AI-Cited Tech Layoffs Surpass 75,000 in 2026 as Oracle, Meta and ServiceNow Slash Headcount — While Engineering Roles Prove Surprisingly Resilient
The scale of AI-driven workforce reduction in 2026 has reached a level that is difficult to ignore. According to TechCrunch's running tracker of major technology layoffs, AI-cited cuts have totalled more than 75,000 positions so far this year, with May 2026 recording the highest single-month layoff total in years according to outplacement firm Challenger, Gray & Christmas. Oracle alone disclosed in its June 22 annual filing that it reduced its workforce by 21,000 employees over the past twelve months — a 13% decline — with the company stating directly that "the adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce." The cuts came even as Oracle posted $3.7 billion in quarterly net income, up 27% year-on-year, with savings redirected toward AI data centres.
The pattern is widening across the sector. ServiceNow laid off hundreds of employees on June 24 as the enterprise software company continues to increase its use of artificial intelligence. Meta eliminated approximately 8,000 employees — roughly 10% of its workforce — in May, while simultaneously moving about 7,000 employees into newly created AI-focused roles. Intuit announced plans to eliminate roughly 3,000 jobs, about 17% of its total workforce, in a restructuring centred on reducing complexity and reallocating resources toward AI. GitLab cut roughly 350 workers — about 14% of its staff — on June 3 to fund AI infrastructure investment, with CEO Bill Staples describing a "generational rebuild" of its core infrastructure. As of June 27, tracker data compiled by SkillSyncer shows 267 layoff events in 2026 impacting 185,894 workers, averaging approximately 1,044 job losses per day.
Yet the narrative of AI as a wholesale job destroyer is complicated by new hiring data. Researchers at venture firm SignalFire, whose analysis tracked the careers of millions of employees across more than 80 million companies, found that engineering was the most resilient job function in 2025. While total hiring across large tech companies dropped 25% compared to 2019 levels, engineering roles saw a much smaller decline of just 11%, according to SignalFire's latest State of Talent Report. Engineers comprised 55% of all new hires in 2025 across the twelve companies SignalFire classifies as Tech Majors — including Alphabet, Meta, Apple, Amazon, Microsoft, Netflix, Nvidia, Tesla, Uber, Airbnb, Block, and Stripe — a significant jump from 46% in 2019. SignalFire's head of research, Asher Bantock, told TechCrunch that if AI were truly substituting for engineering talent, engineering hiring would be the first to fall; instead, the data shows engineering headcount growing faster than most other job functions.
The roles being eliminated reveal a consistent profile. According to analysis by SkillSyncer, 56% of layoff events this year explicitly cite AI, automation, or machine learning as a driving force, affecting more than 156,000 workers across 150 companies. The roles being cut at scale are concentrated in customer support, content moderation, data entry, QA testing, and traditional back-office functions. Salesforce told Fortune that because of the efficiencies of its Agentforce platform, it had seen support cases decline and no longer needed to actively backfill support engineer roles. Amazon CEO Andy Jassy has stated publicly that as generative AI and agents are rolled out more broadly, they should fundamentally change the way work is done. The question debated increasingly by analysts is whether these companies are genuinely automating away roles or using AI as a palatable justification for cuts that stem partly from pandemic-era overhiring.
For working professionals, the strategic implications are acute. PwC's 2026 Global AI Jobs Barometer, which analysed more than one billion job advertisements across 27 countries and territories, found that jobs requiring specific AI skills are growing roughly eight times faster than the total jobs market, with the average wage premium for AI skills rising to 62%. The Stanford HAI 2026 AI Index found that AI-related skills now appear in 2.5% of all US job postings, a 297% increase over the past decade. The roles being created — in prompt engineering, AI safety, machine learning operations, and AI governance — are fewer in number but substantially higher in compensation and career durability. As the June 2026 employment situation report from the Bureau of Labor Statistics, due on July 2, is set to provide the next authoritative snapshot of the macro labour market, professionals navigating this moment would do well to treat AI literacy not as a niche technical option but as a baseline survival skill in virtually any knowledge-work career.