AI Talent Demand Surges 387% in Supply Chain Roles, Gartner Reports
Organizations face hiring challenges as skills shortages push teams to invest in internal talent development.
Key Takeaways:
- Demand for supply chain professionals with AI expertise has surged 387% since 2023.
- Organizations must invest in upskilling existing employees to build AI capabilities at scale.
- Combining experienced AI specialists with emerging talent can create a sustainable pipeline for long-term innovation.
Gartner has warned that organizations are facing intensifying competition for AI talent in supply chain roles, as demand surges for professionals who can combine deep domain expertise with advanced AI capabilities. This growing imbalance is putting pressure on companies to rethink how they attract and develop the skills needed to stay competitive.
According to a new report from Gartner, job demand for supply chain roles requiring AI expertise surged by 387% between early 2023 and early 2026. Companies are struggling to find professionals who combine supply chain knowledge with AI skills, which leads to tougher hiring competition, higher salaries, and longer recruitment times.
“The demand for AI skills in supply chain is accelerating at a rate that far exceeds the broader labor market, creating a widening talent gap that organizations cannot close through hiring alone,” explained Tess Frenzel, director analyst in Gartner’s supply chain practice.
This study found that most AI-related supply chain roles are aimed at mid-to-senior or director-level employees. Moreover, the shortage of qualified talent cannot be addressed solely through recruitment, and organizations must adopt broader workforce strategies.
How can organizations strengthen supply chain teams for the AI era?
Organizations are encouraged to move beyond relying solely on external hiring to fill AI talent gaps in supply chain functions. Instead, they should focus on building skills internally by training existing employees and creating opportunities for them to develop both technical AI knowledge and practical supply chain expertise. This approach helps reduce dependence on a limited talent pool and enables companies to scale AI adoption more effectively across their operations.
At the same time, companies are advised to adopt a balanced workforce strategy by combining experienced professionals with emerging talent. Moreover, expanding opportunities for entry-level employees can help create a sustainable pipeline of future talent. Organizations must invest in both seasoned experts and develop new capabilities internally to better prepare for an AI-powered future and build more resilient supply chain teams.
Rabia has a master's degree in Software Engineering and she has years of experience writing professionally about Microsoft products and other technologies. Rabia has also written for OnMSFT.com as well as Windows Report. She is always up to date on t...
