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Block Cuts 4,000 Jobs, CEO Dorsey Explicitly Cites AI
news·September 18, 2026·By AI Cuts Editorial

Block Cuts 4,000 Jobs, CEO Dorsey Explicitly Cites AI

Block has cut 4,000 jobs, reducing its workforce by 40 percent, with CEO Jack Dorsey explicitly attributing the layoffs to AI capabilities.

Block's AI-Driven Workforce Reduction

Block, the fintech company formerly known as Square, has eliminated 4,000 roles, reducing its headcount by 40 percent. CEO Jack Dorsey has explicitly stated that artificial intelligence was the key factor behind the decision, making Block one of the most direct examples of a company linking job cuts to AI capabilities.

Dorsey's Account of the Decision

According to reporting by Fortune, Dorsey said the decision crystallised last December when he and other executives experimented with advanced AI models, including Anthropic's Opus 4.6 and OpenAI's Codex 5.3. The capabilities of these tools convinced leadership that the company could operate with far fewer people. Dorsey explained on Sequoia Capital's Long Strange Trip podcast that the team calculated the minimal number of people needed to keep the service running at full capacity, remain compliant with regulators, and meet growth commitments.

Dorsey said he wanted to act decisively rather than delay inevitable cuts, stating that he preferred to be ahead of the change so the company could act with integrity and generosity toward both departing and remaining employees. The layoffs reduced Block's headcount from 10,000 to about 6,000 and were executed within three weeks of the leadership's decision.

In a note to the board, Dorsey and Sequoia partner Roelof Botha described AI as prompting a fundamental organisational shift away from traditional management hierarchies. Dorsey acknowledged mistakes in the initial calculations but said the company left buffer headcount to adjust.

Broader Tech Layoff Context

Block's cuts are part of a larger wave of tech industry job losses in early 2026. According to Tom's Hardware, approximately 78,557 workers lost their positions across the sector between January and early April, with more than 76 percent of those cuts concentrated in the United States. The Layoffs.fyi database, cited by TechRadar, recorded 70,474 estimated losses in Q1 alone, compared with 29,845 in Q1 2025 and 57,269 in Q1 2024.

Other major actions include Oracle's reduction of up to 30,000 employees in late March, Amazon's cut of 16,000 corporate positions, and Meta's trimming of 1,500 from its Reality Labs division while reportedly considering cuts of up to 20 percent of its total headcount.

AI Attribution and Uncertainty

A central question remains how much of the broader layoff wave is genuinely AI-driven versus AI-excused. Industry trackers cited by Tom's Hardware attribute 47.9 percent of Q1 layoffs to AI-driven automation, while companies themselves explicitly attribute only 20.4 percent to AI and automation. The gap suggests either over-attribution by external analysts or under-reporting by companies.

Cognizant Chief AI Officer Babak Hodjat told Nikkei Asia, as quoted by TechRadar, that AI often serves as a scapegoat for restructuring decisions driven by other factors. He noted that productivity gains from AI deployments would require another six months to a year before materialising in most organisations.

A Duke University CFO survey published in March found that 44 percent of chief financial officers plan AI-related job reductions this year, projecting roughly 502,000 roles eliminated nationwide, a ninefold increase from the 55,000 AI-attributed layoffs recorded in 2025. However, the survey's director, John Graham, told Fortune that this still represents only 0.4 percent of the total U.S. workforce and is not the doomsday scenario sometimes seen in headlines.

The roles being eliminated follow a pattern: customer support, quality assurance, content moderation, and middle management are bearing the heaviest losses, while entry-level positions in software development and data analysis are also being restructured. At the same time, AI and machine learning engineering roles saw a 34 percent year-over-year increase in job postings through March, while overall tech job postings declined 8 percent.

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This summary was prepared with AI assistance and reviewed by our editorial team.

Published by AI Cuts · Data estimated from public reporting · Methodology