Ninety days of tracked cuts, in three numbers.
Computed from the curated dataset below — every event sourced and hand-classified. The window is anchored to the last refresh date, not today: between updates these numbers hold still, honestly.
Already announced. Not yet effective.
Layoffs companies have publicly telegraphed — through earnings calls, SEC filings, or internal memos — but whose effective dates are still ahead. Confidence is medium by default: scope and timing can shift.
The most recent rounds.
The latest entries in the tracker. For the full set across 2024–2026, scroll down to browse all.
"We don't need as many people."
Five quotes from the last two years where companies explicitly tied layoffs to AI replacement. These aren't analyst speculation — they're CEOs and press releases. Confidence: high.
Layoffs over time, by reason
Each circle is a layoff event. Size scales with headcount. Color shows the primary reason. Hover or tap for details. Tip: toggle "AI-only" below to filter to the cuts that named it.
Some companies blame AI. Others now go out of their way not to.
Two things are true at once in this dataset: AI is cited more often than any other single reason, and a growing number of CEOs are explicitly saying their cuts had "nothing to do with AI." Both are claims about the same technology, made in public, by the people doing the cutting. Here they are side by side.
Outside this dataset: Challenger, Gray & Christmas counted 3,462 AI-attributed job cuts in August 2026, AI's lowest monthly total since December 2025 and the first month since February it was not the most-cited reason, while AI stayed the leading reason year-to-date at roughly 22% of all announced cuts. A denial is a statement, not proof, and neither is a blame.