Entry-level job cuts are how nearly half of supply chains have responded to AI, and the cuts are not evenly spread across the workforce.
Gartner, the technology research and advisory firm, surveyed 303 supply chain leaders across North America, Western Europe, Asia-Pacific and Latin America between 5 May and 11 June 2026, as detailed in findings the firm published that October. Every respondent had visibility into or influence over their organisation’s or function’s AI strategy, and all had already integrated AI into their workflows to some degree. Forty-seven per cent said they had reduced headcount by an average of 10.5 per cent over the past two years, primarily because of AI, a reason other organisations making similar cuts this year have been far less consistent about naming out loud: one recent restructuring drew two different explanations from its own CEO and CFO on the same day. Sixty-six per cent said that reduction was concentrated at entry level, more than double the share reporting cuts anywhere else in the workforce.
Entry-Level Job Cuts Are Thinning the Pipeline First
Tess Frenzel, a director analyst in Gartner’s Supply Chain practice, put the risk plainly: “AI is thinning the entry-level supply chain workforce faster than most chief supply chain officers are redesigning the talent pipeline, creating a future capability gap that will actually weaken their organisations’ AI performance.”
Supply chains have long relied on large entry-level intakes to produce candidates for senior roles, even allowing for high attrition along the way. A smaller intake leaves fewer people to promote from, at the exact moment those remaining roles need new skills to work alongside AI rather than compete with it. Cut the bottom of a pipeline and the shortage surfaces on a delay, years later, when the organisation needs managers it never trained.
The Organisations Pulling Ahead Are Redesigning the Role
Gartner’s analysis found that the top 25 per cent of supply chains, ranked on AI integration, AI-enabled automation and business outcomes, are redesigning the entry-level role itself rather than simply protecting the headcount.
“Compared with two years ago, these organisations require more domain-specific and analytics skills and greater supply chain experience, while involving entry-level employees in less repetitive work and more consequential decisions,” Frenzel said. The repetitive tasks that once filled a junior employee’s first two years, chasing shipment updates, reconciling spreadsheets, flagging exceptions, are exactly the tasks AI now handles. What is left is judgement work, and judgement work is what builds a future manager.
Gartner’s recommendations for chief supply chain officers point the same way. Pair technically skilled juniors with mid and senior staff to build business acumen, put them to work supporting AI deployment and oversight, and give them the experience they will need to manage AI operations later. Establish real visibility into how AI models are being used, test the assumptions and data behind them regularly, and assign clear accountability for what the AI produces. Adopt team structures that cross-pollinate knowledge between functions, which Gartner links to stronger aligned KPIs as well as better AI deployment. Each recommendation assumes the juniors are still there to invest in, which is exactly the assumption the headcount numbers are putting at risk.
Fewer Junior Roles Now Means Fewer Leadership Candidates Later
Cutting entry-level headcount without redesigning it defers a cost rather than cutting one. Frenzel called it directly: “Producing fewer candidates for traditionally defined leadership roles is a miscalculation, as supply chains will require new competencies both for entry-level and leadership positions as a result of working alongside AI.” This point reinforces the first: Gartner’s research also points to a shift in what middle-management positions now require compared with two years ago, whether or not the organisation has noticed.
A PMO or HR function tracking entry-level job cuts as a cost-saving metric is measuring only half the picture. The number that matters sits one layer down: of the entry-level roles that remain, how many involve real decisions rather than data entry, and how many of the people in them are being actively developed toward something bigger.
Name the entry-level role your organisation cut or froze in the past year. Ask who was supposed to grow into the manager your business will need in 2032, and where that person is now meant to come from.
The leadership gap Gartner is describing will not announce itself this quarter. It will announce itself the first time a senior role opens and nobody inside the organisation is ready to fill it.
