Highlights

Monday.com, the Tel Aviv–based work-management firm, recently announced layoffs impacting roughly 20% of its workforce as part of a restructuring tied to its AI-focused strategy. Many large tech firms have similarly pointed to AI or AI-related reorganizations while also continuing to invest heavily in AI infrastructure. Not all job cuts mean permanent disappearance of roles; in some cases headcount is being redirected into new AI-centered positions or absorbed by rapidly growing AI-focused companies.

Sentiment Analysis

• The tone across company announcements is mixed: firms present layoffs as strategic realignment toward AI while attempting to reassure stakeholders that cuts are not solely cost-driven. Public reactions and market responses vary, with the Financial Times finding that companies citing AI for cuts tend to underperform the Nasdaq in the month after their announcements.
  60%
  The 60% width reflects a predominantly mixed sentiment — skepticism about corporate messaging combined with acceptance that AI is reshaping labor needs.

Article Text

Monday.com, known for its colorful project-tracking boards, announced a significant workforce reduction this week, saying an SEC filing that about 20% of employees — just over 600 people — will be let go as part of a restructuring tied to product, marketing, and go-to-market changes that support an "AI-driven growth strategy." Company leadership framed the move as part of an ongoing transformation rather than a simple cost-cutting exercise. The co-founder’s internal memo emphasized that the decision was about aligning the organization with an AI-first vision, not about replacing people with machines.

This announcement adds Monday.com to a growing list of major tech firms that have attributed recent layoffs or reorganizations at least partly to AI. According to an analysis by the Financial Times, nearly 140,000 U.S. tech jobs have been cut since the start of the year, with companies such as Amazon, Oracle, Meta, and Microsoft responsible for a significant share of those reductions as they simultaneously funnel massive investments into AI data centers and capabilities. That contrast — heavy investment in AI infrastructure alongside headcount reductions — is a recurring theme in corporate statements.

Market reaction to these announcements is not uniformly favorable. The FT found that companies citing AI as a factor in layoffs have tended to underperform the Nasdaq in the 30 trading days after announcements, indicating investor skepticism about corporate narratives. Still, the employment picture is not uniformly negative: AI-focused companies and new AI teams within existing firms are hiring aggressively. Organizations such as Anthropic and OpenAI are expanding quickly, and several larger companies report shifting personnel into AI roles even as they eliminate positions elsewhere.

For example, Meta’s recent moves illustrate this rebalancing: while it cut roughly 8,000 roles, the company also redeployed about 7,000 people into AI-focused jobs. IBM has reported reducing headcount in some areas while increasing entry-level hiring for AI and hybrid-cloud roles. These examples show that many changes represent a reallocation of talent toward functions deemed critical for AI development and deployment, rather than an outright disappearance of workers across the board.

Specific cases across the industry highlight the range of approaches. Microsoft cut around 4,800 roles earlier in the year, primarily in Xbox, and emphasized that AI is changing how work gets done without directly replacing all affected roles. Oracle reported tens of thousands of job reductions over a 12-month period and explicitly linked AI adoption to workforce changes in regulatory filings. GitLab and Cloudflare have both reduced staff while stating the need to invest in AI infrastructure and scale for AI-driven workloads. Other firms, including Intuit, Snap, Coinbase, PayPal, Cisco, and Dell, have similarly combined public commitments to AI with workforce restructuring.

Companies have often framed their decisions as efforts to simplify structures, remove layers, and realign resources toward areas such as AI, security, and specialized hardware. Some announcements stressed that AI helps remove repetitive tasks and increase velocity, while others highlighted organizational realignment and the need for different skill mixes. A recurring emphasis is that AI changes the mix of roles and skills required, prompting firms to hire aggressively in AI-specialized positions even as they reduce headcount elsewhere.

At the same time, skeptics point to the uneven communications and market responses: when companies claim AI is the driver of layoffs, investors sometimes react negatively, suggesting doubt about whether AI is the full explanation or a convenient rationale for broader cost or strategic decisions. The net effect is a labor market in flux: while certain routine or middle-management roles appear more exposed to reductions, demand is rising for cloud, data, AI engineering, and research talent. The result is a geographic and sectoral shift of talent rather than a straightforward net loss in all cases.

Overall, the wave of AI-linked reorganizations reflects a broader industry transition. Some companies are shrinking and refocusing, others are rapidly scaling AI teams, and yet others are blending both strategies by redeploying employees into AI work. The pattern suggests that as AI becomes more central to product road maps and operational plans, firms will continue reassessing headcount, skills, and structures. Observers should watch not only headline layoff numbers but also redeployment rates, hiring trends at AI-native firms, and the long-term impact on job types and career paths within technology.

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