IA · 26 July 2026 · 4 min read
Monday.com Cuts 20% of Workforce for AI: Why Wall Street No Longer Buys the Algorithm Excuse
In brief: Monday.com announced the dismissal of over 600 employees, representing 20% of its workforce, framing the decision around a restructuring toward an AI-first operating model. The company joins a list of more than 20 tech firms that have cited AI to justify layoffs in 2026. Financial data, however, reveals that stock markets are viewing these justifications with growing skepticism.
by Team Mocchi's
The announcement by work management software provider Monday.com has reignited debate over the true drivers behind tech industry workforce reductions. In an SEC filing, the company disclosed it is cutting roughly 600 roles, or 20% of its workforce, to foster a leaner, more focused operating model aimed at supporting its AI-driven growth strategy. Despite incurring between $45 million and $55 million in restructuring charges, Monday.com still projects up to 20% year-over-year revenue growth.
In a memo to staff, co-founder Eran Zinman emphasized that the decision was not aimed at directly replacing human workers with AI or reducing overall costs, but rather at aligning organizational structures with the company's AI vision. However, for investors and market analysts, that distinction is becoming increasingly thin.
The 2026 Toll: 140,000 Cuts and Wall Street's Skepticism
As highlighted in an analysis reported by TechCrunch, Monday.com's decision is part of a much broader trend across the tech sector. Since the beginning of 2026, U.S. tech companies have eliminated nearly 140,000 jobs. Nearly 50,000 of those cuts stem from industry giants including Amazon, Oracle, Meta, and Microsoft, which are simultaneously reallocating hundreds of billions of dollars toward AI data center infrastructure.
Crucially, market data indicates that Wall Street is unconvinced by the narrative. According to a Financial Times analysis cited by TechCrunch, companies that explicitly cite AI as a reason for workforce reductions have underperformed the Nasdaq index by nearly 10% in the 30 trading days following their announcements. Investors appear to view "AI restructuring" as a convenient shield for previous over-hiring or slowing organic growth.
SaaS Model Shifts and Talent Migration
The broader enterprise software and SaaS landscape is navigating a structural transition. Traditional seat-based pricing models are facing friction as generative systems and autonomous agents automate tasks once assigned to individual license holders. This pressure forces software vendors to recalibrate both product delivery models and internal cost structures.
At the same time, talent is migrating within the tech ecosystem rather than disappearing entirely. While incumbent software providers trim headcounts, AI-native organizations and foundation model labs like Anthropic and OpenAI continue to hire aggressively. Capital and talent are shifting away from conventional application layers toward core infrastructure, hardware efficiency, and specialized AI platforms.
Mocchi's take
When evaluating corporate restructurings tied to AI, it is essential to distinguish financial rhetoric from actual operational transformation. For companies building or integrating custom software solutions, the primary takeaway is the importance of driving efficiency without eroding internal domain expertise. AI adoption inside an organization should not serve as an excuse for blanket cost-cutting, but as a strategic tool to re-engineer business workflows and elevate human capability.