GoKawiilA recent study by consulting firm Mercer has revealed that an unprecedented 99% of CEOs envision AI-driven layoffs in the short term. The survey, which covered 12,000 C-suite executives, HR leaders, employees, and investors, showed that an overwhelming majority of executives expect AI "to lead to at least some headcount reduction in the next two years." At the same time, work and economic anxiety are increasing among employees, while workplace well-being has plummeted, with the portion of workers reporting that they "feel good at work" dropping from 66% in 2024 to just 44%.
The report also revealed that young professionals, aged 22 to 27, face the highest risk of job displacement as CEOs target simple tasks that typically served to train new hires. Because generative AI excels at codifiable, routine entry-level tasks, companies are slowing down traditional junior hiring pipelines. Standard Chartered recently announced plans to cut 7,000 jobs to replace ‘lower-value human capital’ and focus on automation.
Confirming the trend is another report from the consulting firm Oliver Wyman, based on a global survey of CEOs. The Oliver Wyman report revealed that the number of companies actively reducing junior/entry-level roles spiked from 17% to 43% in a single year due to automation.
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Whether massive AI adoption and the resulting trends are worth it remains to be seen. Around 40,000 tech industry employees lost their jobs in the first quarter of 2026. Despite such trends, the Mercer report found that only 32% of surveyed executives believe their companies can effectively combine human labor with AI systems, even as they heavily push for AI to maximize return on investment.
Oliver Wyman’s report shows that AI was a top-three priority for most CEOs, with more 90% confirming the deployment or intention to deploy AI in their companies. Conversely, more than 50% say they can’t yet tell whether this AI deployment is actually delivering on the expected productivity gains.
A mere 27% of CEOs said the return on AI investment had actually met or exceeded expectations, down from 38% the previous year. Nearly 25% said they had seen absolutely no impact on revenue. The report suggests that the realities of redesigning entire workflows may be curbing AI enthusiasm, even as the worrisome trends continue.
While massive corporations like Amazon, Accenture, and Meta continue to announce thousands of job cuts tied to automation, macroeconomic data reveal a more complex narrative. Data highlighted by Fortune shows that automation-driven layoffs have frequently failed to deliver promised financial returns or measurable productivity gains.
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Another interesting narrative is an AI smokescreen. Reports from labor analysts like Challenger, Gray & Christmas indicate that while AI is the most frequently cited reason for job cuts, many experts believe tech CEOs are using AI as a smokescreen to mask deeper internal struggles, corrections to overhiring, and shifts toward outsourcing.
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