Mercer Survey Shows 99% of Executives Brace for AI‑Driven Layoffs Within Two Years

Why It Matters

The Mercer survey crystallizes a consensus that AI will not only automate tasks but also trigger large‑scale headcount reductions, especially among early‑career workers. For the management‑consulting industry, this translates into heightened demand for change‑management, workforce‑design, and employee‑experience services. Firms that can help clients balance productivity gains with talent retention will capture a growing share of consulting spend. Beyond immediate consulting opportunities, the data signals broader macro‑economic shifts. If AI‑driven layoffs materialize at the scale suggested, labor market dynamics, wage growth, and consumer spending could be affected, prompting policymakers and corporate boards to reconsider the social contract of work. Consulting firms that advise on these systemic implications will gain strategic relevance beyond traditional project work.

Key Takeaways

• 99% of surveyed executives expect AI‑driven layoffs within two years.
• Survey covered 12,000 respondents across C‑suite, HR, and middle management.
• Only 32% believe firms can effectively combine human and machine capabilities.
• Employee thriving dropped from 66% in 2024 to 44% in 2026, per Mercer data.
• Goldman Sachs CEO David Solomon warned the AI job apocalypse may be overstated.

Pulse Analysis

The Mercer numbers are a wake‑up call for both clients and consultancies. Historically, technology‑driven disruptions—such as the rise of ERP systems in the early 2000s—generated a wave of consulting engagements focused on process re‑engineering and workforce reskilling. AI’s rapid diffusion, however, compresses the timeline: firms now face the prospect of cutting staff while simultaneously needing to upskill remaining employees to work alongside generative models. This dual pressure creates a lucrative niche for consultancies that can deliver integrated talent‑strategy and technology‑implementation roadmaps.

From a competitive standpoint, the data also reshapes the consulting landscape. Traditional strategy firms may double‑down on high‑level workforce‑planning services, while boutique firms specializing in AI ethics, change management, and employee experience could capture a larger slice of the market. The divergence in executive sentiment—highlighted by Solomon’s optimism versus the survey’s bleak outlook—suggests a split market: some clients will double‑down on AI adoption, others will adopt a more cautious, hybrid approach. Consulting firms that can diagnose a client’s position on this spectrum and tailor solutions accordingly will differentiate themselves.

Looking ahead, the real test will be whether the predicted layoffs materialize. If they do, consultancies will likely see a surge in demand for outplacement, redeployment, and brand‑reputation services as firms manage the fallout. If the disruption proves less severe, the focus may shift to leveraging AI for augmentation, driving a second wave of consulting spend centered on talent‑upskilling and new role creation. Either scenario underscores the strategic importance of AI‑related workforce insights for the consulting sector’s growth trajectory.