AI hiring shifts dramatically as 43% of CEOs plan to cut junior roles, favoring older workers

Reviewed byNidhi Govil

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A global CEO survey reveals a dramatic reversal in hiring priorities, with 43% planning to reduce junior positions over the next two years—up from just 17% last year. Companies are increasingly turning to AI to automate entry-level tasks while shifting focus to mid-level and senior workers. The tech sector faces the hardest hit, with 74% of CEOs freezing or reducing headcount, raising concerns about future talent pipelines.

AI Hiring Trends Reshape Workforce Demographics

The job market for younger workers has entered turbulent territory as AI hiring practices fundamentally alter corporate workforce strategies. According to a global CEO survey by Oliver Wyman, 43% of chief executives now plan to reduce junior roles over the next one to two years, a dramatic jump from just 17% last year

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. This reversal marks a significant shift in how AI impacting the job market affects different age demographics. Only 17% of CEOs indicated they would shift hiring to focus on more junior positions, essentially flipping last year's numbers

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The hiring shifts to older workers represent a strategic pivot driven by technological capabilities. Roughly 30% of respondents said they are shifting hiring to more mid-level roles, up from only 10% the previous year

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. John Romeo, who leads Oliver Wyman Forum, explained that mid- and senior-level employees are now viewed as key drivers of productivity in this new landscape

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. This transformation is turning traditional talent pyramids into diamonds, concentrating experience in the middle rather than building from the bottom up.

Source: Gizmodo

Source: Gizmodo

How AI Automates Entry-Level Tasks

The reduction in junior positions stems directly from AI's current capabilities. AI agents can now perform tasks traditionally assigned to entry-level employees, from writing code at the level of a junior developer to evaluating sales leads

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. Companies that would have ordinarily hired recent graduates are increasingly trying to have AI assistants automate that work, as Fed Chair Jerome Powell acknowledged when discussing the deteriorating job market for 22-to-27-year-olds

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What AI cannot replicate, however, is the human judgment and critical thinking that comes from on-the-job experience. Consultant Ravin Jesuthasan, who has written extensively on the future of work, noted that companies are now saying they need experienced workers because "her experience, her wisdom, her critical thinking and the fact that she solved these problems makes her much more valuable"

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. This gap in AI capabilities explains why job market leverage is shifting toward those with proven track records.

Source: Fortune

Source: Fortune

Focus on Midlevel Roles and AI-Augmented Operating Models

More than 90% of CEOs said they are deploying AI in their companies, though 67% remain at the planning or pilot stages

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. The Oliver Wyman report concludes that CEOs with the longest planning horizons are most likely to plan headcount reduction, suggesting they expect a structurally leaner organization as the endpoint of an AI-augmented operating model that requires fewer people, deployed differently

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The tech sector faces particularly severe impacts in this disruptive environment. Nearly 74% of CEOs are either freezing or reducing headcount, up from 67% last year, with technology, media, and telecommunications experiencing the most aggressive cuts

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. Bigger companies are leading this trend, with 39% of mega-size companies planning reductions versus 28% of smaller ones

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The ROI Reality Check

Despite widespread AI deployment, actual returns remain elusive for most organizations. Only 27% of CEOs said the return on AI investment had met or exceeded expectations, down from 38% just a year ago, and nearly a quarter saw absolutely no impact on revenue

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. More than half of respondents indicated it was still too early to assess whether AI deployment is actually returning promised productivity gains.

Interestingly, a contrarian subset of the most advanced AI adopters see the technology increasing the value of entry-level talent rather than replacing it

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. These executives who are actually seeing returns from AI reported a relatively higher rate of shift toward junior workers, though the majority still preferred mid-level employees.

Talent Pipeline Risks and Future Implications

The reduction in opportunities for entry-level employees creates serious concerns about talent shortages down the line. Helen Leis, global head of leadership and change at Oliver Wyman, emphasized that to have mid-level people capable of managing an agentic workforce, "they need to learn the company and the job"

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. The Oliver Wyman report warns that headcount reduction outpacing meaningful AI deployment can leave organizations exposed, and overreliance on systems still maturing introduces vulnerabilities

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As companies shift away from investing in junior employees to cut costs, they simultaneously jeopardize their talent pipeline. The harder question many CEOs are grappling with is what their company culture will look like in three years if investment in junior employees is not made today

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. A Harvard University study supports these findings, showing that firms adopting generative AI have significantly reduced junior-level positions while keeping senior employment largely stable

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Source: TechRadar

Source: TechRadar

IBM stands as a notable outlier, announcing in February plans to triple entry-level hiring in the US this year and rewrite job descriptions for the AI era

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. However, a Stanford University study found that young workers were 16% more likely to lose their jobs in the most AI-exposed fields

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. Teresa Ghilarducci, a labor economist at the New School, cautions that even experienced workers shouldn't feel too secure, noting that "firms' commitment to workers is weaker and weaker"

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