
600 Jobs Gone at Monday.com as Wave of AI-Justified Cuts Sweeps 140,000 From Tech Sector
Key takeaways
- Monday.com is cutting 600 employees (20% of staff) in an AI-driven restructuring, still projecting up to 20% revenue growth for 2026.
- U.S. tech layoffs have exceeded 140,000 so far this year, with Amazon, Oracle, Meta, and Microsoft accounting for nearly 50,000 cuts alone.
- Companies citing AI as a layoff factor have underperformed the Nasdaq by nearly 10% in the 30 days following announcements, signaling market skepticism.
Tel Aviv-based Monday.com, best known for its vibrant, drag-and-drop project management platform, filed notice with the SEC this week that it plans to cut approximately 600 employees — a reduction of around 20% of its total workforce. The company framed the decision as part of a broader restructuring tied to what it described as an 'AI-driven growth strategy,' signaling a pivot toward a leaner operational structure built around artificial intelligence. The restructuring is expected to generate between $45 million and $55 million in net charges, though Monday.com still projects year-over-year revenue growth of up to 20% for 2026.
Co-founder Eran Zinman moved quickly to address concerns from employees, writing in a LinkedIn memo that the layoffs were 'not made to reduce costs or replace people with AI.' Instead, he positioned the cuts as an organizational realignment consistent with an AI-first vision the company announced roughly a year ago when it undertook a platform-wide rebrand. Critics, however, note the distinction between cost reduction and AI transformation may be more rhetorical than real when hundreds of jobs disappear regardless of the stated rationale.
Monday.com's announcement lands in the middle of a much larger industry reckoning. According to new analysis by the Financial Times, U.S. tech companies have collectively cut nearly 140,000 jobs since January, with Amazon, Oracle, Meta, and Microsoft alone responsible for close to 50,000 of those eliminations. These same companies are simultaneously pouring hundreds of billions of dollars into AI data center infrastructure, making the layoffs appear less like belt-tightening and more like a deliberate reallocation of human capital toward machine-driven systems.
The companies doing the cutting span industries and business models. Oracle disclosed a 21,000-person reduction — 13% of its workforce — over the past year, directly attributing part of the decline to AI adoption. GitLab shed 14% of staff to fund AI infrastructure investment while simultaneously exiting 22 countries. Cloudflare cut 20% of headcount despite reporting its highest quarterly revenue ever, with CEO Matthew Prince describing the dismissed workers largely as middle managers and internal auditors. Meta laid off 8,000 employees while reassigning 7,000 others to AI-focused roles. Cisco, Intuit, Coinbase, and PayPal each cited AI transformation as a central driver behind their own significant workforce reductions.
Not every data point points in the same direction. The FT's analysis found that companies explicitly naming AI as a layoff factor have underperformed the Nasdaq by nearly 10% in the 30 trading days following their announcements — a signal that markets may not be fully buying the AI transformation narrative. At the same time, AI-native firms like Anthropic and OpenAI are actively hiring, and companies like IBM report tripling entry-level recruitment for AI and hybrid-cloud roles. The workforce disruption, in other words, is real and substantial, but the landing zone for displaced workers remains deeply uneven.
The bigger picture
What's happening across the tech sector right now represents something more consequential than a typical business cycle correction. Companies are not cutting staff because demand has dried up — many are reporting record revenues — they are cutting because AI tooling is genuinely compressing the labor required to deliver equivalent or superior output. Monday.com's story is instructive precisely because the company still expects double-digit revenue growth. The math isn't about survival; it's about margin expansion and competitive positioning in a world where AI is increasingly a table-stakes capability rather than a differentiator.
The Financial Times statistic about underperformance deserves more attention than it's getting. When companies that frame layoffs as AI pivots subsequently lag the Nasdaq by 10% over the following month, that's the market registering doubt — either about execution risk, cultural disruption, or the credibility of the AI narrative itself. Investors have seen enough enterprise software vendors staple 'AI' onto press releases to know the difference between genuine transformation and rebrand theater. The companies that can demonstrate concrete productivity gains from these restructurings will be rewarded; those that can't will face uncomfortable questions about what exactly those 600, or 4,000, or 21,000 departures actually bought them.
For workers, the picture emerging from these announcements is one of significant structural displacement with uncertain upside. Meta's experiment of reassigning 7,000 people into AI roles while simultaneously eliminating 8,000 others is telling — even inside the most AI-aggressive organizations, the transition is not seamless or universal. The talent absorbed by Anthropic and OpenAI represents a fraction of total displaced workers. Readers should watch whether wage data begins to reflect a two-tier tech labor market: premium compensation for those who can build and manage AI systems, stagnant or declining prospects for everyone else.
We've been tracking the AI-justification trend in tech layoffs for several months here at LagPing, and we think Monday.com's announcement represents a useful moment to zoom out and look at the full picture that's been forming across the industry. What makes this story worth covering right now — beyond the raw job numbers — is the emerging tension between what companies say publicly and what market data actually shows. The FT's finding that AI-blamed layoffs correlate with Nasdaq underperformance is the kind of signal that tends to get buried in individual company announcements but becomes much more meaningful when aggregated. We also want to be honest that this story sits at the intersection of our AI and technology coverage in a way that directly affects real people's livelihoods, not just product roadmaps. That matters to us editorially. The Monday.com story will likely not be the last one we write this year, and we'll keep connecting these dots as the data accumulates.
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