Since the beginning of the year, US corporations have attributed 101,743 layoffs to artificial intelligence—nearly double the total for all of last year. The figure sounds staggering until you look closely at the financial statements of the companies carrying out these "technological purges."
Project management platform developer monday.com recently announced a 20% headcount reduction, cutting around 630 employees. In its SEC filings, the company framed the move as a shift toward a "leaner operating model" to support its AI roadmap. Yet the underlying business is thriving: first-quarter revenue surged 24% to $351 million, with full-year guidance projecting a further 19–20% increase. Despite this, monday.com joined more than two dozen tech firms using trendy algorithmic narratives to mask basic cost-cutting.
Trading Headcount for Data Centers
According to data from Challenger, Gray & Christmas, the "due to AI" justification accounted for just 7% of announced US layoffs in January. By March, that figure climbed to 25%, reached 26% in April, and peaked at 40% in May—translating to 38,579 eliminated jobs in a single month.
The tech sector has been the epicenter of this trend, driving nearly 140,000 layoffs year-to-date. The lion's share—roughly 50,000 roles—was eliminated by Amazon, Oracle, Microsoft, and Meta, shrinking their combined corporate headcount by around 6%.
The underlying corporate logic is straightforward: Big Tech is reallocating capital toward infrastructure. Amazon, Alphabet, Meta, and Microsoft are projected to pour around $725 billion into data centers and compute capacity this year. Slashing payroll is an easy way to fund that buildout. However, foundation models have made no sudden generational leaps over the past four months that could justify a fivefold spike in AI-attributed layoffs. This is an incremental evolution of enterprise software, not the sudden replacement of entire departments by autonomous agents.
Market Skepticism and Internal Restructuring
Wall Street is increasingly skeptical of the AI excuse. Market performance data reveals that shares of companies citing AI as the reason for layoffs underperform the Nasdaq index by nearly 10% on average over the subsequent 30 trading days. In contrast, businesses citing traditional restructuring drivers trail the benchmark by only 4%.
A CNBC analysis of 23 S&P 500 companies that announced tech-driven headcount reductions confirms this pattern: 13 suffered severe pullbacks, posting an average share price drop of roughly 25%, including Nike, Salesforce, and Fiverr. A Gartner survey of 350 executives highlights a similar reality: mechanically slashing headcount under the guise of automation fails to improve operational performance. Instead, sustainable gains go to companies that augment existing teams with applied AI tooling.
Sam Altman addressed this rhetoric as early as February, calling it "AI washing"—an attempt to blame technology for inevitable corporate restructuring.
Scale AI CEO Jason Droge openly noted that executives use AI as a convenient cover for routine cost reductions. Apollo Global Management Chief Economist Torsten Sløk added that lagging companies have turned technological progress into an alibi for past overhiring. Inside these organizations, the reality is far more nuanced than simply replacing staff with code: Meta cut 8,000 roles while opening 7,000 new positions dedicated to AI infrastructure; IBM is tripling junior hiring in targeted technical segments; and Oracle, which eliminated 21,000 roles (13% of its workforce) over the past year, is actively managing operational risk across its divisions.
Research from Stanford University's Digital Economy Lab confirms that job losses remain concentrated in heavily standardized, routine operations, while roles with assistive workflows continue to see robust demand. Because Challenger's data relies on employer self-reporting, CFOs and operations leaders must separate genuine productivity gains from narrative-driven spin: real efficiency is measured by increased output per employee and lower total cost of ownership, not by sensational press releases aimed at defending short-term margins.