Nearly every chief executive surveyed in Mercer’s 2026 Global Talent Trends report expects AI driven layoffs within the next two years, a finding that crystallises a corporate consensus that is already reshaping the white-collar labour market and crushing employee morale.
What the Mercer Data Shows on AI Driven Layoffs
According to the consulting firm Mercer, 99% of CEOs said they are prepared for AI-driven headcount reductions in the short term. The report found that most executives believe redesigning work to incorporate automation will deliver the greatest return on investment. Yet confidence in the workforce’s ability to execute that transition is notably thin: only 32% of the same leaders said they believe their organisations can optimally combine human and machine capabilities, Mercer reported.
The disconnect between executive ambition and workforce readiness sets the stage for a disorderly transition. Companies across industries — and increasingly those concentrated in Silicon Valley — have cited AI performance as sufficient justification for significant job cuts over the past year. The dynamic mirrors patterns already visible in Meta’s AI restructuring, which shifted 7,000 staff while cutting 10% of headcount, and broader automation anxiety rising across the tech sector in 2026.
Economists and labour researchers remain divided, however, on whether the productivity gains being claimed by executives can actually justify the scale of job reduction under way. Some analysts have characterised AI’s workforce disruption narrative as a strategic device used by the AI industry to market its products, rather than a reflection of real operational change.
Early-Career Workers and the AI Driven Layoffs Fallout
The sharpest edge of AI driven layoffs is falling on young workers. A separate consulting survey cited in the source material found that most anticipated AI-related headcount reductions are expected to target early-career roles — positions that typically involve the simpler, repeatable tasks AI systems are best equipped to automate. These are also the roles through which junior employees accumulate the on-the-job experience needed to advance.
The consequences are measurable. Multiple studies published over the past year indicate the job market for workers aged 22 to 27 is now at its worst point since the depths of the pandemic, according to the source material. The result has been widespread disillusionment: research shows that Gen Z’s use of AI tools is plateauing, and members of that cohort increasingly report anxiety and anger toward the technology.
That scepticism has spread beyond younger workers. An NBC News poll conducted in March found that AI had become so broadly unpopular among voters that even the Immigration and Customs Enforcement Agency — which sat at the centre of a national controversy — registered higher favourability ratings than AI, according to the poll’s findings.
The broader workforce picture is stark. Mercer’s survey found that only 44% of employees reported thriving at work in 2026, down sharply from 66% in 2024. The firm attributed the decline directly to anxiety over AI-driven job displacement. This emotional toll has a clinical dimension: researchers are now proposing the term AI replacement dysfunction, or AIRD, to describe the existential distress and deep anxiety prevalent among workers facing potential replacement by automated systems. The pattern fits a growing body of concern explored in reporting on Silicon Valley’s AI divide and the brutal job market facing tech workers.
For corporate strategists, the figures present a governance and talent retention problem that extends well beyond near-term cost savings. A workforce in which fewer than half of employees report thriving is one that may struggle to deliver the higher-order, human-in-the-loop capabilities that the 68% of CEOs — those who doubt optimal human-machine integration is achievable — are already sceptical about. Reuters and other outlets have tracked similar executive surveys pointing to the same tension between automation ambition and human capital risk.
Whether the productivity case for AI driven layoffs holds under scrutiny remains an open question. Experts cited in the source material are conflicted, and the strategic framing by some in the AI industry casts further doubt on the robustness of the underlying business justification.
Key Takeaways
- Mercer’s 2026 Global Talent Trends report found that 99% of CEOs are prepared for AI driven layoffs within two years, reflecting near-universal executive intent.
- Only 32% of surveyed CEOs believe their workforce can optimally combine human and machine capabilities, signalling a significant execution gap.
- Early-career workers are disproportionately in the firing line, with the job market for 22-to-27-year-olds at its worst level since the pandemic.
- Employee wellbeing has deteriorated sharply: the share of workers reporting they are thriving fell from 66% in 2024 to 44% in 2026, per Mercer, driven by AI displacement anxiety.
- Researchers are proposing a new clinical term — AI replacement dysfunction (AIRD) — to describe the psychological harm now measurable across the workforce.
