AI Adoption Without Results: How Supply Chains Can Close the Gap

Everest Group's latest research highlights a critical gap in supply chain AI adoption: organizations are investing heavily in artificial intelligence but failing to translate these investments into tangible business value. The report, 'Designing the Human + AI Enterprise: A Transformation Agenda for Supply Chain-intensive Industries,' reveals that growing AI deployment is not consistently producing stronger operational results across the industry. This gap signals a structural challenge in how organizations approach technology transformation. The core issue is that AI adoption has outpaced operational transformation.

Many supply chain teams have deployed AI tools without fundamentally redesigning workflows, reassigning responsibilities, or redefining how human judgment integrates with algorithmic recommendations. This disconnect creates inefficiencies, reduces accountability, and prevents organizations from realizing the full potential of their technology investments. The report offers a four-step roadmap to move from isolated AI deployment to scalable human-plus-AI operations that deliver sustained business value. For supply chain professionals, this research underscores an urgent strategic priority: AI is not a plug-and-play solution.

Success requires reimagining work processes, building organizational capability to leverage AI insights, and maintaining human oversight where judgment and accountability matter most. Organizations that treat AI as merely a cost-reduction tool will miss competitive advantages, while those that strategically align technology with workforce redesign will unlock new levels of operational excellence and resilience.