When AI Becomes the Excuse: What Monday.com and 20+ Tech Layoffs Reveal About Strategy

Trend context. Over the past year a string of high-profile technology employers have framed workforce reductions as driven by AI adoption or automation. While some announcements reflect true product/engineering transformations, many combine repositioning with aggressive headcount trimming. This pattern elevates governance, transparency, and strategic clarity as board-level priorities.

Business impact. Framing layoffs as 'AI-driven' has three consequences: it pressures remaining staff with productivity expectations, signals to investors a pathway to margin improvement, and raises reputational and regulatory risk. For customers, sudden team changes can degrade service continuity and product roadmaps if knowledge transfer isn't managed deliberately.

What leaders should know. Distinguish between automation that eliminates repetitive work vs. capability shifts that require redeployment and reskilling. Prioritize staged workforce transitions: (1) assess and map tasks that automation can safely absorb, (2) create redeployment and reskilling tracks, and (3) communicate roadmaps clearly to reduce churn and legal exposure. Use data to justify headcount moves - which roles, productivity baselines, and measurable KPIs will change.

Actionable guidance. Build a cross-functional AI adoption playbook that ties automation investments to customer outcomes, continuity plans, and ethical considerations. Invest in retention of domain experts through focused training or transitional roles (e.g., AI oversight, model validation). Finally, prepare clear external communications that explain the business rationale beyond the shorthand 'AI did it' - this reduces risk and preserves long-term talent and customer trust.