Observed Signal · May 27, 2026 · Market Research / Survey · Source: t3n · Impact: 2/5 · Sentiment: Negative
Survey: 99% of CEOs Plan AI-Driven Job Cuts
A Mercer report based on a US survey of nearly 1,000 CEOs (part of the Global Talent Trends 2026 dataset of ~12,000 respondents) finds that 99% of CEOs expect to replace employees with AI tools within the next two years. Most (67%) anticipate workforce reductions of 1–10%, while 32% expect cuts of 11–20%. CEOs estimate that currently about 50% of work is done without AI and expect that to fall to 35% after AI adoption. Employee concerns have risen (40% fear job loss vs. 28% in 2024), and 62% of employees believe managers underestimate the emotional and psychological impacts of AI-driven change; only 19% of HR professionals consider monitoring those impacts important.
Provides quantitative evidence of rapid AI adoption and anticipated workforce reductions, signalling operational and talent risks for marketing and tech organisations but is not a platform policy or major technical release.
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Key Takeaways & Evidence Grounding
- Mercer surveyed nearly 1,000 CEOs in the US as part of its Global Talent Trends 2026 research.
- 99% of surveyed CEOs expect to lay off employees replaced by AI within the next two years.
- 67% of CEOs expect workforce reductions of 1–10%; 32% expect reductions of 11–20%.
- CEOs estimate current share of work done without AI at ~50%, falling to ~35% after AI adoption and related cuts.
- Employee concern about AI-driven job loss rose to 40% (from 28% in 2024); 62% of employees say managers underestimate emotional impacts; only 19% of HR see tracking those impacts as important.
Connected Companies & Entities
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Survey: Execs Say AI Lowers Value of Human Employees
A Globalization Partners (G-P) survey of 2,850 executives across six major markets (including the US, France and Germany) finds that 82% believe AI has reduced the value they ascribe to human employees. The AI-at-Work Report 2026 also reports underwhelming ROI: 73% said some recent AI investments fell short of expectations, and nearly 70% of executives are prepared to cut AI budgets in 2026 if targets are not met. Leaders worry about misleading productivity signals—88% fear employees use AI to pretend productivity, and 47% are very or extremely concerned this is already happening. Additionally, 69% say staff spend more time monitoring, evaluating or reworking AI outputs, which may negate promised efficiency gains. G-P’s Pete A. Tiliakos emphasizes the need for expertise, governance and operational discipline to translate AI into business outcomes.
Tech workforce splits over AI in 2026
Noam Segal and collaborators’ second annual 2026 Tech Worker Sentiment Survey reached 5,920 tech professionals (analyses based on 5,332 currently employed). The report finds the workforce roughly split over AI — about half feel “Amplified” and thriving while the other half feel destabilized — and defines four archetypes (Energized, Conflicted, Disoriented, Resentful). Burnout climbed an 11-point year-over-year increase and career optimism declined; 82% say AI makes them more productive, yet many report lower work quality and fears of being expected to do more for the same pay. 41.2% are at least moderately worried about layoffs, though only 22% attribute direct job loss to AI. Designers and researchers report the most anxiety; founders and small-company employees are relatively more optimistic. The report highlights managers as the single biggest lever for wellbeing and offers practical guidance for leaders and workers.
CEOs Fear Underinvesting in AI
A Cisco survey of 2,500 chief executives across 23 countries finds that nearly two-thirds of CEOs worry they are underinvesting in AI. Infrastructure modernization is the top technology priority for 2026 (40% of CEOs), while fragmented data, AI security and outdated networks are seen as primary barriers to deployment. Cisco research also found 69% of CEOs view AI adoption as essential to competitiveness, yet fewer than one-quarter report networks fully optimized for AI and only 19% say in-house data is fully centralized. Despite increased AI awareness — boardroom knowledge gaps have narrowed — 72% of CEOs expect humans to retain oversight of AI systems through 2030. Cisco’s 2025 AI Readiness Index of IT leaders complements the CEO findings, underscoring a shift from experimentation to modernizing enterprise foundations for scalable, governed AI.
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