About claudeatemyjob
An independent register of AI-attributed workforce reductions. Every entry is evidence-first — a verbatim quote from the company, on the record, attached to every event we publish.
Editorial mission
claudeatemyjob tracks layoffs that companies have publicly connected — on the record — to AI, automation, or AI-driven efficiency gains. We exist because the public record is scattered across earnings calls, press releases, and news coverage, and because the signal is easy to miss or overclaim.
Our goal is a reliable, primary-source-backed register that researchers, journalists, workers, and policymakers can trust. We don't track rumour, inference, or macro trend commentary — only events where a named company has made a specific, attributable statement.
Editorial standards
Every entry in the register must satisfy the inclusion rules described in full on the Methodology page. The core requirements are a verbatim quote connecting the workforce action to AI, at least one public source URL, and a confidence tier grading the quality of AI attribution — not the size of the event.
When evidence is ambiguous we choose lower confidence, weaker attribution strength, and prefer omission over overclaiming. We give highest weight to first-party filings, transcripts, and executive statements, and we do not publish based solely on aggregator sites or unverified community claims.
Who runs this site
claudeatemyjob is maintained by an independent editor focused on labour-market transparency. The register is not affiliated with any company mentioned in the dataset and does not accept paid placements or sponsored entries.
Contact & corrections
Found an error? Have a sourced addition or a takedown request? We take accuracy seriously and will review every submission.
Disclaimer
claudeatemyjob is not affiliated with any company listed in the register. All events are sourced from public statements, news reporting, and regulatory filings. The AI attribution is drawn from the companies' own words — we do not editorially assert causation beyond what the primary sources support. Corrections are always welcome.