Layoffs Blamed on AI · Jobs Cut per Month (Killed by AI)

## What this measures

The number of jobs cut in layoffs announced in each month where the company, its CEO or a regulatory filing explicitly blamed AI, automation or an AI strategy, as listed by Killed by AI. Months with no listed layoff are zero. The month in progress is left out until it ends.

## Why it matters

It counts the layoffs employers themselves attribute to AI, which is the narrowest and most defensible definition there is. Most job losses linked to AI in public debate are inferred; these are the ones a company put its name to.

## How to read it

Expect spikes: one large announcement dominates a month. The largest single entry (Oracle, June 2026) is a net drop in headcount reported in its annual filing, which ties the reduction to AI, rather than a stated layoff count. Read the 12-month total (labor.ai_layoffs.killedbyai.jobs_12m) for the trend, and the number of announcements (labor.ai_layoffs.killedbyai.events_monthly) to see whether more companies are citing AI or a few are cutting more.

## What it does not say

It counts what gets reported, not every layoff: a cut the company did not explain, or explained another way, is not here, and small companies are rarely covered. The list is curated by hand from company statements, filings and named-source reporting, so entries are added and corrected after the fact and past months can change. Counts are what the company disclosed; where only a WARN filing is public, the smaller filed number is used. Companies are worldwide, mostly U.S.-listed. It is not the Challenger, Gray & Christmas count of U.S. job cuts attributed to AI, which uses its own method.

## Source

Killed by AI (killedbyai.net), CC BY 4.0, the AI layoffs tracker (killedbyai.net/layoffs/, data at killedbyai.net/layoffs.json), maintained by Patrik Rojan. Each entry links its source. Palanor sums entries by announcement month and refreshes daily.