344
Productivity & Workflow355
Automation & Workflow224
Software Development251
Marketing & Growth192
AI Infrastructure & MLOps174
Writing & Content Creation203
Data & Analytics141
Design & Creative170
Photography & Imaging156
Customer Support131
Sales & Outreach125
Voice & Speech135
Education & Learning131
Operations & Admin87
A TechCrunch list shows major 2026 tech layoffs where companies pointed to AI and automation as part of the reason, even as some reported strong revenue.
In short: A growing number of large tech companies are cutting jobs in 2026 and some are pointing to AI as part of the reason.
TechCrunch published a running list of major layoffs in 2026 where employers cited AI, meaning software that can do some tasks that used to need people. The list shows a pattern across the industry, companies are shrinking teams while also saying they are investing more in AI.
Microsoft said it eliminated about 4,800 roles, or 2.1% of its global workforce. The company said the roles were “not being replaced by AI,” but also said AI is changing how work gets done by automating everyday tasks.
Other examples in the list include Oracle, which disclosed a net reduction of 21,000 employees over 12 months and said adopting AI “may continue to result” in workforce reductions. Intuit said it plans to cut roughly 3,000 jobs, about 17% of staff, to simplify the company and refocus on AI. Cloudflare cut about 20% of its workforce, around 1,100 people, and its CEO said many roles had become obsolete due to automation, even as the company reported record quarterly revenue.
TechCrunch also cites outside tracking that suggests the scale is large. Layoffs.fyi estimates roughly 120,000 tech roles have been cut in 2026 so far. Challenger, Gray & Christmas reported that May had the highest single month for tech layoffs in years and that AI was the most cited reason.
Watch whether more companies describe job cuts as “efficiency” moves tied to AI, while still hiring for new AI-focused roles. For workers, this can look like a store adding more self-checkout lanes (fewer cashiers, but more jobs maintaining the machines).
Source: TechCrunch AI