The arithmetic has gotten worse. As this paper reported yesterday, the first quarter of 2026 produced 52,050 tech layoffs in the United States, according to Challenger, Gray & Christmas. [1] That is 963 people per day. It is a 40 percent increase over Q1 2025. And the pace is accelerating: March alone accounted for 18,720 of them, a 25 percent jump from February. [2]

The daily rate tells the story more honestly than the quarterly total. Nine hundred and sixty-three people per day means that between the time most Americans ate breakfast and went to bed, nearly a thousand tech workers learned they no longer had jobs. Some learned by email. Oracle's 30,000 layoffs on March 31 arrived via a 6 a.m. message signed "Oracle Leadership" -- no manager call, no HR meeting, no warning. [3] The company's stock rose 5 percent the same day. The market does not mourn headcount.

AI was cited as the reason for 27,645 job cuts in Q1, approximately 13 percent of all cuts across all industries, according to the Challenger report. [2] In March, AI was the single most cited reason for layoffs at 15,341 cuts -- roughly one in four March layoffs company-wide. [4] The acceleration from January to March is not because artificial intelligence suddenly became capable of replacing a quarter of the workforce in sixty days. It is because AI became the acceptable explanation. A cost cut dressed as a strategy.

The Challenger data reveals what the press releases obscure. The companies citing AI as the cause of layoffs are not, in the main, replacing humans with machines. They are eliminating human positions and redirecting the savings toward infrastructure -- GPU clusters, data center construction, energy contracts -- that may eventually power AI systems capable of doing some fraction of what the eliminated workers did. [5] Oracle is spending $156 billion on AI data center buildout. The 30,000 eliminated positions represent approximately $8-10 billion in annual labor savings. The capital flows from payroll to concrete and silicon. The companies call this transformation. A more precise word is substitution.

Bloomberg reported the Q1 numbers as the continuation of a structural shift: tech employers are treating AI investment and labor reduction as the same line item. [6] The total across all industries -- 217,362 job cuts in Q1 -- was actually the lowest quarterly total since 2022. Technology is the outlier. While other sectors stabilized, tech went the other direction. The 52,050 tech cuts represent 24 percent of all Q1 layoffs despite tech employing a far smaller share of the total workforce.

Business Insider's analysis called it the worst Q1 for tech employment since 2023, when the post-pandemic correction produced similar numbers but without the AI narrative. [5] In 2023, companies blamed over-hiring. In 2026, they blame the future. The workers are equally unemployed either way.

The global picture is grimmer still. Tracker data compiled from multiple sources places worldwide tech layoffs above 55,000 for Q1, or approximately 736 per day on the international count. [1] The United States accounts for the majority, but layoffs at companies like Oracle, which cut 12,000 positions in India alone, demonstrate that the restructuring is global in scope and concentrated in the same demographic: mid-career engineers, project managers, and the support staff that makes software companies run.

Block's CEO Jack Dorsey blamed a recent round of 4,000 layoffs on AI explicitly, telling employees the company would "replace roles that AI can handle." [1] Dell, which contributed significantly to the March surge, described its cuts as "simplifying" for an AI-first operating model. [4] The language varies. The outcome does not.

The AI excuse is not a conspiracy. It is a convenience. It turns a cost-cutting decision into a narrative of progress, a firing into an investment thesis, and a quarterly restructuring into a vision statement. The 52,050 are not victims of artificial intelligence. They are casualties of artificial justification.

-- ANNA WEBER, Berlin