In February 2026, CNBC reporters with zero coding experience opened Anthropic's Claude Code, described what they wanted, and built a working replacement for Monday.com's core product in under an hour. Total cost: less than $15. The demonstration went viral across enterprise software circles, and it landed at the worst possible moment for a company whose entire business model depends on charging per seat for exactly the kind of software a novice had just recreated for pocket change.

Five months later, on July 22, 2026, Monday.com disclosed in an SEC filing that it would lay off roughly 630 employees, about 20% of its 3,000-person workforce, with roughly 350 of those cuts hitting its Tel Aviv headquarters. Cofounder Eran Zinman framed the decision in a LinkedIn memo to employees as forward-looking rather than defensive, writing that the move was not made to reduce costs or replace people with AI, and describing internal AI adoption as an accelerator of growth rather than a threat to headcount.

The Memo That Says One Thing While the Filing Says Another

That framing is worth sitting with carefully, because the surrounding numbers tell a more complicated story. Monday.com expects to incur between $45 million and $55 million in net restructuring charges tied to these cuts, even as the company still projects up to 20% year-over-year revenue growth for 2026. Those two figures together, meaningful cost savings from reduced headcount alongside continued strong revenue growth, are exactly what margin improvement looks like on a balance sheet, regardless of how the reduction gets described in an internal memo.

Deutsche Bank analysts anticipated this exact pattern back in January, predicting that AI redundancy washing would become a defining feature of 2026 corporate messaging: companies attributing layoffs to strategic AI repositioning rather than straightforward cost-cutting, even when the practical effect on payroll looks identical either way.

The $15 Demo That Haunted This Company for Five Months

What makes Monday.com's case different from a generic AI-linked layoff story is the specificity of the threat it demonstrates. The CNBC experiment wasn't a hypothetical warning about AI eventually disrupting software companies somewhere down the road. It was a live proof of concept, built by people with no technical background, replicating the functional core of a publicly traded company's flagship product in under 60 minutes.

That demonstration accelerated a stock selloff that was already underway. Monday.com shares are down more than 50% year-to-date in 2026, and roughly 75% from their 52-week high. Unlike some companies citing AI as a factor in job cuts while simultaneously posting record profits and untouched stock prices, Monday.com's business has faced a genuinely documented and market-validated threat from the very technology it's now betting its future on integrating more deeply.

A Trend With Real Numbers Behind It

Monday.com isn't an isolated case. Artificial intelligence has been the leading stated reason for US job cuts for four consecutive months running in 2026, a streak with no clear precedent in outplacement industry records. Through June, AI was cited as a factor in 101,743 US layoff announcements, roughly 23% of every job cut tracked across the entire economy by the outplacement firm Challenger, Gray & Christmas.

The pattern extends well beyond software. According to Financial Times analysis, nearly 140,000 tech jobs have been eliminated in the US since the start of 2026, with Amazon, Oracle, Meta, and Microsoft alone accounting for almost 50,000 of those cuts as they redirect hundreds of billions of dollars toward AI infrastructure spending instead. Oracle disclosed a 13% workforce reduction, roughly 21,000 employees over twelve months, in a June filing explicitly tying the cuts to AI adoption across its operations. GitLab cut about 350 positions, 14% of its staff, in early June to fund AI infrastructure investment, with CEO Bill Staples describing agentic workloads as pushing competitors to the brink.

Why Investors Aren't Fully Buying the Framing

Here's the detail that complicates the "this is strategic, not cost-cutting" narrative most decisively: the Financial Times found that companies citing AI as a factor in job cuts have actually underperformed the Nasdaq by nearly 10% in the 30 trading days following their announcements. If investors genuinely believed these layoffs represented confident strategic repositioning toward a stronger AI-native future, that skepticism gap shouldn't exist. Instead, markets appear to be reading these announcements with real suspicion, treating "AI-driven restructuring" as often functionally indistinguishable from ordinary cost-cutting dressed in more fundable language.

Microsoft's own July layoffs, roughly 4,800 roles cut on July 9, mostly concentrated in its Xbox gaming division, followed a similar pattern: the company said the eliminated roles weren't being directly replaced by AI, while CFO Amy Hood acknowledged that total headcount was expected to keep declining as the company focused on operating with what she called pace and agility amid rising AI investment. The language varies company to company. The underlying arithmetic, fewer employees plus more AI infrastructure spending, doesn't.

What This Says About Software Built on Seats

The deeper story sitting underneath Monday.com's specific numbers is a structural one facing the entire category of per-seat software businesses. Monday.com's product, like much of the enterprise software industry, has historically charged based on how many human employees use the platform. If AI agents can increasingly do the tasks those human seats were purchased to support, the per-seat pricing model itself starts to look fragile, independent of whether any individual company's leadership wants to frame that shift honestly or optimistically.

That's the real tension behind Zinman's memo. Calling the restructuring an embrace of an "AI Work Platform" vision isn't necessarily dishonest, Monday.com genuinely is building AI agent features into its product. But it also doesn't fully explain why 630 people needed to lose their jobs to get there, or why a company simultaneously projecting 20% revenue growth needed a workforce reduction this size to fund an internal pivot it says wasn't primarily about cutting costs. Investors, and the roughly 140,000 tech workers laid off across the industry this year, are increasingly reading between those lines rather than taking the framing at face value.