TechCrunch keeps an updated list. It's called "The Running List: Major Tech Layoffs in 2026 Where Employers Cited AI," and it's constantly updated. It's one of the most read — and most discussed — documents in the tech sector.
The main figure: in 2026, 56% of layoff announcements in the tech sector explicitly cite AI, automation, or machine learning as a factor. Around 156,000 workers affected.
But there's a question worth asking: is AI really the cause, or has it become the most convenient explanation?
The Companies on the List
The most significant cases documented so far:
Meta — May 2026: around 8,000 employees laid off, 10% of its workforce. The company said it's moving around 7,000 employees into new AI-focused roles. Revenue: at an all-time high.
Intuit — around 3,000 employees, 17% of its total workforce. The restructuring is described as reducing operational complexity while reallocating resources toward AI.
Cisco — around 4,000 employees, 5%. CFO Mark Patterson explicitly stated: "We're realigning resources toward silicon, optics, security, and AI."
Cloudflare — around 1,100 employees, 20% of its workforce. The paradox: in the same quarter, the company reported revenue of $639.8 million, up 34% year over year.
The Paradox Experts Are Flagging
The pattern emerging from the list is counterintuitive: companies laying off workers while citing AI are often not in financial trouble. They're profitable, growing, with record revenue.
This has led some analysts and observers to distinguish between:
Layoffs caused by AI — where automation has literally made a specific role redundant (call centers, content moderation, some data analysis roles)
Layoffs with AI as narrative — where the restructuring probably would have happened anyway (cost cuts, strategy changes, post-pandemic correction of 2021-2022 overhiring) but AI provides a justification that sounds modern and inevitable
The distinction isn't academic. It has consequences for how we interpret the 56% figure and what we should expect in the coming years.
The Meta Case as a Case Study
Meta is the most instructive. The company lays off 8,000 people and at the same time says it wants to move 7,000 into AI-focused roles. This suggests not a simple human→AI substitution, but a more complex restructuring: some roles become obsolete, others change in nature, new roles emerge.
The net effect is still negative — fewer total jobs. But the narrative that "AI is replacing workers" is only partially accurate in describing what's happening.
What This Means for the Job Market
Three trends emerge from the list:
Roles at immediate risk: content moderation, data entry, standardized report analysis, first-line customer support
Roles in transformation: developers (increasingly working with AI agents), marketing (less execution, more strategy and quality control), design (AI for production, humans for creative direction)
Growing roles: AI trainers, prompt engineers, AI product managers, AI security specialists, hybrid human-AI roles
TechCrunch's list will keep being updated. The 56% figure is real and significant. But reading every layoff as "AI took the job" risks oversimplifying a much more complex structural change — one that also includes the correction of post-pandemic overhiring and the strategic choices of individual companies.