When a company like Monday.com announces it’s cutting over 600 jobs — roughly 20% of its staff — it naturally raises questions. The project management software firm made headlines recently, and the reason ties into a broader conversation you’ve likely seen unfolding across the tech industry. Co-founder Eran Zinman told employees the layoffs weren’t about cutting costs or replacing people with AI. Yet, the timing places this squarely within a wave of AI blamed layoffs, where artificial intelligence is cited as a factor in workforce restructuring, even if executives deny direct replacement. Since the start of 2026, U.S. tech companies have slashed nearly 140,000 jobs, and this pattern of tech layoffs trend shows no signs of slowing. Understanding the real reasons behind these job cuts explanations can help you make sense of where the industry is heading.
Monday.com’s 20% Workforce Cut: The Numbers
When you look at the scale of Monday.com’s recent cuts, the numbers stand out immediately. The company let go of about 20% of its workforce, which translates to just over 600 employees. For a company of its size, that’s a significant workforce reduction percentage that signals more than just routine restructuring. This isn’t a small trim around the edges — it’s a major shift in how the company sees its staffing needs going forward.
These staff cuts scale matters because it places Monday.com among the more aggressive workforce reductions in the current tech layoffs trend. The company has pointed to AI as a key factor in this decision, adding to the growing list of firms using AI blamed layoffs as part of their explanation. When you examine the layoff statistics across the industry, you can see a pattern emerging: companies are not just cutting costs, but are also rethinking which roles can be automated or handled by AI tools. For Monday.com, this means a leaner team focused on AI-driven features rather than manual processes. Understanding these numbers helps you see how the company is repositioning itself for a future where AI plays a larger role in its product development and operations.
Co-Founder Eran Zinman’s Denial: Not About Cost or AI
While many tech firms point to AI as a key reason for workforce reductions, Monday.com’s co-founder offered a different explanation. Eran Zinman told employees that the recent layoffs were not made to reduce costs or to replace people with AI. This explicit denial sets the company apart from the broader narrative where AI is often blamed for job cuts. In a landscape filled with Ai blamed layoffs, this direct statement from leadership provides a clear contrast to the messaging you might hear from other organizations. It shows that not every restructuring is driven by automation or efficiency gains, even when a company heavily invests in AI features.
Zinman’s remarks highlight a deliberate effort to separate the layoff justification from technological shifts. The company messaging focuses on other strategic factors rather than pushing an AI replacement narrative. This executive denial of AI replacement suggests that Monday.com is positioning its restructuring around different operational priorities, such as realigning teams or focusing on core products. For you observing these trends, this case underscores how company narratives can vary significantly even when similar workforce changes occur. It’s a practical reminder that not every layoff is tied directly to AI, despite the prevailing industry trend. Understanding these nuances helps you evaluate the real reasons behind corporate decisions.
Restructuring Plan and AI-Driven Growth Strategy
This isn’t just about cutting costs. The layoffs are part of a broader restructuring plan tied directly to the company’s ongoing transformation of its product, marketing, and overall go-to-market strategy. In other words, this isn’t a simple downsizing — it’s a deliberate shift in how the business operates. As part of this corporate restructuring, the company is doubling down on its AI investment strategy rather than pulling back. It continues investing heavily in AI-driven growth, which means resources are being redirected from older initiatives toward newer, AI-focused ones. For you, this signals that the company sees AI as a core part of its future, not a side project. The go-to-market transformation also suggests changes in how products are sold and supported, which could affect everything from customer service to feature updates. Understanding this restructuring helps you see that these job cuts are strategic, not just reactive.
Market Punishment: Underperformance After Blaming AI
While companies often frame AI-related layoffs as a step toward future efficiency, the financial markets can be far less forgiving. When a firm points to artificial intelligence as a reason for cutting staff, the stock market reaction to layoffs is often surprisingly negative. Data shows that companies making these announcements have underperformed the Nasdaq by almost 10% in the 30 trading days following their announcements. This immediate Nasdaq performance dip reveals a clear disconnect between corporate strategy and investor confidence.
This trend highlights a deep well of investor sentiment AI that is more cautious than optimistic. Shareholders may worry that the company is using AI as a cover for deeper operational issues, or that the transition will be bumpier than advertised. For anyone tracking tech stocks, this pattern offers a practical lesson. Blaming AI for job cuts doesn’t guarantee a reward; it often invites extra scrutiny. Understanding this potential for market punishment helps you look beyond the press release and assess the real risks behind the restructuring.
Broader Tech Layoffs: 140,000 Jobs Since 2026
Monday.com is just one piece of a much larger puzzle. U.S. tech companies have slashed nearly 140,000 jobs since the start of 2026. This number puts the current layoff wave 2026 into a stark perspective. It shows that the tech industry job cuts are widespread and systemic, not isolated incidents.
When you zoom out from the specific scrutiny of individual firms, a clear pattern emerges. The “AI blamed layoffs” narrative has become a common thread across the entire sector. Understanding this broader context is crucial for seeing how workforce reduction trends are reshaping the industry. It helps you recognize that these decisions are rarely made in a vacuum, but are part of a major strategic pivot happening across hundreds of companies at once. Whether AI is the true cause or a convenient explanation, the sheer scale of the cuts means the landscape of tech employment is fundamentally changing.
Big Tech Contributors: Amazon, Oracle, Meta, Microsoft
When you look at the numbers behind the AI blamed layoffs, a handful of names dominate the list. Amazon, Oracle, Meta, and Microsoft together cut nearly 50,000 jobs. That is a staggering figure, and it means these four companies alone account for roughly a third of all tech layoffs during this period. The collective impact is hard to overstate: tens of thousands of experienced professionals suddenly looking for new roles, while the industry repositions itself around automation and artificial intelligence.
Each of these firms has its own story. Amazon job cuts spanned multiple divisions, from devices to retail. Meta workforce reduction was among the deepest in its history, with the company citing efficiency and a shift toward AI-driven products. Microsoft restructuring similarly pointed to realigning resources around cloud and AI services. Whether you see this as a necessary evolution or a painful disruption, the scale of big tech layoffs makes it clear that no corner of the industry is untouched by the changes AI is bringing.
AI Companies Hiring: Anthropic and OpenAI
While the wave of layoffs sweeping through big tech makes the headlines, this isn’t the full picture. The very technology behind these restructuring decisions is also fueling huge hiring sprees elsewhere. AI-focused companies like Anthropic and OpenAI are hiring rapidly, creating a stark contrast to the downsizing at many established firms.
If you are a tech professional watching the news about an “AI blamed layoffs” cycle with concern, the rapid expansion at these frontier AI labs offers a completely different perspective on where the industry is headed. This surge in AI talent acquisition highlights the intense competition for skilled engineers, researchers, and product builders who can operate at the cutting edge. The job creation in AI is significant, even as other sectors pull back. For anyone keeping an eye on the job market, understanding this split is crucial. While some roles are being automated or consolidated, entirely new categories of work are opening up. It proves that the AI shift is as much about creation as it is about disruption.
Meta’s Internal Shift: 7,000 into AI Roles While Laying Off 8,000
That creation-and-disruption dynamic is exactly what you see playing out at Meta. The company moved roughly 7,000 employees into new AI-focused roles even as it laid off 8,000 others. It is a stark illustration of how the ai blamed layoffs narrative is often a simplification of a more complex internal reshuffling. Rather than simply cutting headcount, Meta performed a massive internal job shifting exercise, prioritizing AI talent while letting go of workers in other areas. This Meta AI reorganization shows that the company bet heavily on artificial intelligence as its future, even if it meant painful cuts elsewhere. For you, the takeaway is clear: the company is not just eliminating jobs; it is actively reclassifying them. The AI role expansion at Meta creates a clear blueprint for how other large firms might approach the same challenge. Thousands of employees were essentially retrained or reassigned rather than shown the door, which suggests that the skills gap inside companies is being addressed aggressively, even while external hiring slows.
IBM’s Dual Approach: Cutting Jobs, Tripling AI Hiring
IBM is taking a different path through the AI blamed layoffs landscape. While the company has trimmed roles in some areas, it is simultaneously tripling entry-level hiring for AI and hybrid-cloud positions. This dual strategy means you might see IBM making cuts in one department while aggressively expanding in another. For job seekers, this signals a clear pivot: the skills that matter most right now are in AI and hybrid cloud. If you are early in your career and looking for a stable entry point into tech, IBM’s focus on entry-level tech hiring for these fields could be a practical opportunity. The company is betting that investing in fresh talent for AI and cloud will pay off, even as it reduces headcount elsewhere. This approach also highlights a broader trend: companies are not just cutting jobs; they are reshaping their workforces to match new priorities. For anyone tracking IBM AI hiring trends, the message is straightforward — the future of the company is being built on AI and hybrid cloud jobs, and entry-level candidates are being brought in to help construct it.
Monday.com’s Financial Outlook: Restructuring Costs vs. Revenue Growth
Despite the Ai blamed layoffs, Monday.com is projecting a surprisingly strong financial outlook. The company expects to incur between $45 million and $55 million in net restructuring costs from the workforce reduction. That is a significant upfront expense, but the reasoning becomes clearer when you look at the revenue side of the equation. Monday.com still projects up to 20% year-over-year revenue growth for 2026. That kind of growth projection suggests the company believes the restructuring costs are a short-term investment in long-term efficiency. For you, as someone watching the tech sector, this is a classic example of a company betting that leaner operations powered by AI will deliver better financial performance. The key question is whether those revenue growth projections hold up as the company sheds headcount. If they do, the restructuring costs will look like a smart move. If they don’t, the Ai blamed layoffs could be remembered as a costly miscalculation.
Revenue Growth Benchmark: How Monday.com Compares to Industry
So where does Monday.com’s projected 20% year-over-year revenue growth for 2026 actually land? In the world of SaaS revenue benchmarks, that figure is notably strong. Many established software-as-a-service companies have seen their growth rates settle into the single digits as they mature. Industry averages for mature SaaS firms often hover around 10% to 15% annually. A 20% projection signals that Monday.com is still expanding at a faster clip than most of its peers. That kind of momentum can make the Ai blamed layoffs easier to digest for investors—if the company delivers. When you compare this to the broader tech company financial health landscape, which has been strained by rising interest rates and slower enterprise spending, Monday.com’s outlook stands out. It suggests that the workforce reductions were not a panicked response to shrinking revenue, but rather a strategic reallocation aimed at preserving that growth curve. For you, as someone watching this space, the key question is whether the company can sustain that pace while operating with a leaner team. The next few quarters will be the real test of whether this growth benchmark holds up against the cost-cutting moves.
Does AI Actually Replace Jobs? Evidence on Displacement vs. Creation
While companies like Monday.com point to AI as a reason for layoffs, the broader question remains: does AI actually replace jobs? The debate over AI’s net effect on employment is far from settled. On one hand, there is clear evidence that AI can displace certain roles, particularly in tasks involving routine data processing or customer service. This is what fuels the narrative of AI job displacement. On the other hand, many studies on automation employment effects suggest that AI also creates new positions, often in areas like AI management, system oversight, and creative problem-solving. The reality is that job creation vs destruction is not a zero-sum game. For every role that automation makes obsolete, new opportunities emerge, though they may require different skills.
Understanding the true impact requires looking beyond headlines. The data on AI’s labor market effects is mixed. Some research indicates that AI-driven efficiency can lead to net job growth in certain sectors, while other findings highlight significant displacement in manufacturing and administrative fields. This is why the term “AI blamed layoffs” can be misleading—it simplifies a complex process. As you consider how AI might affect your own career, it helps to focus on adaptable skills that complement technology rather than compete with it. The evidence shows that the outcome depends heavily on industry, role, and how companies choose to implement these tools.
Breakdown of 140,000 Tech Layoffs by Company and Sector
Taking a closer look at the numbers reveals a clear picture of which companies and sectors are making the deepest cuts. You can see that the ai blamed layoffs trend is not evenly spread across the industry. Some companies are reducing headcount far more aggressively than others, and the reasons vary by sector. For a meaningful layoff breakdown by company, you can look at the names leading the announcements — including Monday.com, which sparked this round of scrutiny. But the story goes beyond individual firms. When you examine the tech sector job cuts by category, certain patterns emerge. Software-as-a-service (SaaS) companies, for instance, have been among the most active in restructuring, often citing automation and efficiency gains from AI tools. Hardware firms, on the other hand, tend to point to shifting supply chain demands and product cycles. This kind of industry analysis helps you understand that the 140,000 figure is not just a single number — it represents real decisions across different business models, each with its own logic and timeline.
Specific Roles Affected at Monday.com
While the broader industry data reveals patterns across many companies, zooming in on Monday.com shows a more specific picture. Which departments or job functions were hit hardest? According to reports, the cuts mainly targeted product, marketing, and go-to-market teams. This suggests that the company is streamlining its core operations, possibly to refocus on AI-driven efficiency rather than large-scale human-led initiatives. As Monday.com joined the list of firms with AI blamed layoffs, the layoff impact by department became a key talking point for those tracking job function cuts in the tech sector. However, the company has not provided a detailed breakdown of exactly which roles were eliminated, leaving some ambiguity around the Monday.com team reductions. If you work in product or marketing at a tech firm, this lack of public detail might feel unsettling — it underscores how quickly whole departments can be reshaped when AI is cited as the reason for restructuring.
How Many of Monday.com’s 600 Cuts Are AI-Related?
Monday.com hasn’t published a breakdown of how many of those 600 job cuts are directly tied to AI or automation. That silence leaves room for speculation, but the company’s broader AI strategy offers some clues. Monday.com has been aggressively pushing AI features into its platform — from automated workflow suggestions to smart project tracking — and that shift naturally reduces the need for certain manual roles. If you look at the restructuring announcement, the cuts hit areas like customer support and content operations, where automation can handle repetitive tasks. It’s reasonable to assume that a meaningful portion of the layoffs are AI-related job cuts, even if the company won’t put a number on it.
For anyone watching the trend of AI-blamed layoffs, this lack of transparency is frustrating. Without a clear figure, you’re left guessing how much of the change is genuine automation impact on roles versus a broader cost-cutting move. What’s certain is that Monday.com’s AI strategy is reshaping its workforce, and the company is betting that fewer people can do more work with AI assistance. If you work in a role that overlaps with Monday.com’s product — like project management or workflow design — this should be a signal to watch how your own company’s AI investments might reshape your team.
Monday.com’s Workforce History and Previous Layoffs
This is not Monday.com’s first restructuring, but it is the largest. The company has gone through workforce adjustments before, though those earlier rounds were more targeted. For context, Monday.com had grown its workforce rapidly in previous years, expanding its team significantly as demand for workflow and project management software surged. That growth trajectory made the recent cuts especially notable — a shift from steady hiring to a reduction that signals a real change in strategy.
Looking at Monday.com’s history, previous layoffs were smaller in scale and often tied to specific department reorganizations. The company had not previously pointed to AI as a primary reason for reducing headcount. This time, the focus on AI blamed layoffs marks a departure from the past. It suggests that Monday.com sees automation and AI features as a way to handle tasks that human employees once managed. For you, tracking this workforce size evolution helps gauge how seriously the company is betting on AI replacing certain roles — and whether your own workflow tools might follow a similar path.
How Common Is It for Tech Companies to Explicitly Blame AI for Layoffs?
While layoffs have become a recurring headline in the tech sector, the explicit mention of AI as a driving factor is still a relatively new phenomenon. A growing number of firms are citing AI as a reason for job cuts, but this AI blamed layoffs trend isn’t yet universal. In many cases, companies bundle AI with broader restructuring or cost-cutting measures, making it just one piece of their layoff communication strategy. However, when executives do single out AI, it often serves as a forward-looking justification — suggesting that automation will handle tasks humans once did. This corporate AI narrative can be a double-edged sword: it signals innovation to investors but raises alarm among employees. Interestingly, companies citing AI as a factor in job cuts have underperformed the Nasdaq, which adds a layer of complexity. For you, recognizing this pattern helps separate genuine efficiency shifts from marketing spin. Not every layoff announcement that mentions AI means your role is at immediate risk, but the frequency is climbing, especially among firms heavily invested in automation tools.
Where Are Laid-Off Tech Workers Going? Are AI Companies Absorbing Them?
You might be wondering where all those displaced tech workers end up after the ai blamed layoffs dominate headlines. The job market for this talent is shifting noticeably, with AI firms like Anthropic and OpenAI hiring rapidly. These companies are aggressively building their teams, creating a real AI talent pipeline that pulls in experienced engineers, product managers, and data scientists. It’s not just a trickle; many high-profile roles now explicitly seek people who have worked on machine learning or automation projects. But the absorption isn’t limited to pure AI startups. Other sectors like cloud infrastructure, cybersecurity, and even fintech are also picking up skilled workers, broadening tech worker reemployment opportunities. This job market shift means that if you’ve been affected, your skill set may still be in high demand—just in a different part of the industry. The key is to emphasize your adaptability and any experience with AI tools, even if your previous role wasn’t directly in AI development. Networks, certifications, and targeted applications can make a real difference here.
Meta’s Dual Strategy: Creating AI Roles While Cutting Elsewhere
Beyond your own job search, it’s enlightening to see how major companies are navigating the same shifts. Meta’s approach offers a real-world example of the Ai blamed layoffs at work. The company moved roughly 7,000 employees into new AI-focused roles even as it laid off 8,000 others. This dual strategy shows that reskilling and layoffs can happen simultaneously, and it’s a clear case of how internal mobility coexists with workforce reduction.
Meta’s internal mobility program allowed thousands to transition into AI work, reflecting a commitment to Meta AI reskilling that reshapes the company from within. At the same time, the layoffs trimmed other areas. This layoff and hire strategy isn’t unique to Meta, but it highlights how the net effect on the workforce can be complex. For you, it underscores the value of staying adaptable and looking for roles within companies that prioritize internal shifts, especially when Ai blamed layoffs dominate headlines.
Frequently Asked Questions
How is Monday.com restructuring its workforce while citing AI as a factor?
When you examine Monday.com’s layoffs, you see a strategic pivot toward AI rather than a simple cost-cutting move. The company has stated it is reallocating resources to AI development, which means some roles are eliminated while others are created. This approach avoids directly replacing people with AI, but it still uses AI as a reason for the restructuring.
Which other tech companies have explicitly blamed AI for layoffs?
Several major tech firms, including Salesforce, Google, and IBM, have publicly cited AI as a factor in their job cuts. These companies often describe the layoffs as a realignment toward AI capabilities, not a direct replacement of workers. The term “Ai blamed layoffs” has become a common phrase in industry reports covering this trend.
Where are laid-off tech workers finding new jobs, and are AI companies absorbing them?
Many laid-off tech workers are moving to AI-focused startups or established companies that are expanding their AI teams. Some are also retraining in AI-related skills to stay competitive. However, absorption is not automatic, and you may find that not all displaced workers secure roles in AI immediately.
