Kinaxis Study Reveals Supply Chain AI Governance Lag as Adoption Accelerates — Kinaxis Inc.

Event summary

Kinaxis-sponsored IDC study surveyed 2,000 supply chain leaders across nine global markets.
Only 12% of respondents consider themselves AI leaders despite broad adoption (98%).
41% expect autonomous-at-scale supply chains within 1-2 years, but only 12% have governance embedded.
52% cite trust in AI-driven decisions as the top barrier to faster adoption.
Kinaxis positions its Maestro platform as a solution for explainable, auditable AI.

The big picture

The study highlights a fundamental tension between rapid AI adoption expectations and organizational readiness to govern autonomous systems. As supply chains increasingly rely on AI for decision-making, the ability to demonstrate measurable value while maintaining human oversight will separate leaders from laggards. Kinaxis positions itself as an enabler of this transition through its Maestro platform's governance capabilities.

What we're watching

Governance Dynamics: How the gap between autonomous aspirations (41%) and governance readiness (12%) will impact AI deployment timelines.
Trust Metrics: Whether Kinaxis's explainable AI approach can address the 52% trust barrier identified in the study.
Competitive Positioning: The pace at which competitors adopt similar governance frameworks as differentiation becomes critical.