AI Layoffs TrackerMethodology · Latest entry

How this tracker is built

What the AI-Related Layoffs Database counts, how each entry is sourced and labelled, and what the numbers can and cannot tell you.

What gets included

Attribution levels

Every entry records who connected the cuts to AI:

Explicit
The company, or an executive speaking for it, cited AI or automation as a reason the roles were no longer needed, in a memo, press release, filing, earnings call or on-record statement.
Strong
The company did not say so directly, but credible reporting established AI as a driver, or the company said the cuts would fund or refocus resources on AI.

"Explicit" means the company made the claim, not that AI demonstrably did the work. Company statements are recorded as made and are not independently verified.

How AI is linked to the cuts

Separately from who made the link, each entry records what the source says AI has to do with the cuts:

Automation
AI or automation now does the work the cut roles did, or lets smaller teams do it.
Reinvestment
The cuts free money or attention for AI: data centres, AI products or AI-focused hiring. AI is not said to have replaced anyone.
Disruption
AI eroded demand for the company's product, for example by diverting search traffic.

The field is left empty when the source cites AI only in general terms ("AI is changing how we work") without saying which. It is read from the source's own wording and is not a judgement of whether the claim is true.

Counting rules

Sources and verification

Every entry links to the news report, company statement or regulatory filing it is based on. New candidates are found by monitoring news coverage, and each one is checked by hand against its source before it is added.

How this compares with other counts

This dataset is a sample of publicly reported cases, not a census. Cuts that are never reported in the press are missing, so it undercounts.

It is not comparable with Challenger, Gray & Christmas, whose monthly report counts job cuts announced by U.S.-based employers and sorts them by the reason the employer gave. Challenger's latest AI figure is 120,136 (U.S. job cuts citing AI, Jan–Sep 2026). This tracker covers companies in every country, includes cuts attributed to AI by credible reporting, and names each company. Do not add or subtract the two figures.

Download and field definitions

The full dataset is free to download as CSV or JSON under CC BY 4.0. See press & data reuse for how to cite it.

FieldMeaning
idStable identifier: company slug plus the entry date.
dateDate the cuts were announced or first reported (YYYY-MM-DD).
companyCompany making the cuts.
countryThe company's home country, not where the cuts happened.
industryThe company's industry.
sectorsBusiness lines affected (semicolon-separated in the CSV).
rolesRoles affected as reported; "Various" when the source gives no breakdown (semicolon-separated in the CSV).
employees_affectedHeadcount exactly as reported: a number, a percentage such as "40%" or a range such as "4000-6000". Empty when no figure was disclosed.
employees_affected_exactThe headcount when it was reported as an exact number, otherwise empty. Only these values are summed in the tracker's totals.
attribution"explicit" when the company itself cited AI; "strong" when credible reporting established it.
mechanismHow the source links the cuts to AI: "automation" when AI or automation does, or removes the need for, work the cut roles did; "reinvestment" when the cuts fund or refocus resources on AI; "disruption" when AI eroded demand for the company's product. Empty when the source cites AI only in general terms. When a source gives more than one, the one it puts first.
reasonSummary of the cuts and of how AI was cited.
sourcePublisher of the source.
source_urlLink to the source.

Corrections policy

If an entry is wrong, missing a better source or should not be here, tell us on X at @AILayoffs. Corrections are made once checked against a source, and every correction or removal is dated in the changelog below.

Changelog