A Mercer Global Talent Trends survey finds only 44% of employees feel they are thriving at work, while 99% of senior managers expect AI to trigger staff cuts. The report highlights widening confidence gaps across regions and sectors, signaling a looming talent challenge for firms racing to adopt generative AI.
Worker confidence hits record low as AI threatens jobs, global report finds
A new Mercer Global Talent Trends survey released on May 22, 2026 shows worker confidence sliding to its lowest point in the study’s 15‑year history. Only 44 % of respondents say they are thriving at work, down from 58 % recorded in 2022. The drop is most pronounced among mid‑career professionals in technology‑heavy economies, where fear of automation is reshaping career outlooks.
Market context
- Regional breakdown – Confidence fell below 40 % in Japan, South Korea and the United States, while the highest scores (just above 50 %) were recorded in Germany and Canada, where upskilling programs are more mature.
- Sector impact – 71 % of tech workers and 63 % of finance professionals cite AI‑driven job insecurity as the primary factor eroding confidence. In contrast, manufacturing and retail reported lower anxiety levels (48 % and 45 % respectively), reflecting slower AI adoption rates.
- Management expectations – Among senior executives surveyed, 99 % believe that integrating generative AI will lead to at least some staff reductions, with 42 % forecasting cuts of 10 % or more within the next 18 months.
- Talent churn – The survey estimates that voluntary turnover could rise by 3.2 percentage points globally by 2027 if firms do not address reskilling needs, adding roughly 12 million potential job exits per year.
What it means for businesses
- Accelerated upskilling demand – Companies that invest in structured AI‑skill pathways are likely to mitigate confidence loss. Mercer's data shows firms with comprehensive training programs enjoy a 12 % higher employee thriving rate than those with ad‑hoc initiatives.
- Strategic workforce planning – The near‑universal expectation of staff reductions suggests senior leaders must adopt scenario‑based planning. Modeling potential headcount changes against AI rollout timelines can help avoid sudden, morale‑damaging layoffs.
- Retention risk pricing – HR budgets may need to incorporate a “confidence premium” – higher compensation or benefits aimed at retaining talent in high‑anxiety roles. Early adopters of such premiums have reported a 5‑7 % reduction in turnover compared with peers.
- Regulatory scrutiny – As AI‑related redundancies rise, labor ministries in Japan, the EU and the United States are discussing disclosure requirements for AI‑driven workforce changes. Companies that proactively communicate transition plans could avoid future compliance costs.
- Investor perspective – Analysts are beginning to factor employee confidence into earnings forecasts. Firms that demonstrate measurable improvements in the Mercer thriving metric may see valuation bumps of 2‑4 % as investors view them as lower‑risk in the AI transition.
Bottom line
The Mercer report paints a stark picture: AI is not only reshaping how work gets done, it is reshaping how workers feel about their future. Organizations that treat confidence as a strategic asset—by pairing AI deployment with robust reskilling, transparent communication, and targeted retention incentives—stand to protect both productivity and market valuation as the technology wave gathers speed.
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