AI Economy
Monday.com joins a growing list of tech firms crediting AI for headcount reductions — but the data tells a more complicated story.
NewsOnScale Staff
July 26, 2026
Monday.com became the latest technology company this week to cite artificial intelligence as a primary justification for laying off workers, joining what is now a roster of more than twenty firms that have deployed some version of the same explanation over the past eighteen months. The messaging has become so consistent — so polished — that it warrants treating it as a phenomenon in its own right, separate from any individual company's balance sheet.
The pattern is straightforward: a company announces layoffs, an executive references AI-driven productivity gains in the same breath, and the narrative frames displacement not as a business failure or a cost-cutting maneuver driven by investor pressure, but as an inevitable, even optimistic, technological transition. Workers lose jobs. Stock prices frequently rise. The story moves on.
## What 'AI Efficiency' Actually Means
When companies say AI is allowing them to do more with fewer people, they are making a claim that sounds empirical but is rarely substantiated with public evidence. Which workflows were automated? What percentage of eliminated roles were genuinely replaced by AI tools versus restructured for other financial reasons? How many of those tools were already in use before the layoff decision was made internally?
These questions almost never get answered in press releases or earnings calls, and journalists rarely have the access to verify them. What we do know, from labor economists and from the internal communications that occasionally surface in litigation or leaks, is that headcount reduction decisions typically precede the deployment of AI tools — not the other way around. The technology becomes the explanation after the spreadsheet has already been signed off.
That doesn't mean AI automation has zero impact on employment. It does. But conflating genuine automation with financially motivated restructuring obscures accountability in ways that matter — to the workers affected, to policymakers designing labor protections, and to the public trying to understand what the AI economy actually looks like at ground level.
## The Accountability Gap
There is currently no standard, no regulation, and no meaningful market incentive requiring companies to disclose the specific relationship between AI adoption and workforce decisions. A company can lay off two hundred people, mention AI in the same paragraph, and face no obligation to demonstrate causation. This is a transparency problem that sits at the exact intersection of corporate governance and emerging technology — and it is almost entirely unaddressed.
The European Union's AI Act includes some provisions around high-risk AI systems in employment contexts, but enforcement mechanisms are nascent and the scope is narrow. In the United States, there is no equivalent framework. The Worker Adjustment and Retraining Notification Act, which requires advance notice for large layoffs, was written decades before generative AI existed and does not contemplate algorithmic decision-making as a disclosure category.
## Why the Framing Matters
The consistent use of AI as a layoff rationale is not merely a PR strategy. It shapes how the public understands the technology, how workers contextualize their own displacement, and how policymakers prioritize legislative responses. If AI is cast as an inevitable natural force — something companies are simply responding to, rather than deploying as part of deliberate choices — it becomes much harder to argue for the guardrails, transition support, or corporate accountability that displaced workers might otherwise demand.
Monday.com is not uniquely culpable here. The company is operating inside a broader narrative infrastructure that the tech industry has built carefully over several years. But that infrastructure deserves to be named and examined, rather than reported on as though each individual announcement exists in isolation.
The question worth asking every time a company cites AI in a layoff announcement is simple: show your work. Until there is pressure — regulatory, journalistic, or market-driven — to actually do that, 'AI made us do it' will remain one of the most cost-free explanations available to a cost-cutting executive.