Microsoft announced on Monday that it would cut about 4,800 positions, representing 2.1% of its global workforce. The company said these roles "will not be replaced by AI," but acknowledged that "AI is changing the way we work," automating many routine tasks.

This is just a snapshot of the tech industry's layoff wave in 2026. Companies are reporting record revenues while cutting staff, with AI being simultaneously packaged as a growth engine and a justification for layoffs. According to Challenger, Gray & Christmas data, tech layoffs in May reached the highest monthly level in recent years, with AI being the most commonly cited reason. Layoffs.fyi estimates that about 120,000 tech jobs have been cut so far in 2026.

We've written before that companies might want to reconsider this rationale—especially since many teams went on hiring sprees during the pandemic. Are these layoffs really because of AI, or because they simply hired too many people back then?

Below is a reverse-chronological list of major tech layoffs in 2026 where AI was cited as a reason.

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**Oracle** — June 22, 2026. Oracle disclosed in its annual financial filing that its workforce decreased by 21,000 employees over the past 12 months, a 13% drop—more than previously known. The company said: "The adoption and deployment of AI technologies have resulted, and may continue to result, in headcount reductions."

**GitLab** — June 3, 2026. GitLab laid off about 350 people (14% of staff), redirecting savings to AI infrastructure. CEO Bill Staples said AI workloads "are pushing competitors to the edge," and the company is "rebuilding core infrastructure to support 100x growth." GitLab exited 22 countries, reduced management layers, and partnered with an AI lab to rebuild its platform. Q1 revenue was $264 million, up 23% year-over-year, with restructuring costs estimated at $30-35 million.

**Google** — Ongoing in May 2026. Alphabet's Google quietly cut employees in its Cloud division, including the threat intelligence group and Mandiant-related security personnel. Cloud revenue grew 63%, surpassing $20 billion for the first time, with backlog doubling to over $460 billion. Over the past year, Google eliminated more than a third of middle managers who oversaw small teams. Google has never disclosed its total layoff count; external estimates suggest 1,500 to 3,000+ engineers were cut in 2026.

**Intuit** — May 20, 2026. Intuit plans to cut about 3,000 employees (17% of staff) in a restructuring focused on AI. CEO Sasan Goodarzi told employees the company needs to reduce complexity and simplify structure to deliver better products.

**Meta** — May 20-21, 2026. Meta laid off about 8,000 people (10% of staff), while moving about 7,000 employees to new AI roles (which they reportedly dislike). Zuckerberg said the layoffs were because "success is not guaranteed."

**Cisco** — May 14, 2026. Cisco announced it would cut nearly 4,000 employees (5% of staff), despite profits and revenue exceeding expectations. CFO Mark Patterson said: "This isn't about saving money... it's about reallocating resources to chips, optics, security, and AI."

**Cloudflare** — May 7-8, 2026. Cloudflare laid off about 20% of its workforce (1,100 people). Quarterly revenue was $639.8 million, up 34% year-over-year, a record high. CEO Matthew Prince said: "The vast majority of people we let go were 'measurers'—middle management, finance, legal, internal audit, revenue recognition."

**General Motors** — May 12, 2026. GM cut 500-600 IT positions, primarily in Austin and Warren. Insiders said AI was a factor but not the only reason. GM stated it is "transforming its IT organization" and still has about 80 IT job openings after the cuts, including roles in AI, racing, and autonomous driving.

**Coinbase** — May 5, 2026. Coinbase laid off about 700 people (14% of staff) in a restructuring to address market volatility and improve AI efficiency. The company compressed organizational layers to five levels below the CEO and COO, experimenting with "one-person teams." CEO Brian Armstrong said AI has changed the pace of work: "Engineers using AI can complete in days what used to take teams weeks."

**PayPal** — May 5, 2026. PayPal plans to cut about 20% of its workforce (over 4,500 people) over the next two to three years, centered on AI adoption and organizational simplification. CEO Enrique Lores said the company will "aggressively adopt AI" and established an "AI Transformation and Simplification" team reporting directly to him to redesign processes across every function.

**Microsoft** — April-May 2026. Microsoft offered voluntary buyouts; the number of affected employees was not disclosed. CFO Amy Hood said total headcount declined year-over-year and is expected to continue declining as the company aims to "build high-performance teams that operate with speed and agility."

**Snap** — April 16, 2026. Snap laid off about 16% of its global workforce (approximately 1,000 people) and closed over 300 open positions. CEO Evan Spiegel said AI progress was a key driver: "AI allows teams to reduce repetitive work and increase speed."

**IBM** — Rolling throughout 2026. From Q4 2025 through Red Hat engineering layoffs in April 2026, an estimated 3,000 to 9,000 U.S. positions were cut, totaling over 15,000 since September 2024. Bloomberg reported that IBM plans to increase entry-level hiring for AI and hybrid cloud roles, while about 200 HR positions were replaced by AI agents.

**Atlassian** — March 11, 2026. Atlassian laid off about 1,600 people (10% of staff) in a "rebalancing" toward AI and enterprise sales. CEO Mike Cannon-Brookes said: "Our approach is not 'AI replaces people,' but it would be dishonest to pretend AI doesn't change the skills and number of roles required."

**Dell** — January 30, 2026 (disclosed in March). Dell reduced its workforce by about 10% (approximately 11,000 people) in fiscal 2026, down to 97,000 employees, with severance costs of $569 million. The company expects AI-optimized server revenue could double in fiscal 2027.

**Oracle** — March 5-31, 2026. Oracle notified employees via mass emails of thousands of job cuts. Quarterly net income was $3.7 billion, up 27% year-over-year, with remaining performance obligations surging 325% to $553 billion—savings redirected to AI data centers. Later, on June 22, it disclosed a total of 21,000 cuts over 12 months.

**Block** — February 26-27, 2026. Jack Dorsey's Block laid off 4,000 people, nearly half its workforce, dropping from over 10,000 to under 6,000. Dorsey wrote on X: "The intelligent tools we're using, combined with smaller, flatter teams, are unlocking new ways of working. I think most companies are late. In the next year, most will come to the same conclusion and make similar structural adjustments."

**Salesforce** — February 10, 2026. Salesforce laid off fewer than 1,000 employees, involving marketing, product management, data analytics, and the Agentforce AI division. The company told Fortune: "Because of the efficiency gains from Agentforce, support case volumes have declined, and we no longer need to actively backfill support engineer positions." Previously, it had cut about 4,000 customer service roles, reducing the team from 9,000 to 5,000. CEO Marc Benioff said the company "needs fewer people" because AI agents are doing the work.

**Amazon** — January 28, 2026. Amazon cut 16,000 corporate positions, adding to 14,000 cuts in October 2025, reducing about 9% of its corporate workforce in three months. The company said this was to "reduce layers, increase ownership, and eliminate bureaucracy." CEO Andy Jassy said in June 2025: "As we roll out more generative AI and agents, the way we work will change. In the coming years, we expect this to reduce total corporate headcount as AI drives efficiency gains."


**Bottom line**: In 2026, tech companies used AI as a shield to lay off at least 120,000 people. Revenues hit new highs while employees lost their jobs. AI is indeed changing work, but more often than not, it's simply giving companies an opportunity to correct pandemic-era over-hiring. As for those laid off—they might wonder: if AI is so powerful, why are companies still hiring for AI-related roles?