outlook carries significant implications for supply chain professionals, as it underscores the urgency of investing in AI capabilities now rather than waiting for 2031. Organizations that lag in AI adoption risk competitive disadvantage, as early adopters will gain superior visibility into supply network vulnerabilities and faster recovery times. The 60% remediation rate also implies that 40% of disruptions will remain difficult to address through AI alone, highlighting the continued importance of scenario planning, supplier diversification, and human judgment in managing residual risks.

For practitioners, this signals a strategic inflection point: companies must begin modernizing their technology infrastructure, upskilling teams in AI and data literacy, and establishing governance frameworks for AI-driven supply chain decisions. The window for preparatory action is finite, and organizations that delay may find themselves unable to realize the full value of AI-enabled supply chain resilience by the end of the decade.