AI Is Removing Tactical Supply Chain Work: The Talent Employers Need Next

Artificial intelligence is beginning to remove tactical and administrative work from supply chain roles. That does not necessarily mean that businesses will need fewer supply chain professionals, but it does mean they need different capabilities.

As AI takes on more data processing, analysis, and repeatable tasks, the value of human talent shifts towards judgement, stakeholder influence, relationship management, technical expertise, and strategic decision-making.

Demand for those capabilities is already moving quickly. Recent Gartner research found that demand for supply chain roles requiring AI skills increased 387% between Q1 2023 and Q1 2026. Gartner analyzed more than 35 million job postings, including almost 600,000 supply chain roles, and found that 58% of roles requiring AI capabilities were at mid-to-senior level.

For employers, the question is no longer simply where AI can improve efficiency. It is what talent they need when AI becomes part of everyday supply chain operations.

AI is shifting where supply chain talent adds value

AI is particularly suited to repeatable, data-heavy and rules-based activities.

In planning, it can support forecasting, scenario modelling and exception identification. Procurement teams can apply it to spend and supplier analysis. Logistics functions can use AI to support routing, network decisions and capacity planning. In engineering and manufacturing, automation and increasingly sophisticated analytics are changing how facilities and equipment are managed.

Investment is moving rapidly in this direction. Gartner forecasts that spending on supply chain management software with agentic AI capabilities will grow from less than $2 billion in 2025 to $53 billion by 2030. The same research predicts that 60% of enterprises using supply chain management software will have adopted agentic AI features by 2030, compared with 5% in 2025.  These developments put tactical work under pressure.

Christine Corson, Managing Director at DSJ Global USA, explains the shift in the USA Supply Chain Talent Report 2026:

Christine adds that as AI handles more data processing and analysis, professionals can devote more time to building relationships, influencing stakeholders and developing wider business strategy.

That distinction should influence how employers approach hiring.

The supply chain professional of the future is not simply someone who can operate an AI platform. Businesses need people who understand what the technology is telling them, recognize when an output needs to be challenged, and can turn information into sound commercial and operational decisions.

AI supply chain skills are becoming harder to find

It’s important to note that AI adoption does not automatically translate into AI capabilities, however. Gartner research has found that 50% of chief supply chain officers surveyed reported limited internal expertise or talent to implement and manage AI. Meanwhile, 56% identified integrating AI with legacy systems and processes as a major challenge.

This creates an important distinction for hiring managers. AI literacy does not mean that every planner, procurement professional, or logistics leader needs to become an AI engineer. For many positions, employers instead need functional specialists who understand the possibilities and limitations of AI and can apply its outputs to real supply chain decisions.

That combination of domain expertise and AI capability is already contributing to competition for talent. 

Five capabilities supply chain employers should prioritize

1. AI literacy combined with functional expertise 

AI literacy is already becoming a priority for supply chain professionals.

In DSJ Global's USA Supply Chain Talent Report 2026, which draws on responses from 1,348 supply chain professionals, planning professionals were particularly likely to identify AI literacy as the most important capability for their role over the next three years, at 29%. The figure was 28% among supply chain leaders.

The same pattern is visible in DSJ Global's Europe Supply Chain Talent Report 2026. Planning professionals were again the group most likely to select AI literacy, at 24%.

For a demand planner, this could mean assessing an AI-generated forecast against commercial context and customer behavior. For a procurement leader, it could mean interpreting supplier-risk analysis before deciding whether to change a sourcing strategy.

The differentiator is knowing how to apply the technology, not just knowing how to access it.

2. Judgment when conditions change 

Supply chains rarely operate in perfect conditions. Trade restrictions, geopolitical disruption, supplier failures, sudden demand changes, quality problems, and transportation constraints can rapidly make existing assumptions unreliable.

That makes human judgment particularly important. Matthew Wood, Managing Director at DSJ Global Europe, points to the growing profile of supply chain expertise in the Europe Supply Chain Talent Report 2026:

He notes that professionals are receiving greater recognition internally and that more CEOs are coming from supply chain backgrounds.

AI can help businesses identify an emerging problem and analyze possible scenarios faster. Experienced professionals still need to understand the wider consequences and decide how the organization should respond.

3. Relationship and stakeholder management

As technology takes on more analytical and administrative work, the human aspects of supply chain roles become more prominent.

DSJ Global's US research found that professionals selecting capabilities outside the predefined survey options frequently highlighted networking, maintaining vendor relationships, adaptability, and business acumen.

In Europe, the trend is particularly apparent in commercial roles. Some 47% of commercial solutions professionals selected interpersonal skills as the capability they believe will be most important as supply chains automate and transform.

These skills matter because technology can provide the data behind supplier negotiation, customer discussion, or cross-functional decisions, but it cannot take accountability for the relationship.

The ability to influence stakeholders, negotiate effectively, and build productive relationships across suppliers, customers and internal teams remains a significant source of human value.

4. Technical and operational problem-solving

Not every part of a supply chain can be digitized.

Physical operations still need professionals who can diagnose and resolve problems across plants, production lines, warehouses, equipment, and infrastructure.

Our European research demonstrates this distinction. Engineers were most likely to select hands-on troubleshooting, at 30%, or technical skills, at 21%, among the capabilities they believe will matter most as supply chains automate.

The implication for employers is that AI capability should complement operational expertise rather than displace it. Automation engineers, controls specialists, process engineers, manufacturing engineers, maintenance professionals, reliability specialists and operational excellence leaders can all become increasingly important as organizations introduce more technology into physical operations.

5. Leadership across functions

AI can make information move faster, but businesses still need people who can turn it into coordinated action.

A supplier problem may affect procurement, planning, manufacturing, inventory, logistics, and customer delivery simultaneously. An AI system may identify the risk, but resolving it can require negotiation between several functions with competing objectives.

This is where end-to-end supply chain understanding becomes particularly valuable.

Christine Corson makes a similar point when discussing changes when it comes to hiring in the US: 

For employers, this creates demand for professionals who can connect individual supply chain functions with wider business priorities.

AI is also changing the early-career talent pipeline

One of the most significant workforce questions created by AI sits at the beginning of the career ladder.

A Gartner survey of supply chain leaders found that 55% expect advances in agentic AI to reduce the need to hire for entry-level positions.

But the same research found that 86% believe adopting agentic AI will require new processes for developing future talent pipelines.

That presents employers with a potential succession problem.

Many experienced supply chain leaders developed their judgment by completing the tactical work that AI can now automate. They learned how forecasts were constructed, why supplier negotiations failed, what caused production problems, and how individual decisions affected other functions.

If organizations remove too many developmental positions, future managers and directors may have fewer opportunities to acquire that experience.

There may also be a financial consequence. By 2030, 75% of supply chain organizations that paused entry-level hiring in 2026 will pay premiums of up to 15% for early-career professionals.

The alternative is to redesign junior positions rather than simply remove them. Early-career professionals can spend less time manually preparing reports and more time interpreting information, working across functions, developing AI proficiency, and learning how decisions are made.

AI should change the hiring brief

The risk for employers is hiring for yesterday's supply chain. Replacing a position like for like may no longer make sense when the organization is simultaneously investing in AI, automation, and new operating models.

The first question should therefore be how the work itself is changing. Before going to market, employers should consider:

• Which tactical activities within this position can AI now support or automate?
• Which decisions still require human judgment and accountability?
• Where does the role require stronger AI or data literacy?
• Which stakeholder and supplier relationships influence performance?
• Does the position need greater cross-functional or commercial understanding?
• Which technical capabilities cannot easily be automated?
• How will someone in this position develop into a future supply chain leader?

What does this mean for supply chain talent strategy?

The evidence points towards a change in the composition of supply chain work rather than a straightforward reduction in the need for people.

DSJ Global's US research found that 67% of professionals were either not at all concerned or only slightly concerned that AI would displace their role. Concern was greater among individual contributors and managers than among senior leaders.

In Europe, DSJ Global's findings similarly point towards human judgment, stakeholder management, and relationship-building retaining their value as technology develops.

Employers should therefore resist treating AI solely as a headcount exercise. Some businesses will need permanent professionals capable of building and operating an AI-enabled supply chain over the long term. Others may need contract expertise to deliver transformation, systems implementation or operational improvement programs. Organizations creating new functions or moving operations may require several specialists at the same time.

The common requirement is clarity about which capabilities will create value once tactical work begins to disappear.

Create teams around the work AI cannot do alone

AI is removing some tactical supply chain work. At the same time, it is increasing demand for people who can connect technology with the realities of planning, procurement, engineering, logistics, and operations.

That creates a different talent challenge. The professionals businesses need next will increasingly be those who can interrogate information rather than simply produce it, build relationships rather than process transactions, solve physical operational problems, connect decisions across functions, and exercise judgment when there is no obvious answer.

Employers that rethink roles early can put themselves in a stronger position as AI adoption accelerates.

Build the supply chain team your business needs next

As AI changes how supply chain work gets done, hiring requirements are changing with it.
DSJ Global connects organizations with business-critical professionals across Planning, Procurement, Engineering, Logistics, Supply Chain Leadership, Technical Operations and Commercial Solutions.

Whether you need specialist expertise for an AI or transformation project, permanent talent to strengthen long-term capability, or multiple hires to build a new team, our specialists can help you identify and access the skills your business needs.

Discuss your talent requirements with DSJ Global today.