Supply chains are automating fast. Planning systems are getting smarter, warehouses more autonomous, and AI is taking on procurement logistics and operations tasks that once required significant manual input.
One part of this transformation is getting far less attention: the jobs surrounding the technology.
Recent research analysing 300 supply chain job briefs written between 2020 and 2026 spanning food and drink, automotive, ingredients and other manufacturing sectors suggests organisations are changing their technology faster than they are changing the roles responsible for it.
Transformation language is already well established. “Change Management” and “Transformation” appeared in 36% of briefs, “ERP and systems capability” in 32% “Resilience” in 31% and “Risk Management “in 28%. Explicit AI and machine learning requirements, by contrast, appeared in roughly 1 in 10 briefs combined.
More striking still: wider transformation expectations rose sharply as roles became more senior, but AI specific language stayed almost flat around 8-9% across manager, director and executive levels.
This doesn’t mean senior leaders are incapable of working with AI – a job description is an imperfect measure of what happens inside an organisation. But it raises a real question: as more operational decisions become AI enabled, are we being clear enough about who is responsible for governing them?
Take the warehouse and logistics environment. Automation increasingly supports load assignment, inventory decisions, routine tracking and task allocation. As that happens, the value of the human role does not disappear – it shifts. A logistics professional may spend less time coordinating routine activity and more time managing exceptions, responding to disruption, and making calls the system can’t account for.
A warehouse or inventory leader working alongside increasingly autonomous systems needs more than traditional operational experience. Their mandate may now include supervising those systems, setting escalation points and managing teams where people and technology work side by side.
The same shift is playing out elsewhere in supply chain. Planners move from producing forecast manually to challenging assumptions and managing exceptions. Analysts move from producing standard reports to interpreting outputs and advising decision makers. Procurement leaders increasingly need to know where automated decisions require human intervention.
The common thread is accountability. The more technology can do independently, the more important it becomes to define what should be allowed to do independently.
That doesn’t mean adding AI experience in every job spec. Instead, leaders should look at the roles closest to automated and AI enable decisions and ask three practical questions.
- What decisions is the technology now making or influencing?
- Where is human judgement still required?
- When an automated decision creates a problem, who is accountable for the outcome?
If those answers aren’t clear, the issue may not be the technology, or even the availability of skills – it may be the role itself.
Supply chain automation will keep accelerating. The organisations best prepared for it won’t be the ones investing in the strongest technology. They’ll be the ones redesigning the human roles around it at the same pace.
Johnny Smyth, Managing Director Nexus Search, Europe
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