Wall Street Isn't Buying the AI Layoff Excuses Either

For the past month I have been cataloguing the AI layoff excuse with the grim dedication of a lepidopterist pinning moths to a board. Cognizant. Cloudflare. Cisco. Block. Penn Entertainment. Meta. Each announcement wrapped redundancies in the language of technological inevitability, as though firing people were a form of progress. The implicit sales pitch was always the same: 'Trust us, this will make the share price go up.' Well, here comes CNBC with a bucket of cold data.

Their analysis of 23 companies that explicitly tied job cuts to AI investments found that 13 — 56 percent — saw their share price decline following the announcement, by an average of 25 percent. The remaining ten rose, but the overall average was a net drop. This is not a minor quibble. It is a demolition of the central claim executives have been using to justify mass redundancies. If the market does not reward the AI layoff story, what exactly is the point — besides the obvious one of cutting costs and hoping nobody notices?

Let us pause to savour the irony. For months we have watched CEOs deploy the word 'AI' as a sort of managerial garlic, warding off questions about profitability, strategy and basic human decency. The message was: we are modern, we are efficient, we are doing what the future demands. But the market, that notoriously unsentimental calculator, is not impressed. It seems to have noticed what I have been saying for weeks: that 'AI-driven restructuring' is almost always code for 'we need to reduce headcount and we want to sound cutting-edge while we do it.'

Why might stocks fall? Possibly because investors recognise that layoffs often signal a company in distress, not one undergoing glorious transformation. Possibly because a 25 percent average decline suggests the market is pricing in the disruption without believing in the payoff. Or perhaps — and this is the truly delicious possibility — the market simply does not trust the AI narrative. If a CEO says 'we are laying off 1,100 people because of agentic AI,' and the stock drops, the message being sent is clear: we don't believe you.

This is not to say every AI-linked layoff is punished. Ten companies did see their shares rise, and the CNBC piece does not name them. One suspects those are the firms where the cuts were small, the narrative credible, or the underlying business genuinely thriving. But the aggregate picture is damning. The blanket assumption that AI layoffs are good for shareholder value has been tested and found wanting. That should give pause to every executive currently drafting a press release that begins 'As part of our commitment to AI-led transformation…'

Of course, it won't. The whole point of the AI excuse is that it works on a different audience: not the stock market, but the broader public, the media, the employees themselves. It provides a respectable rationale for what is often just old-fashioned cost-cutting. Executives can say they are not firing people because of a bad quarter or a failed strategy; they are firing them because of the glorious robot future. The market may not buy it, but the PR department does, and so do the board members who want to sound visionary.

Two weeks ago I wrote that the AI layoff excuse had become a corporate standard. Now we know it is not even a successful one. The numbers are in: blaming AI for job cuts is, on average, a losing bet for your share price. Perhaps the next time a CEO stands before a camera and invokes the 'agentic AI era' to justify redundancies, a reporter might ask: 'And how did that work out for the other 56 percent?' The answer, according to CNBC, is not well. But I won't hold my breath for that question. The excuse is too convenient, the euphemism too useful, and the market, for all its cold logic, has never been great at calling out bullshit in real time.