22% of firms cut entry-level hiring due to AI: Gartner
CONNECTICUT, UNITED STATES — A Gartner survey of 110 human resources (HR) leaders found that 22% report at least one business leader in their organization has stopped entry-level hiring due to artificial intelligence (AI) automation — even as just 20% of organizations say AI has delivered significant value.
AI automation hits entry-level roles across sectors
The survey found that 95% of organizations have implemented AI in some form, but just 20% report achieving significant or transformational value.
The entry-level impact is already visible — 22% of HR leaders say at least one part of their organization has stopped hiring junior workers.
The research identifies downstream consequences: higher recruitment costs, fewer opportunities for internal skill development, reduced institutional knowledge, and increased pressure on new hires to handle complex work immediately.
A separate Gartner survey of 3,086 employees found that workers who develop adaptable skills are 3.8 times more likely to report high skills preparedness.
Kaelyn Lowmaster, director analyst in the Gartner HR practice, said organizations are assuming more risk than they realize. ‘Organisations that respond by cutting their early career talent pipelines altogether risk creating significant workforce challenges down the road,’ Lowmaster said.
The firms cutting entry-level hiring are betting on AI productivity gains that most organizations have yet to see at scale.
Pipeline risk deepens as development models lag behind
‘Organisations can no longer depend on traditional approaches to employee development,’ said Meaghan Kelly, director analyst in the Gartner HR practice, noting that AI integration requires rethinking how junior talent learns on the job.
Pausing or eliminating junior pipelines risks leaving organizations short on institutional knowledge and leadership capacity precisely when judgment-intensive work becomes most valuable.
Gartner recommends redesigning entry-level roles around AI — identifying tasks that AI handles well and redirecting junior employees toward responsibilities that build judgment, stakeholder management, and institutional knowledge.
Organizations that have achieved significant or transformational AI value share a common trait: they continued investing in human capability alongside technology.
Junior talent is not a cost to eliminate — it is the pipeline from which the senior expertise that AI cannot replicate is built.
For business process outsourcing (BPO) providers, cutting entry-level hiring to offset AI costs creates the skills gaps that compound over time. BPO operators that redesign junior roles around AI — rather than eliminate them — build the judgment-rich pipeline that complex client work requires. Early-career investment now is the institutional knowledge and leadership capacity that no AI tool can reproduce.
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Disclosure: Outsource Accelerator uses AI tools in the backend of its editorial workflow. Every article is reviewed and verified by a human editor before publication.
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