

Closing the AI Expectations-Reality Gap
May 30, 2025
In this insightful conversation, Benjamin Jury, a Gartner Senior Principal of Research, sheds light on the gap between AI expectations and reality in supply chains. He discusses how Chief Supply Chain Officers (CSCOs) can establish a long-term AI vision and actionable strategies for effective implementation. The podcast delves into common pitfalls organizations face when integrating AI and provides practical advice to overcome these challenges. Benjamin also shares essential insights aimed at maximizing AI's impact on supply chain performance.
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Episode notes
AI Reality Meets Expectations Gap
- AI investments often deliver incremental gains rather than transformational value at scale.
- Investments remain siloed, limiting cross-functional impact and reducing overall productivity gains.
Expand AI Vision Beyond Cost Savings
- Set your AI vision to drive both growth and profitability, not just cost savings.
- Align AI goals with top-line outcomes to avoid limiting your supply chain's value.
Cost vs Growth AI Vision Example
- Cost-saving AI vision might target inventory movement and excess stock reduction.
- Growth-focused AI vision can include improving product features and personalization via AI insights.