When tech outruns talent

From the January-February 2026 edition of Supply Chain Management Review.

January-February 2026

The January 2026 issue of Supply Chain Management Review explores how rapid advances in autonomous trucking, AI-driven optimization, and workforce development are redefining what it means to lead a modern supply…

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The supply chain profession is standing at a crossroads. Technology is advancing faster than ever. Autonomous trucks are moving toward commercial deployment. AI is shifting from predictive to agentic decision-making. Digital transformation is giving way to self-aware systems. But the more time I spend with supply chain leaders, the more one truth seems to emerge: none of this technology will deliver on its promise unless we develop the people who know how to use it.

This issue highlights just how quickly the ground is shifting beneath us. In our cover story on autonomous trucking, Steve Tracey and Kusumal Ruamsook write that “the recent decade witnessed the rapidly evolving nature of autonomous trucking technologies, offering promises of improved logistics, inventory management, and customer service for supply chains.”

Their analysis makes something else equally clear: the real opportunity isn’t just driverless trucks, it’s the transformation of freight planning, network design, and customer service that supply chain managers will need to orchestrate.

The same theme surfaces when the discussion turns to Agentic AI, where data, not algorithms, is emerging as the real gatekeeper of progress. Most supply chains still can’t feed AI agents what they need. Data lives in silos, master records don’t match, and legacy platforms refuse to talk to one another.

And even more importantly, as Gartner noted, Agentic AI “requires real-time access to contextual data across suppliers, production, logistics, and customer channels” to function effectively.

Technology may be ready, but organizations, and the people within them, often aren’t.

That gap between technological capability and human capability is the defining challenge of our time.

We can deploy autonomous trucks, but do our teams know how to redesign inventory strategies and facility footprints around a world of faster, more consistent transit times? We can implement Agentic AI, but do our planners know how to govern, validate, and interpret decisions made by machines? We can invest in digital transformation, but do we have the talent and the leadership vision to translate data into real competitive advantage?

Our January issue puts those questions front and center. From cocoa supply chain diagnostics to hidden cost structures in service markups to the evolving role of tuition programs in frontline training, a unifying message emerges: technology alone won’t get us there. People will.

If we fail to upskill today’s workforce and cultivate tomorrow’s leaders, AI becomes just another expensive tool; autonomy becomes just another pilot program; and digital transformation becomes just another initiative that never reaches scale.

But if we invest in talent—deeply, intentionally, and consistently—we unlock the full value of every technological advance reshaping our industry.

That is the work ahead. And it starts now.

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