Our Methodology

AILayoff.live tracks AI-driven job displacement using a rigorous, multi-source verification process. Here's how we collect, classify, and publish data.

Data Sources

We aggregate data from public, verifiable sources including:

SEC filings (10-K, 10-Q, 8-K) via EDGAR
Company earnings calls and investor presentations
Official company press releases and blog posts
Major financial news outlets (Reuters, Bloomberg, WSJ)
Technology publications (TechCrunch, The Verge, Ars Technica)
Government labor statistics and reports
Research from Goldman Sachs, McKinsey, WEF

Classification System

Confirmed

Direct company announcement, SEC filing, or official statement explicitly mentioning AI-driven job cuts with specific numbers.

Likely

Strong evidence from multiple credible sources. Company has announced AI replacement initiatives alongside layoffs, but hasn't explicitly linked the two.

Possible

Single-source reports or circumstantial evidence. Layoffs occurred at a company actively deploying AI in the affected department.

Verification Process

Step 1: Initial report flagged from news monitoring
Step 2: Cross-reference with at least 2 independent sources
Step 3: Classify confidence level (Confirmed / Likely / Possible)
Step 4: Assign sector, geography, and job count estimates
Step 5: Publish with source citations; flag for review if disputed

Update Frequency

Data is updated daily during business hours (EST). Major events are added within hours. Historical data is revised as new information becomes available. All revisions are logged.