The pattern is becoming impossible to ignore. Monday.com is only the latest name on a growing list of companies that have publicly cited AI as a reason for significant layoffs this year. The running tally now includes more than twenty major tech firms, each one offering a variation on the same theme: we are restructuring, and artificial intelligence is a stated factor. On the surface, this sounds like a rational business decision. Dig a little deeper, and it starts to look like something else entirely: a convenient explanation that obscures more than it reveals.
We should be honest about what is happening here. When a company says AI is behind its layoffs, it is making a choice about how to frame a difficult story. It is not necessarily a lie, but it is rarely the whole truth. The technology is advancing quickly, no question. Yet the decision to reduce headcount is still a human one, made by leaders who are choosing efficiency and shareholder returns over other priorities. Blaming AI, even partially, gives those decisions an air of inevitability. It suggests that this is simply the cost of progress, and that the workers being let go are collateral damage in a necessary transformation. That framing deserves more scrutiny than it typically receives.
This is where the conversation gets personal for anyone who works with data, spreadsheets, or software on a daily basis. The anxiety is understandable. If a company like Monday.com is willing to point at AI as a reason for layoffs, what does that mean for the rest of us? It is easy to read these headlines and wonder if your own role is next. But here is the thing we keep circling back to in our coverage: the human element is not obsolete. As we explored in Talking to My AI Clone Taught Me to Question the Tech, interacting with an AI that mimics a person raises more questions than it answers. It reminds us that the technology is a tool, not a replacement for judgment, context, or accountability. Similarly, Navigating AI/ML Job Requirements: A Shift in Expected Skills shows that the job market is not shrinking; it is changing shape. The roles that are growing demand a blend of technical fluency and software engineering fundamentals. The bar is shifting, not disappearing.
So what should you take from this? For starters, stop treating every corporate announcement as a neutral statement of fact. When a company says AI is the reason for layoffs, ask what it is not saying. Is this about long-term strategy, or is it a short-term move to appease investors? The distinction matters. More importantly, focus on what you can control. The professionals who will thrive are the ones who treat AI as an accelerant to their existing skills, not as a substitute for them. We also touched on this in Verify Your AI's Understanding: A Simple Check for Tax Season, where the point was not to reject the technology but to test it, question it, and understand its limits.
The real question is not whether AI will disrupt the workforce. It already is. The question is how much responsibility companies will take for the disruption they choose to create. Watch for the next earnings call where a CEO praises AI's potential while announcing another round of cuts. That is the moment where the story is really being told. The takeaway is simple: do not let a corporate press release determine your value or your future. The technology may be advancing, but the decision to blame it is still a choice.